AWS MCP Servers vs Cloudflare MCP Servers: both are coding tools on Scriptiii AI Tools. AWS MCP Servers pricing: Free. Free to use. (reported by the maker) Cloudflare MCP Servers pricing: Free. Free to use. (reported by the maker) Both have 0 upvotes.
| Field | AWS MCP Servers | Cloudflare MCP Servers |
|---|---|---|
| Page | AWS MCP Servers | Cloudflare MCP Servers |
| Pricing (maker-reported) | Free. Free to use. | Free. Free to use. |
| Upvotes | 0 | 0 |
| Best for | ai-agents, mcp-server, cloud-platforms | ai-agents, mcp-server, cloud-platforms |
| Tagline | Suite of open-source MCP servers from AWS Labs covering AWS APIs, documentation, IaC and services. | Collection of product-specific MCP servers for Cloudflare services such as Workers, observability and docs. |
| Website | Visit AWS MCP Servers | Visit Cloudflare MCP Servers |
Pricing and pricing details come from the maker's submission. They are not independently verified.
A suite of specialized MCP servers that help you get the most out of AWS, wherever you use MCP.
[!TIP]
The Agent Toolkit for AWS is now live! The Agent Toolkit for AWS is the successor to the MCP servers, plugins, and skills available on AWS Labs, and was informed by feedback from customers like you. If you're building production software using coding agents or building agents for your own customers, we recommend Agent Toolkit for AWS. It includes IAM condition keys to distinguish agent actions from human ones, CloudWatch and CloudTrail visibility, and skills that have been evaluated for accuracy and effectiveness. This repo continues to work and accept contributions. Over time, the most useful projects here will move into Agent Toolkit for AWS.
The Model Context Protocol (MCP) is an open protocol that enables seamless integration between LLM applications and external data sources and tools. Whether you're building an AI-powered IDE, enhancing a chat interface, or creating custom AI workflows, MCP provides a standardized way to connect LLMs with the context they need.
An MCP Server is a lightweight program that exposes specific capabilities through the standardized Model Context Protocol. Host applications (such as chatbots, IDEs, and other AI tools) have MCP clients that maintain 1:1 connections with MCP servers. Common MCP clients include agentic AI coding assistants (like Kiro, Cline, Cursor, Windsurf) as well as chatbot applications like Claude Desktop, with more clients coming soon. MCP servers can access local data sources and remote services to provide additional context that improves the generated outputs from the models.
MCP Servers for AWS use this protocol to provide AI applications access to AWS documentation, contextual guidance, and best practices. Through the standardized MCP client-server architecture, AWS capabilities become an intelligent extension of your development environment or AI application.
MCP Servers for AWS enable enhanced cloud-native development, infrastructure management, and development workflows—making AI-assisted cloud computing more accessible and efficient.
The Model Context Protocol is an open source project run by Anthropic, PBC. and open to contributions from the entire community. For more information on MCP, you can find further documentation here
The MCP protocol currently defines two standard transport mechanisms for client-server communication:
The MCP servers in this repository are designed to support stdio only.
You are responsible for ensuring that your use of these servers comply with the terms governing them, and any laws, rules, regulations, policies, or standards that apply to you.
Important Notice: On May 26th, 2025, Server Sent Events (SSE) support was removed from all MCP servers in their latest major versions. This change aligns with the Model Context Protocol specification's backwards compatibility guidelines.
We are actively working towards supporting Streamable HTTP, which will provide improved transport capabilities for future versions.
For applications still requiring SSE support, please use the previous major version of the respective MCP server until you can migrate to alternative transport methods.
MCP servers enhance the capabilities of foundation models (FMs) in several key ways:
Improved Output Quality: By providing relevant information directly in the model's context, MCP servers significantly improve model responses for specialized domains like AWS services. This approach reduces hallucinations, provides more accurate technical details, enables more precise code generation, and ensures recommendations align with current AWS best practices and service capabilities.
Access to Latest Documentation: FMs may not have knowledge of recent releases, APIs, or SDKs. MCP servers bridge this gap by pulling in up-to-date documentation, ensuring your AI assistant always works with the latest AWS capabilities.
