developer-tools

AWS Lambda Powertools Documentation Search

aws-powertools

by aws-powertools

AWS Lambda Powertools Documentation Search lets AI quickly find and cache docs for multiple runtimes via a fast TypeScri

Enables AI to search and retrieve AWS Lambda Powertools documentation across multiple runtimes through a TypeScript server with efficient local search capabilities and content caching.

github stars

41

0 commentsdiscussion

Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.

Local search with cachingMulti-runtime supportNo API key needed

best for

  • / Serverless developers using AWS Lambda
  • / Learning Powertools best practices
  • / Building AI agents that need AWS documentation context

capabilities

  • / Search Powertools documentation by keywords
  • / Fetch complete documentation pages as markdown
  • / Browse examples across multiple AWS Lambda runtimes
  • / Cache documentation content locally

what it does

Search and retrieve AWS Lambda Powertools documentation across multiple runtimes locally. Helps AI agents quickly find toolkit information and examples.

about

AWS Lambda Powertools Documentation Search is a community-built MCP server published by aws-powertools that provides AI assistants with tools and capabilities via the Model Context Protocol. AWS Lambda Powertools Documentation Search lets AI quickly find and cache docs for multiple runtimes via a fast TypeScri It is categorized under developer tools. This server exposes 2 tools that AI clients can invoke during conversations and coding sessions.

how to install

You can install AWS Lambda Powertools Documentation Search in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.

license

NOASSERTION

AWS Lambda Powertools Documentation Search is released under the NOASSERTION license.

readme

Powertools for AWS MCP

NodeSupport GitHub Release OpenSSF Scorecard Status Stability Discord

The Powertools for AWS Model Context Protocol (MCP) is an MCP implementation that provides search functionality for the Powertools for AWS Lambda documentation across multiple runtimes. It allows your LLM agents to search for documentation and examples related to the toolkit, helping you to quickly find the information you need to use Powertools for AWS Lambda effectively.

[!WARNING] This project is experimental and under active development. APIs and features may change frequently without notice.

💡 Get Involved

We're actively seeking community feedback and feature suggestions join our Discord or open an issue to share your thoughts.

Use Cases

  • Bring documentation and examples directly into your LLM agents' context.
  • Search for specific topics or keywords within the Powertools for AWS documentation.
  • Help your agents understand how to use the Powertools for AWS Lambda toolkit effectively.

Getting Started

CursorVS Code
Install MCP ServerInstall on VS Code

Most clients that support MCP can use this server out of the box using a configuration similar to the following:

[!NOTE] If you are using an older version of the MCP, make sure to update your configuration to use the new package name powertools-for-aws-mcp.

{
  "mcpServers": {
    "powertools": {
      "command": "npx",
      "args": ["-y", "powertools-for-aws-mcp"]
    }
  }
}

This setup uses the Node.js package manager to run the MCP server locally and communicate with it using the STDIO interface.

Client-Specific Setup Instructions

For detailed setup instructions for specific clients, see the configurations below:

Getting Started with Amazon Q Developer CLI

<details> <summary>Use in Amazon Q Developer CLI</summary>

See Amazon Q Developer CLI documentation for details.

Add MCP Server using CLI commands:

qchat mcp add --name powertools --command "npx -y powertools-for-aws-mcp"

Manual Configuration: If you select global scope, the MCP server configuration is stored in ~/.aws/amazonq/mcp.json and available across all your projects. If you select local scope, the configuration is stored in .amazonq/mcp.json within your current project.

~/.aws/amazonq/mcp.json

{
  "mcpServers": {
    "powertools": {
      "command": "npx",
      "args": ["-y", "powertools-for-aws-mcp"]
    }
  }
}
</details>

Getting Started with Kiro

<details> <summary>Use in Kiro</summary>

See Kiro Model Context Protocol Documentation for details.

