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Best AWS MCP Servers

Ranking updated Jul 13, 2026

For an AWS MCP server for Claude Desktop, the first results are modelcontextprotocol/servers (This repository serves as the official collection of reference implementations for the Model Context Protocol, including specific servers for AWS integration that provide the requested tool execution and resource discovery capabilities), boto/boto (This is a foundational Python SDK for interacting with AWS services, but it is a building block for developers rather than a pre-built Model Context Protocol server that provides ready-to-use tools and resources for AI assistants) and aws/aws-sdk-java (This is a low-level SDK for interacting with AWS services via Java, which serves as a building block for developers to build an MCP server but does not provide the Model Context Protocol interface or tool-execution capabilities itself). developersdigest/llm-answer-engine and aws/aws-sdk-go round out the shortlist. Compare the match explanations and check the project documentation against your requirements.

We curate open-source GitHub repositories matching “best aws mcp servers”. Results are ranked by relevance to your query — pick filters below to narrow, or refine with AI.

Best AWS MCP Servers

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  • modelcontextprotocol/serversmodelcontextprotocol avatar

    modelcontextprotocol/servers

    87,320View on GitHub↗

    The Model Context Protocol is a standardized communication framework designed to connect language models to external data sources, functional tools, and interactive user interfaces. It provides a vendor-neutral interface layer that enables AI hosts to discover and execute capabilities across heterogeneous service environments, using a JSON-RPC based messaging standard to facilitate bidirectional communication between clients and servers. The protocol distinguishes itself through a robust capability-based handshake that negotiates feature sets during session initialization, ensuring compatibil

    This repository serves as the official collection of reference implementations for the Model Context Protocol, including specific servers for AWS integration that provide the requested tool execution and resource discovery capabilities.

    TypeScriptAI Agent Tool Integrations
    View on GitHub↗87,320
  • boto/botoboto avatar

    boto/boto

    6,430View on GitHub↗

    Boto is a Python SDK and API wrapper for Amazon Web Services. It serves as a programmatic interface for managing and automating cloud infrastructure, mapping cloud-side resources to native Python objects and methods. The library provides tools for the programmatic control and orchestration of compute, storage, networking, and database resources. It enables the automation of infrastructure deployments and the management of virtual servers, container services, and serverless functions. Capability areas include identity and access management, cloud monitoring and observability, and the administ

    This is a foundational Python SDK for interacting with AWS services, but it is a building block for developers rather than a pre-built Model Context Protocol server that provides ready-to-use tools and resources for AI assistants.

    PythonAWS Credential ManagementAWS API ClientsAWS API Integrations
    View on GitHub↗6,430
  • aws/aws-sdk-javaaws avatar

    aws/aws-sdk-java

    4,194View on GitHub↗

    The AWS Java SDK is a programmatic interface and client library for managing and interacting with AWS cloud infrastructure and services using the Java language. It serves as an API wrapper that connects applications to cloud storage, databases, and compute resources through a standardized set of Java classes. The library provides a non-blocking I/O model and future-based request handling to support high-throughput asynchronous cloud operations. It includes mechanisms for serverless performance optimization to reduce initial startup times and cold starts in those environments. The SDK manages

    This is a low-level SDK for interacting with AWS services via Java, which serves as a building block for developers to build an MCP server but does not provide the Model Context Protocol interface or tool-execution capabilities itself.

    JavaAWS Credential ManagementAWS API IntegrationsAWS SDKs
    View on GitHub↗4,194
  • developersdigest/llm-answer-enginedevelopersdigest avatar

    developersdigest/llm-answer-engine

    5,026View on GitHub↗

    This project is an AI tool-calling gateway and RAG orchestration framework designed to ground large language model responses in verified context. It functions as a local inference server for running text generation and embedding models on-premise to ensure data privacy and reduce dependencies on external cloud services. The system operates as a rate-limited AI API, providing a decoupled backend that can be deployed as a standalone application programming interface with built-in request throttling to prevent service abuse. It implements retrieval augmented generation workflows by combining mo

    This project is an AI orchestration and local inference framework rather than an MCP server, meaning it lacks the specific protocol implementation required to integrate AWS services into an MCP-compatible AI assistant.

    TypeScriptLLM Tool CallingAI Agent Tool Integrations
    View on GitHub↗5,026
  • aws/aws-sdk-goaws avatar

    aws/aws-sdk-go

    8,687View on GitHub↗

    The AWS SDK for Go is a software development kit and cloud infrastructure library used to programmatically interact with AWS cloud services. It provides a programmatic interface for authenticating requests, executing operations against regional endpoints, and automating the creation and management of cloud resources. The toolkit utilizes model-driven code generation to create service clients and employs a session-based configuration system to share credentials and global settings across those clients. It implements signature-based request authentication to verify identity and integrity throug

    This is a software development kit for interacting with AWS services, which serves as a foundational building block for developers to build an MCP server but does not itself implement the Model Context Protocol.

    GoAWS API ClientsAWS API Integrations
    View on GitHub↗8,687
  • composiohq/open-claude-coworkComposioHQ avatar

    ComposioHQ/open-claude-cowork

    3,076View on GitHub↗

    Open-claude-cowork is an LLM agent workflow orchestrator and multi-agent collaborative workspace. It serves as a SaaS tool integration framework and a real-time AI chat interface designed to connect large language models with external software applications and browser tools to automate complex business processes. The platform functions as a headless browser automation tool, enabling AI agents to navigate websites and interact with web-based interfaces automatically. It allows for the creation of shared environments where multiple agents coordinate using external tools and shared memory to com

    This repository is an agentic workflow orchestrator and browser automation platform rather than a dedicated Model Context Protocol server designed to expose AWS services as tools for AI assistants.