Workflow Automation: MCP servers convert common workflows into tools that foundation models can use directly. Whether it's CDK, Terraform, or other AWS-specific workflows, these tools enable AI assistants to perform complex tasks with greater accuracy and efficiency.
Specialized Domain Knowledge: MCP servers provide deep, contextual knowledge about AWS services that might not be fully represented in foundation models' training data, enabling more accurate and helpful responses for cloud development tasks.
Get started quickly with one-click installation buttons for popular MCP clients. Click the buttons below to install servers directly in Cursor or VS Code:
For AWS interactions, we recommend starting with:
| Server Name | Description | Install |
|---|---|---|
| AWS MCP Server (in preview) | Start here for secure, auditable AWS interactions! This remote, managed MCP server is hosted by AWS and combines comprehensive AWS API support with access to the latest AWS documentation, API references, What's New posts, and Getting Started information. Features pre-built Agent SOPs that follow AWS best practices, helping agents complete complex multi-step AWS tasks reliably. Built with safety and control in mind: syntactically validated API calls, IAM-based permissions with zero credential exposure, and complete CloudTrail audit logging. Access all AWS services for managing infrastructure, exploring resources, and executing AWS operations with full transparency and traceability. Read more |    |
| Server Name | Description | Install |
|---|---|---|
| AWS Knowledge MCP Server | A remote, fully-managed MCP server hosted by AWS that provides access to the latest AWS docs, API references, What's New Posts, Getting Started information, Builder Center, Blog posts, Architectural references, and Well-Architected guidance. | |
| AWS Documentation MCP Server | Get latest AWS docs and API references | |
Build, deploy, and manage cloud infrastructure with Infrastructure as Code best practices.
| Server Name | Description | Install |
|---|---|---|
| AWS IaC MCP Server | Complete Infrastructure as Code toolkit with CloudFormation documentation access, CDK best practices guidance, construct examples, security validation, and deployment troubleshooting | |
| AWS Cloud Control API MCP Server ⚠️ DEPRECATED | Direct AWS resource management with security scanning and best practices (Use AWS IaC MCP Server instead) |
| Server Name | Description | Install |
|---|---|---|
| Amazon EKS MCP Server | Kubernetes cluster management and application deployment | |
| Amazon ECS MCP Server | Container orchestration and ECS application deployment | |
| Server Name | Description | Install |
|---|---|---|
| AWS Serverless MCP Server | Complete serverless application lifecycle with SAM CLI | |
| AWS Lambda Tool MCP Server | Execute Lambda functions as AI tools for private resource access |
| Server Name | Description | Install |
|---|---|---|
| AWS Transform MCP Server | Manage AWS Transform workspaces, jobs, connectors, HITL tasks, and artifacts for mainframe, VMware, .NET, and custom code transformations | |
| Server Name | Description | Install |
|---|---|---|
| AWS Support MCP Server | Help users create and manage AWS Support cases | |
Enhance AI applications with knowledge retrieval, content generation, and ML capabilities
| Server Name | Description | Install |
|---|---|---|
| Amazon Bedrock Knowledge Bases Retrieval MCP Server | Query enterprise knowledge bases with citation support | |
| Amazon Kendra Index MCP Server ⚠️ DEPRECATED | Enterprise search and RAG enhancement (Use the AWS MCP Server instead) |
Work with databases, caching systems, and data processing workflows.
| Server Name | Description | Install |
|---|---|---|
| Amazon DynamoDB MCP Server | DynamoDB expert design guidance and data modeling assistance | |
| Amazon Aurora PostgreSQL MCP Server | PostgreSQL database operations via RDS Data API | |
| Server Name | Description | Install |
|---|---|---|
| AWS AppSync MCP Server | Manage and Interact with application backends powered by AWS AppSync | |
| Server Name | Description | Install |
|---|---|---|
| Amazon ElastiCache MCP Server | Complete ElastiCache control plane operations | |
| Amazon ElastiCache / MemoryDB for Valkey MCP Server | Advanced data structures and caching with Valkey | |
| Server Name | Description | Install |
|---|---|---|
| Registry of Open Data (RODA) MCP Server | Discover, explore, and preview open datasets on AWS | |
Accelerate development with code analysis, documentation, and testing utilities.
