Powertools for AWS MCP

by Amazon Web Services

用于 AWS Lambda MCP 服务器的 Powertools,提供跨多种运行时的 Powertools for AWS Lambda 文档搜索功能。它允许大型语言模型(LLM)代理搜索与工具包相关的文档和示例。

Developer toolsstdio or Streamable HTTPCommunity

Repository-wide counts · Cached 2026-03-07

Overview

The Powertools for AWS MCP MCP server is a publicly available project. Review the upstream repository for installation instructions, supported tools, compatibility, permissions, and current maintenance status.

Configuration

Configuration, transport, authentication, and runtime requirements vary by project. Open the repository before connecting and use the smallest set of credentials and permissions required.

Open the Powertools for AWS MCP repository to read the latest documentation.

KEEP EXPLORING

Compare source, connection, and authentication details before choosing an implementation.

View the complete category

模型上下文协议服务器

modelcontextprotocol

Community

一组用于模型上下文协议(MCP)的参考实现,展示了对大型语言模型(LLM)工具和数据源的安全且受控的访问方式。

Context7 Platform - Up-to-date Code Docs For Any Prompt

upstash

Community

Context7 MCP server providing up-to-date, version-specific documentation and code examples for libraries, enabling coding agents to fetch accurate docs and code snippets. Requires an API key for higher rate limits, passed via CONTEXT7_API_KEY header.

Playwright MCP

Microsoft Corporation

Community

A Model Context Protocol (MCP) server that provides browser automation capabilities using Playwright. Enables LLMs to interact with web pages through structured accessibility snapshots, bypassing the need for screenshots or visually-tuned models.

AIHawk

feder-cr

Community

AIHawk is an anti detect browser and web browsing agent, open source, with an MCP server for coding agents: undetected, no captchas, no blocks. It requires an OpenRouter API key for the standalone web UI mode, which can be provided via the --openrouter-key flag or the OPENROUTER_API_KEY environment variable or a .env file in the running directory.

FROM THE SOURCE

Repository README

Build-time snapshot · Retrieved 2026-10-05

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Powertools for AWS MCP

[!NOTE] This project is now in maintenance mode and will be deprecated on June 30, 2026. After that date, this package will no longer receive updates or security fixes. See Alternatives below for recommended migration paths.

NodeSupport GitHub Release OpenSSF Scorecard

The Powertools for AWS Model Context Protocol (MCP) server provides search and documentation retrieval for the Powertools for AWS Lambda toolkit across Python, TypeScript, Java, and .NET runtimes. It allows LLM agents to search for documentation and examples, helping you quickly find the information you need to use Powertools for AWS Lambda effectively.

Alternatives

Powertools for AWS publishes machine-readable documentation (llms.txt) for every runtime. These files give AI agents an authoritative, always up-to-date index of the full documentation — no MCP server required.

Combined with a custom agent skill, your coding agent can automatically detect which runtime you're working in, fetch the relevant documentation, and apply Powertools patterns — all without running or maintaining a local MCP server.

This approach is lighter weight, works with any agent that supports web fetching, and always reflects the latest published documentation.

See the sample skill to get started.

Alternative: AWS Knowledge MCP Server

For teams that prefer consuming documentation via MCP, the AWS Knowledge MCP Server is a fully managed remote MCP server that provides up-to-date AWS documentation — including Powertools for AWS. It requires no local setup; just point your MCP client to the remote endpoint:

https://knowledge-mcp.global.api.aws

This server also covers broader AWS documentation, best practices, architectural guidance, and agent skills beyond Powertools.

Acknowledgments

This project would not have been possible without the contributions of the community.

Special thanks to Michael Walmsley (ServerlessDNA.com) for creating the initial implementation and generously donating it to the Powertools for AWS team at Amazon Web Services. Thanks also to all contributors who helped shape, test, and improve this project over time.

License

This library is licensed under the MIT License. See the LICENSE file.