    JavaScriptLLM Tool CallingAI Agent Tool Integrations
    View on GitHub↗3,076
  • aws/aws-sdk-phpaws avatar

    aws/aws-sdk-php

    6,191View on GitHub↗

    The AWS SDK for PHP is a software development kit that provides HTTP client classes for every supported Amazon Web Service, enabling PHP applications to send authenticated requests and receive structured, typed response objects. It includes a credential resolution chain that automatically locates credentials from environment variables, instance profiles, or configuration files, and supports promise-based asynchronous execution for running multiple API calls concurrently to improve throughput. The SDK distinguishes itself through a middleware pipeline architecture that allows interception and

    This is a software development kit for building applications that interact with AWS, rather than a pre-built Model Context Protocol server that exposes AWS services as tools for AI assistants.

    PHPAWS Credential ManagementAWS API ClientsAWS Authentication Strategies
    View on GitHub↗6,191
  • donnemartin/sawsdonnemartin avatar

    donnemartin/saws

    5,307View on GitHub↗

    Saws is an interactive shell wrapper and resource manager for the AWS CLI. It provides a command-line environment designed to enhance the execution of AWS commands through predictive text, resource suggestions, and improved navigation. The tool implements fuzzy searching and case-insensitive autocomplete to accelerate the discovery and selection of cloud resources. It reduces manual entry via a system of command shortcuts and aliases that map short strings to complex commands. The interface includes local caching of resource data to minimize API requests, persistent command history, and the

    This is an interactive CLI wrapper for the AWS CLI rather than a Model Context Protocol server, meaning it lacks the standardized interface required to expose AWS tools and resources to AI assistants.

    PythonAWS Resource Navigators
    View on GitHub↗5,307
  • google-ai-edge/gallerygoogle-ai-edge avatar

    google-ai-edge/gallery

    15,162View on GitHub↗

    This project is a development framework for building edge-based AI agents that perform multimodal inference and system-level automation directly on mobile devices. By prioritizing local-first execution, the platform ensures data privacy and offline functionality, allowing developers to run large language models on hardware without requiring external server connectivity. The framework distinguishes itself through an integrated orchestration layer that connects language models to custom tools, scripts, and native device intents. It provides a structured registry for mapping natural language ins

    This project is a framework for building edge-based AI agents on mobile devices rather than an MCP server designed to provide AWS service integrations for AI assistants.

    KotlinLLM Tool CallingAI Agent Tool Integrations
    View on GitHub↗15,162
  • shishirpatil/gorillaShishirPatil avatar

    ShishirPatil/gorilla

    12,908View on GitHub↗

    Gorilla is a foundational infrastructure framework for large language model function calling. It provides a system for training, evaluating, and executing the translation of natural language instructions into accurate API calls and executable code. The project integrates a structured API documentation index, a fine-tuning pipeline for model adaptation, and a secure sandboxed action runtime for executing model-generated commands. The framework distinguishes itself through a specialized evaluation benchmark suite that measures the accuracy, cost, and latency of function calls. It includes tools

    This is a framework for training and evaluating LLM function calling rather than an MCP server implementation designed to provide specific AWS service integrations for AI assistants.

    PythonLLM Tool Calling
    View on GitHub↗12,908
  • 99designs/aws-vault99designs avatar

    99designs/aws-vault

    8,977View on GitHub↗

    aws-vault is a secure credential manager and command-line wrapper for AWS. It stores long-term identity keys using the native operating system secure keystore to prevent plaintext secrets from residing on disk. The tool orchestrates the exchange of long-term credentials for short-lived temporary sessions by assuming IAM roles, with support for multi-factor authentication and integration with AWS Identity Center for single sign-on access. It prevents credential exposure by injecting these temporary tokens directly into subprocesses or by simulating local metadata endpoints for software develop

    This is a command-line utility for managing AWS credentials and IAM sessions, not a Model Context Protocol server designed to expose AWS resources and tools to AI assistants.

    GoAWS Credential Management
    View on GitHub↗8,977
  • andrewyng/aisuiteandrewyng avatar

    andrewyng/aisuite

    14,692View on GitHub↗

    This project is a framework for managing generative AI services through a unified provider interface and adapter layer. It provides a standardized API for calling multiple cloud-based and locally hosted models, translating provider-specific parameters and responses into a uniform format. The system includes an agent orchestrator designed for long-running tasks, featuring state persistence for resuming runs and execution tracing to monitor decision-making processes. It integrates the Model Context Protocol to connect models to external servers and filesystems and employs a policy-based executi

    This project is an AI agent orchestration framework and provider adapter layer rather than an MCP server designed to expose AWS services as tools for AI assistants.

    PythonAI Tool Execution
    View on GitHub↗14,692
Compare the top 10 at a glance
RepositoryStarsLanguageLicenseLast push
modelcontextprotocol/servers87.3KTypeScriptNOASSERTIONJun 7, 2026
boto/boto6.4KPythonNOASSERTIONJan 12, 2024
aws/aws-sdk-java
4.2K
Java
Apache-2.0
Apr 6, 2026
developersdigest/llm-answer-engine5KTypeScriptMITApr 29, 2026
aws/aws-sdk-go8.7KGoApache-2.0Jul 31, 2025
composiohq/open-claude-cowork3.1KJavaScriptmitJan 29, 2026
aws/aws-sdk-php6.2KPHPApache-2.0Jun 16, 2026
donnemartin/saws5.3KPythonNOASSERTIONApr 2, 2024
google-ai-edge/gallery15.2KKotlinapache-2.0Feb 18, 2026
shishirpatil/gorilla12.9KPythonApache-2.0Apr 13, 2026

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