| Server Name | Description | Install |
|---|---|---|
| AWS IAM MCP Server ⚠️ DEPRECATED | Comprehensive IAM user, role, group, and policy management with security best practices (Use the AWS MCP Server instead) | |
| AWS Security Agent MCP Server | Automated security scanning, penetration testing, and remediation using AWS Security Agent | |
| OpenAPI MCP Server | Dynamic API integration through OpenAPI specifications |
Connect systems with messaging, workflows, and location services.
| Server Name | Description | Install |
|---|---|---|
| Amazon SNS / SQS MCP Server | Event-driven messaging and queue management | |
| Amazon MQ MCP Server | Message broker management for RabbitMQ and ActiveMQ | |
Monitor, optimize, and manage your AWS infrastructure and costs.
| Server Name | Description | Install |
|---|---|---|
| AWS Pricing MCP Server | AWS service pricing and cost estimates | |
| Amazon CloudWatch MCP Server | Metrics, Alarms, and Logs analysis and operational troubleshooting | |
Interact with AWS HealthAI services.
| Server Name | Description | Install |
|---|---|---|
| AWS HealthOmics MCP Server | Generate, run, debug and optimize lifescience workflows | |
| AWS HealthImaging MCP Server | Comprehensive medical imaging data lifecycle management with 21 tools for DICOM operations, datastore management, and automated discovery | |
AI coding assistants like Kiro, Cline, Cursor, and Claude Code helping you build faster
Workshop: Check out the Vibe Coding with AWS MCP Servers workshop for hands-on guidance and examples.
| Server Name | Description | Install |
|---|---|---|
| AWS API MCP Server | Start here for general AWS interactions! Comprehensive AWS API support with command validation, security controls, and access to all AWS services. Perfect for managing infrastructure, exploring resources, and executing AWS operations through natural language. | |
| AWS Knowledge MCP Server | A remote, fully-managed MCP server hosted by AWS that provides access to the latest AWS docs, API references, What's New Posts, Getting Started information, Builder Center, Blog posts, Architectural references, and Well-Architected guidance. | |
| Server Name | Description | Install |
|---|---|---|
| AWS IaC MCP Server | Complete Infrastructure as Code toolkit with CloudFormation documentation access, CDK best practices guidance, construct examples, security validation, and deployment troubleshooting | |
| AWS Cloud Control API MCP Server ⚠️ DEPRECATED | Direct AWS resource management with security scanning and best practices (Use AWS IaC MCP Server instead) |
| Server Name | Description | Install |
|---|---|---|
| OpenAPI MCP Server | Dynamic API integration through OpenAPI specifications | |
| Server Name | Description | Install |
|---|---|---|
| Amazon SageMaker AI MCP Server | SageMaker AI resource management and model development | |
| Amazon EKS MCP Server | Kubernetes cluster management and app deployment | |
| Server Name | Description | Install |
|---|
| Server Name | Description | Install |
|---|---|---|
| AWS HealthOmics MCP Server | Generate, run, debug and optimize lifescience workflows | |
| Server Name | Description | Install |
|---|---|---|
| AWS HealthLake MCP Server | Create, manage, search, and optimize FHIR healthcare data workflows with comprehensive AWS HealthLake integration, featuring automated resource discovery, advanced search capabilities, patient record management, and seamless import/export operations. | |
Customer-facing chatbots, business agents, and interactive Q&A systems
| Server Name | Description | Install |
|---|---|---|
| Amazon Bedrock Knowledge Bases Retrieval MCP Server | Query enterprise knowledge bases with citation support | |
| Amazon Kendra Index MCP Server ⚠️ DEPRECATED | Enterprise search and RAG enhancement (Use the AWS MCP Server instead) |