  1. Navigate to Kiro > MCP Servers
  2. Add a new MCP server by selecting the + Add button.
  3. Paste the configuration given below:

kiro_mcp_settings.json

For macOS/Linux:

{
  "mcpServers": {
    "powertools": {
      "command": "npx",
      "args": ["-y", "powertools-for-aws-mcp"]
    }
  }
}

For Windows:

{
  "mcpServers": {
    "powertools": {
      "disabled": false,
      "timeout": 60,
      "type": "stdio",
      "command": "npx",
      "args": ["-y", "powertools-for-aws-mcp"]
    }
  }
}
</details>

Getting Started with Cursor

<details> <summary>Getting Started with Cursor</summary>
  1. You can place MCP configuration in two locations, depending on your use case:

A. Project Configuration - For tools specific to a project, create a .cursor/mcp.json file in your project directory. - This allows you to define MCP servers that are only available within that specific project.

B. Global Configuration - For tools that you want to use across all projects, create a ~/.cursor/mcp.json file in your home directory. - This makes MCP servers available in all your Cursor workspaces.

.cursor/mcp.json

{
  "mcpServers": {
    "powertools": {
      "command": "npx",
      "args": ["-y", "powertools-for-aws-mcp"]
    }
  }
}
  1. Using MCP in Chat: The Composer Agent will automatically use any MCP tools that are listed under Available Tools on the MCP settings page if it determines them to be relevant. To prompt tool usage intentionally, please prompt Cursor to use the desired MCP Server you wish to use. For example, Using the Powertools MCP Server, do...

  2. Tool Approval: By default, when the Agent wants to use an MCP tool, it will display a message asking for your approval. You can use the arrow next to the tool name to expand the message and see what arguments the Agent is calling the tool with.

</details>

Getting Started with Windsurf

<details> <summary>Getting Started with Windsurf</summary>
  1. Access MCP Settings

    • Navigate to Windsurf - Settings > Advanced Settings or use the Command Palette > Open Windsurf Settings Page
    • Look for the "Model Context Protocol (MCP) Servers" section
  2. Add MCP Servers

    • Select "Add Server" to add a new MCP server
    • You can choose from available templates like GitHub, Puppeteer, PostgreSQL, etc.
    • Alternatively, select "Add custom server" to configure your own server
  3. Manual Configuration

    • You can also manually edit the MCP configuration file located at ~/.codeium/windsurf/mcp_config.json

~/.codeium/windsurf/mcp_config.json

{
  "mcpServers": {
    "powertools": {
      "command": "npx",
      "args": ["-y", "powertools-for-aws-mcp"]
    }
  }
}
</details>

Getting Started with VS Code

<details> <summary>Install in VS Code</summary>

Configure MCP servers in VS Code settings or in .vscode/mcp.json (see VS Code MCP docs for more info.):

.vscode/mcp.json

{
  "mcpServers": {
    "powertools": {
      "command": "npx",
      "args": ["-y", "powertools-for-aws-mcp"]
    }
  }
}
</details>

Getting Started with Claude Code

<details> <summary>Use in Claude Code</summary>

Add MCP Server using CLI commands:

claude mcp add powertools

Manual Configuration (Recommended): You can directly edit the configuration file located at ~/.claude.json. This approach is more flexible and allows you to see all configurations at once.

~/.claude.json

{
  "mcpServers": {
    "powertools": {
      "type": "stdio",
      "command": "npx",
      "args": ["-y", "powertools-for-aws-mcp"]
    }
  }
}

Restart Claude Code: After editing the config file, restart Claude Code for the changes to take effect.

</details>

Development

After cloning the repository, you can set up your development environment by running:

npm ci
npm run setup:hooks

After that you can run tests using npm t or npm run test:unit:coverage for coverage reports.

You can also run the server locally using: npm run dev, this will start an inspector server that lets you interact with the MCP server using a browser UI.

If you want, you can also configure the server to run with Amazon Q, Claude Desktop, or other LLM clients that support the Model Context Protocol (MCP) by using node as command and passing the --experimental-transform-types flag and the path to the src/index.ts file of this project.

For example, with Claude Code, you can add the server by running:

claude mcp add pt-dev node -- --experimental-transform-types /path/to/project/powertools-mcp/src/index.ts

Credits

Michael Walmsley at [ServerlessDNA.com](https:/


FAQ

What is the AWS Lambda Powertools Documentation Search MCP server?
AWS Lambda Powertools Documentation Search is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for AWS Lambda Powertools Documentation Search?
This profile displays 75 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.6 out of 5—verify behavior in your own environment before production use.