| Server Name | Description | Install |
|---|---|---|
| Document Loader MCP Server | Parse and extract content from PDF, DOCX, XLSX, PPTX, and image files | |
| Amazon Translate MCP Server | Neural machine translation across 75+ languages with batch processing and custom terminology | |
| Server Name | Description | Install |
|---|---|---|
| Amazon Location Service MCP Server | Location search, geocoding, and business hours | |
| AWS Pricing MCP Server | AWS service pricing and cost estimates | |
Headless automation, ETL pipelines, and operational systems
| Server Name | Description | Install |
|---|---|---|
| AWS Data Processing MCP Server | Comprehensive data processing tools and real-time pipeline visibility across AWS Glue, Amazon EMR-EC2, and Amazon Athena | |
| Amazon DynamoDB MCP Server | Complete DynamoDB operations and table management | |
| Amazon RDS Oracle MCP Server | Oracle Database operations via Secrets Manager authentication |
| Amazon RDS for Db2 MCP Server | Amazon RDS for Db2 operations via Secrets Manager authentication | |
| Server Name | Description | Install |
|---|---|---|
| Amazon ElastiCache / MemoryDB for Valkey MCP Server | Advanced data structures and caching with Valkey | |
| Amazon ElastiCache for Memcached MCP Server | High-speed caching with Memcached protocol | |
| Server Name | Description | Install |
|---|---|---|
| AWS Lambda Tool MCP Server | Execute Lambda functions as AI tools for private resource access | |
| Server Name | Description | Install |
|---|---|---|
| Amazon CloudWatch MCP Server | Metrics, Alarms, and Logs analysis and operational troubleshooting | |
| Amazon CloudWatch Application Signals MCP Server | Application monitoring and performance insights |
A Python library for creating serverless HTTP handlers for the Model Context Protocol (MCP) using AWS Lambda. This module provides a flexible framework for building MCP HTTP endpoints with pluggable session management, including built-in DynamoDB support.
Features:
See src/mcp-lambda-handler/README.md for full usage, installation, and development instructions.
MCP servers can be run either locally on your development machine or remotely on the cloud. Here's when to use each approach:
Note: Some MCP servers, like the official AWS MCP server (in preview) and AWS Knowledge MCP, are provided as fully managed services by AWS. These AWS-managed remote servers require no setup or infrastructure management on your part - just connect and start using them.
For example, you can use the AWS Documentation MCP Server to help your AI assistant research and generate up-to-date code for any AWS service, like Amazon Bedrock Inline agents. Alternatively, you could use the CDK MCP Server or the Terraform MCP Server to have your AI assistant create infrastructure-as-code implementations that use the latest APIs and follow AWS best practices. With the AWS Pricing MCP Server, you could ask "What would be the estimated monthly cost for this CDK project before I deploy it?" or "Can you help me understand the potential AWS service expenses for this infrastructure design?" and receive detailed cost estimations and budget planning insights. The Valkey MCP Server enables natural language interaction with Valkey data stores, allowing AI assistants to efficiently manage data operations through a simple conversational interface.
Each server has specific installation instructions with one-click installs for Kiro, Cursor, and VSCode. Generally, you can:
uv from Astraluv python install 3.10Example configuration for Kiro MCP settings (~/.kiro/settings/mcp.json):
{
"mcpServers": {
"awslabs-core-mcp-server": {
"command": "uvx",
"args": [
"awslabs.core-mcp-server@latest"
],
"env": {
"FASTMCP_LOG_LEVEL": "ERROR"
}
}
}
}
See individual server READMEs for specific requirements and configuration options.
When configuring MCP servers on Windows, you'll need to use a slightly different configuration format:
{
"mcpServers": {
"awslabs-core-mcp-server": {
"disabled": false,
"timeout": 60,
"type": "stdio",
"command": "uv",
"args": [
"tool",
"run",
"--from",
"awslabs.core-mcp-server@latest",
"awslabs.core-mcp-server.exe"
],
"env": {
"FASTMCP_LOG_LEVEL": "ERROR"
}
}
}
}
If you have problems with MCP configuration or want to check if the appropriate parameters are in place, you can try the following:
## Run MCP server manually with timeout 15s
$ timeout 15s uv tool run <MCP Name> <args> 2>&1 || echo "Command completed or timed out"
## Example (Aurora MySQL MCP Server)
$ timeout 15s uv tool run awslabs.mysql-mcp-server --resource_arn <Your Resource ARN> --secret_arn <Your Secret ARN> ... 2>&1 || echo "Command completed or timed out"
## If the arguments are not set appropriately, you may see the following message:
usage: awslabs.mysql-mcp-server [-h] --resource_arn RESOURCE_ARN --secret_arn SECRET_ARN --database DATABASE
--region REGION --readonly READONLY
awslabs.mysql-mcp-server: error: the following arguments are required: --resource_arn, --secret_arn, --database, --region, --readonly
Note about performance when using uvx "@latest" suffix:
Using the "@latest" suffix checks and downloads the latest MCP server package from pypi every time you start your MCP clients, but it comes with a cost of increased initial load times. If you want to minimize the initial load time, remove "@latest" and manage your uv cache yourself using one of these approaches:
uv cache clean <tool>: where {tool} is the mcp server you want to delete from cache and install again (e.g.: "awslabs.lambda-tool-mcp-server") (remember to remove the '<>').uvx <tool>@latest: this will refresh the tool with the latest version and add it to the uv cache.Docker images for each MCP server are published to the public AWS ECR registry.
This example uses docker with the "awslabs.aws-documentation-mcp-server and can be repeated for each MCP server
Optionally save sensitive environmental variables in a file:
# contents of a .env file with fictitious AWS temporary credentials
AWS_ACCESS_KEY_ID=ASIAIOSFODNN7EXAMPLE
AWS_SECRET_ACCESS_KEY=wJalrXUtnFEMI/K7MDENG/bPxRfiCYEXAMPLEKEY
AWS_SESSION_TOKEN=AQoEXAMPLEH4aoAH0gNCAPy...truncated...zrkuWJOgQs8IZZaIv2BXIa2R4Olgk
Use the docker options: --env, --env-file, and --volume as needed because the "env": {} are not available within the container.
{
"mcpServers": {
"awslabs.aws-documentation-mcp-server": {
"command": "docker",
"args": [
"run",
"--rm",
"--interactive",
"--env",
"FASTMCP_LOG_LEVEL=ERROR",
"--env",
"AWS_REGION=us-east-1",
"--env-file",
"/full/path/to/.env",
"--volume",
"/full/path/to/.aws:/app/.aws",
"public.ecr.aws/awslabs-mcp/awslabs/aws-documentation-mcp-server:latest"
],
"env": {}
}
}
}
For testing local changes you can build and tag the image. You have to update the MCP configuration to use this tag instead of the ECR image.
cd src/aws-documentation-mcp-server
docker build -t awslabs/aws-documentation-mcp-server .
See the Kiro IDE documentation or the Kiro CLI documentation for details.
In the Kiro IDE:
Kiro > MCP Servers+ Add button.For global configuration, edit ~/.kiro/settings/mcp.json. For project-specific configuration, edit .kiro/settings/mcp.json in your project directory.
~/.kiro/settings/mcp.jsonFor macOS/Linux:
{
"mcpServers": {
"awslabs-core-mcp-server": {
"command": "uvx",
"args": ["awslabs.core-mcp-server@latest"],
"env": {
"FASTMCP_LOG_LEVEL": "ERROR"
}
}
}
}
For Windows:
{
"mcpServers": {
"awslabs-core-mcp-server": {
"disabled": false,
"timeout": 60,
"type": "stdio",
"command": "uv",
"args": [
"tool",
"run",
"--from",
"awslabs.core-mcp-server@latest",
"awslabs.core-mcp-server.exe"
],
"env": {
"FASTMCP_LOG_LEVEL": "ERROR"
}
}
}
}
IMPORTANT: Following these instructions may incur costs and are subject to the Amazon Bedrock Pricing. You are responsible for any associated costs. In addition to selecting the desired model in the Cline settings, ensure you have your selected model (e.g. anthropic.claude-3-7-sonnet) also enabled in Amazon Bedrock. For more information on this, see these AWS docs on enabling model access to Amazon Bedrock Foundation Models (FMs).