Use Cases

Extended AI Capabilities

Add new capabilities to Claude beyond text generation

Example

Access external data sources, execute code, interact with tools and services

Transform Claude from chatbot to action-taking agent

Context Enhancement

Provide Claude with access to relevant context and data

Example

Load project documentation, access knowledge bases, query databases

Get more accurate, context-aware responses

Workflow Automation

Automate multi-step workflows combining AI and external tools

Example

Research → Summarize → Create document → Send notification

Complete complex tasks end-to-end without manual steps

Implementation Guide

Prerequisites

  • Claude Desktop 0.7.0+ or Cursor IDE with MCP support
  • Basic understanding of MCP architecture and capabilities
  • Access credentials for integrated services (if required)
  • Willingness to experiment and iterate on configuration

Time Estimate

15-60 minutes depending on server complexity

Installation Steps

  1. 1.Install MCP server: npm install -g [package-name] or via GitHub
  2. 2.Add server configuration to ~/.claude/mcp.json
  3. 3.Provide required credentials and configuration
  4. 4.Restart Claude Desktop to load new server
  5. 5.Test basic functionality with simple prompts
  6. 6.Explore capabilities and experiment with use cases
  7. 7.Document successful patterns for reuse

Troubleshooting

  • MCP server not loading: Check config syntax, verify installation
  • Connection errors: Check network, firewall, credentials
  • Feature not working: Read server docs, check required parameters
  • Performance issues: Monitor resource usage, check for network latency
  • Conflicts with other servers: Check port assignments, namespace collisions

Best Practices

✓ Do

  • +Read server documentation thoroughly before setup
  • +Start with simple use cases to validate functionality
  • +Test in non-production environment first
  • +Monitor resource usage and performance
  • +Keep servers updated for bug fixes and new features
  • +Document configuration for team members
  • +Use environment variables for sensitive configuration

✗ Don't

  • Don't grant overly permissive access to MCP servers
  • Don't skip reading security considerations in docs
  • Don't expose sensitive data without proper controls
  • Don't run untrusted MCP servers without code review
  • Don't ignore error messages—investigate root cause

💡 Pro Tips

  • Combine multiple MCP servers for powerful workflows
  • Create custom MCP servers for your specific needs
  • Share successful configurations with team
  • Use MCP inspector for debugging
  • Join MCP community for tips and troubleshooting

Technical Details

Architecture

Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.

Protocols

  • Model Context Protocol (MCP)
  • JSON-RPC 2.0
  • stdio or HTTP transport

Compatibility

  • Claude Desktop
  • Cursor IDE
  • Custom MCP clients

When to Use This

✓ Use When

Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.

✗ Avoid When

Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.

Integration

  • Tool composition: Chain multiple MCP tools in workflows
  • Context augmentation: Provide AI with relevant external data
  • Action delegation: Let AI execute tasks on external systems
  • Bidirectional sync: Keep AI context and external systems in sync

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.

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Ratings

4.675 reviews
  • Harper Smith· Dec 24, 2024

    I recommend AWS Lambda Powertools Documentation Search for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • Mei Chen· Dec 24, 2024

    We wired AWS Lambda Powertools Documentation Search into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • Jin Haddad· Dec 16, 2024

    Useful MCP listing: AWS Lambda Powertools Documentation Search is the kind of server we cite when onboarding engineers to host + tool permissions.

  • Mei Martin· Dec 16, 2024

    AWS Lambda Powertools Documentation Search is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

  • Ganesh Mohane· Dec 12, 2024

    AWS Lambda Powertools Documentation Search reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

  • Advait Patel· Dec 12, 2024

    AWS Lambda Powertools Documentation Search is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

  • Ava Desai· Dec 8, 2024

    According to our notes, AWS Lambda Powertools Documentation Search benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • Diego Li· Nov 23, 2024

    AWS Lambda Powertools Documentation Search has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

  • William Malhotra· Nov 15, 2024

    AWS Lambda Powertools Documentation Search has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

  • Harper Martinez· Nov 15, 2024

    AWS Lambda Powertools Documentation Search reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

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