Follow the steps above in the Installation and Setup section to install uv from Astral, install Python, and configure AWS credentials with the required services.
If using Visual Studio Code, install the Cline VS Code Extension (or equivalent extension for your preferred IDE). Once installed, click the extension to open it. When prompted, select the tier that you wish. In this case, we will be using Amazon Bedrock, so the free tier of Cline is fine as we will be sending requests using the Amazon Bedrock API instead of the Cline API.
cline_mcp_settings.json file.
cline_mcp_settings.json file, add your desired MCP servers in the mcpServers object. See the following example that will use some of the current MCP servers that are available in this repository. Ensure you save the file to install the MCP servers.cline_mcp_settings.jsonFor macOS/Linux:
{
"mcpServers": {
"awslabs-core-mcp-server": {
"command": "uvx",
"args": ["awslabs.core-mcp-server@latest"],
"env": {
"FASTMCP_LOG_LEVEL": "ERROR",
"MCP_SETTINGS_PATH": "path to your mcp settings file"
}
}
}
}
For Windows:
{
"mcpServers": {
"awslabs-core-mcp-server": {
"disabled": false,
"timeout": 60,
"type": "stdio",
"command": "uv",
"args": [
"tool",
"run",
"--from",
"awslabs.core-mcp-server@latest",
"awslabs.core-mcp-server.exe"
],
"env": {
"FASTMCP_LOG_LEVEL": "ERROR",
"MCP_SETTINGS_PATH": "path to your mcp settings file"
}
}
}
}
Model Context Protocol (MCP) is a new, standardized protocol for managing context between large language models (LLMs) and external systems. In this repository, you can find several MCP servers allowing you to connect to Cloudflare's service from an MCP client (e.g. Cursor, Claude) and use natural language to accomplish tasks through your Cloudflare account.
These MCP servers allow your MCP Client to read configurations from your account, process information, make suggestions based on data, and even make those suggested changes for you. All of these actions can happen across Cloudflare's many services including application development, security and performance.
| Finch MCP Server | Local container building with ECR integration | |
| |
| Amazon Q Business MCP Server ⚠️ DEPRECATED | AI assistant for your ingested content with anonymous access (Use the AWS MCP Server instead) | |
| Amazon Q Index MCP Server | Data accessors to search through enterprise's Q index | |
| AWS Bedrock Custom Model Import MCP Server | Manage custom models in Bedrock for on-demand inference | |
| AWS Bedrock AgentCore MCP Server | Provides comprehensive documentation access on AgentCore platform services, APIs, and best practices | |
| Amazon Translate MCP Server | Neural machine translation across 75+ languages with batch processing and custom terminology | |
| Amazon SageMaker AI MCP Server | SageMaker AI resource management and model development | |
| Registry of Open Data (RODA) MCP Server | Discover, explore, and preview open datasets on AWS | |
| Amazon Aurora MySQL MCP Server | MySQL database operations via RDS Data API | |
| Amazon Aurora DSQL MCP Server | Distributed SQL with PostgreSQL compatibility | |
| Amazon DocumentDB MCP Server | MongoDB-compatible document database operations | |
| Amazon Neptune MCP Server | Graph database queries with openCypher and Gremlin | |
| Amazon Keyspaces MCP Server | Apache Cassandra-compatible operations | |
| Amazon Timestream for InfluxDB MCP Server | Time-series database operations and InfluxDB compatibility | |
| AWS S3 Tables MCP Server | Manage S3 Tables for optimized analytics | |
| Amazon Redshift MCP Server | Data warehouse operations and analytics queries | |
| Amazon RDS Oracle MCP Server | Oracle Database operations via Secrets Manager authentication | |
| Amazon RDS for Db2 MCP Server | Amazon RDS for Db2 operations via Secrets Manager authentication | |
| AWS IoT SiteWise MCP Server | Industrial IoT asset management, data ingestion, and analytics | |
| Amazon RDS MSSQL MCP Server | SQL Server database operations via RDS Data API | |
| Amazon ElastiCache for Memcached MCP Server | High-speed caching with Memcached protocol | |
| AWS Step Functions Tool MCP Server | Execute complex workflows and business processes | |
| Amazon Location Service MCP Server | Place search, geocoding, and route optimization | |
| OpenAPI MCP Server | Dynamic API integration through OpenAPI specifications | |
| AWS Managed Prometheus MCP Server | Prometheus-compatible operations | |
| AWS Billing and Cost Management MCP Server | Billing and cost management for chargeable and Proforma billing | |
| AWS HealthLake MCP Server | Create, manage, search, and optimize FHIR healthcare data workflows with comprehensive AWS HealthLake integration, featuring automated resource discovery, advanced search capabilities, patient record management, and seamless import/export operations. | |
| Registry of Open Data (RODA) MCP Server | Discover, explore, and preview open datasets on AWS | |
| AWS Documentation MCP Server | Get latest AWS docs and API references | |
| Amazon ECS MCP Server | Containerize and deploy applications to ECS | |
| Finch MCP Server | Local container building with ECR push | |
| AWS Serverless MCP Server | Full serverless app lifecycle with SAM CLI | |
| |
| Amazon Q Business MCP Server ⚠️ DEPRECATED | AI assistant for your ingested content with anonymous access (Use the AWS MCP Server instead) | |
| Amazon Q Index MCP Server | Data accessors to search through enterprise's Q index | |
| AWS Documentation MCP Server | Get latest AWS docs and API references | |
| Amazon Aurora PostgreSQL MCP Server | PostgreSQL database operations via RDS Data API | |
| Amazon Aurora MySQL MCP Server | MySQL database operations via RDS Data API | |
| Amazon Aurora DSQL MCP Server | Distributed SQL with PostgreSQL compatibility | |
| Amazon DocumentDB MCP Server | MongoDB-compatible document database operations | |
| Amazon Neptune MCP Server | Graph database queries with openCypher and Gremlin | |
| Amazon Keyspaces MCP Server | Apache Cassandra-compatible operations | |
| Amazon Timestream for InfluxDB MCP Server | Time-series database operations and InfluxDB compatibility | |
| Amazon RDS MSSQL MCP Server | SQL Server database operations via RDS Data API | |
| Execute complex workflows and business processes |
| |
| Amazon SNS/SQS MCP Server | Event-driven messaging and queue management | |
| Amazon MQ MCP Server | Message broker management for RabbitMQ and ActiveMQ | |
| AWS Managed Prometheus MCP Server | Prometheus-compatible operations and monitoring | |
| AWS Security Agent MCP Server | Automated security scanning, penetration testing, and remediation using AWS Security Agent |
| AWS Well-Architected Security Assessment Tool MCP Server | Assess AWS environments against the Well-Architected Framework Security Pillar | |
| AWS CloudTrail MCP Server | CloudTrail events querying and analysis |  |
| AWS Systems Manager for SAP MCP Server | Manage, monitor, and operate SAP applications on AWS with health checks, configuration validation, and scheduling | |
By default, Cline will be set as the API provider, which has limits for the free tier. Next, let's update the API provider to be AWS Bedrock, so we can use the LLMs through Bedrock, which would have billing go through your connected AWS account.
Click the settings gear to open up the Cline settings. Then under API Provider, switch this from Cline to AWS Bedrock and select AWS Profile for the authentication type. As a note, the AWS Credentials option works as well, however it uses a static credentials (Access Key ID and Secret Access Key) instead of temporary credentials that are automatically redistributed when the token expires, so the temporary credentials with an AWS Profile is the more secure and recommended method.
Every server in this repository exposes a stateless Streamable HTTP handler at /mcp through a fresh SDK v2 server factory. The retired /sse URL answers every request with a 410 Gone Problem Details response that names the /mcp URL; MCP clients show its message in their connection error. Modern 2026 requests and stateless 2025 requests share the same request-scoped implementation without an MCP protocol session. OAuth, credentials, account selection, application caches, and product Durable Objects remain application/security state where required.
Cloudflare offers the following MCP servers. The domain-specific servers are included in this repository, while the recommended Cloudflare API MCP Server is maintained in cloudflare/mcp:
| Server Name | Description | Server URL |
|---|---|---|
| Cloudflare API MCP Server (recommended) | Best when you want broad access across Cloudflare's APIs through code execution | https://mcp.cloudflare.com/mcp |
| Documentation server | Get up-to-date reference information on Cloudflare | https://docs.mcp.cloudflare.com/mcp |
| Container server | Spin up a sandbox development environment | https://containers.mcp.cloudflare.com/mcp |
| Browser Run server | Fetch web pages, convert them to markdown and take screenshots | https://browser.mcp.cloudflare.com/mcp |
| Digital Experience Monitoring server | Get quick insight on critical applications for your organization | https://dex.mcp.cloudflare.com/mcp |
| Cloudflare One CASB server | Quickly identify any security misconfigurations for SaaS applications to safeguard users & data | https://casb.mcp.cloudflare.com/mcp |
| Cloudflare Blog server | Search and read posts from the Cloudflare Blog | https://blog.mcp.cloudflare.com/mcp |
| Demo Day server | Demonstrate a minimal Cloudflare MCP server | https://demo-day.mcp.cloudflare.com/mcp |
Please migrate to the Cloudflare API MCP Server at your earliest convenience.
| Server Name | Description | Server URL |
|---|---|---|
| AI Gateway server | Search your logs, get details about the prompts and responses | https://ai-gateway.mcp.cloudflare.com/mcp |
| Audit Logs server | Query audit logs and generate reports for review | https://auditlogs.mcp.cloudflare.com/mcp |
| AutoRAG server | Search and query account AutoRAG instances | https://autorag.mcp.cloudflare.com/mcp |
| DNS Analytics server | Optimize DNS performance and debug issues based on current setup | https://dns-analytics.mcp.cloudflare.com/mcp |
| GraphQL server | Get analytics data using Cloudflare's GraphQL API | https://graphql.mcp.cloudflare.com/mcp |
| Logpush server | Get quick summaries for Logpush job health | https://logs.mcp.cloudflare.com/mcp |
| Observability server | Debug and get insight into your application's logs and analytics | https://observability.mcp.cloudflare.com/mcp |
| Radar server | Explore Cloudflare Radar internet insights | https://radar.mcp.cloudflare.com/mcp |
| Workers Bindings server | Build Workers applications with storage, AI, and compute primitives | https://bindings.mcp.cloudflare.com/mcp |
| Workers Builds server | Get insights and manage your Cloudflare Workers Builds | https://builds.mcp.cloudflare.com/mcp |
Cloudflare provides two categories of MCP servers:
mcp.cloudflare.com) in cloudflare/mcp:*.mcp.cloudflare.com) in this repository:Use the Cloudflare API MCP Server when:
Use the domain-specific servers in this repository when:
Learn more about the Cloudflare API MCP Server here: cloudflare/mcp.
Connect any MCP client with remote-server support directly to a URL in the table above. Cloudflare AI Playground also accepts server URLs in its interface.
To use one of Cloudflare's MCP servers with OpenAI's responses API, you will need to provide the Responses API with an API token that has the scopes (permissions) required for that particular MCP server.
For example, to use the Browser Run MCP server with OpenAI, create an API token in the Cloudflare dashboard here, with the following permissions:
We're continuing to add more functionality to this remote MCP server repo. If you'd like to leave feedback, file a bug or provide a feature request, please open an issue on this repository
"Claude's response was interrupted ... "
If you see this message, Claude likely hit its context-length limit and stopped mid-reply. This happens most often on servers that trigger many chained tool calls such as the observability server.
To reduce the chance of running in to this issue:
Some features may require a paid Cloudflare Workers plan. Ensure your Cloudflare account has the necessary subscription level for the features you intend to use.
Interested in contributing, and running this server locally? See CONTRIBUTING.md to get started.