"AWS Agent for Interacting with Multiple AWS Services" matching MCP servers:

A Model Context Protocol (MCP) server that enables AI assistants like Claude to interact with your AWS environment. This allows for natural language querying and management of your AWS resources during conversations. Think of better Amazon Q alternative.

Run SQL queries with AWS Athena to access data available from AWS Glue catalog.

Enables searching and reading AWS knowledge from sources the official AWS Knowledge MCP Server does not index, including re:Post community Q&A, kiro.dev documentation, and AWS Builder Center posts.

Enables access to AWS documentation through natural language by fetching and converting documentation pages to markdown, searching AWS docs, and getting content recommendations for AWS service documentation.

A Model Context Protocol (MCP) server that enables searching AWS Black Belt Online Seminars and retrieving their transcripts.

A read-only MCP server for investigating Amazon OpenSearch Service domains using natural language, with tools for cluster health, index management, search, and diagnostics, secured by allowed profiles and regions.

A Firecrawl MCP server with built-in support for multiple API key rotation, enabling web search, scraping, crawling, extraction, and more via MCP clients.

Provides AWS service recommendations based on use case descriptions and allows browsing AWS services organized by categories. Helps users discover the most suitable AWS services for their specific technical requirements.

Enables interaction with Adobe Commerce Catalog Services to retrieve product variants, price overrides, category permissions, and environment details via MCP.

Enables LLMs to search through AWS Lambda Powertools documentation across multiple runtimes (Python, TypeScript, Java, .NET) using a Model Context Protocol server.

Enables comprehensive search and browsing of Berlin city services. Also supports PDF form discovery, analysis, and filling with resilient caching.

This MCP server enables any MCP client to perform web searches over HTTP using just an endpoint URL and API key, abstracting away AWS SigV4 signing and Bedrock AgentCore protocol translation entirely server-side.

Enables AI agents to search and retrieve Israel's social services data, including service details, taxonomy, and location-based queries.

Enables searching AWS Amplify documentation using natural language queries with advanced search syntax, smart ranking, and generation selection.

A Multi-Agent Conversation Protocol Server that provides access to Google's Local Services API, enabling interaction with local service businesses information through natural language commands.

Enables location-based services such as geocoding, reverse geocoding, finding nearby places, directions, elevation, and basemap tiles using ArcGIS Location Services.

Enables AI models to access IBM FileNet Content Manager capabilities including document management, property extraction, legal holds, and AI-powered document insight through standardized MCP interfaces.

Provides retrieval-augmented generation (RAG) capabilities by ingesting various document formats into a persistent ChromaDB vector store. It enables semantic search and retrieval using either OpenAI or Ollama embeddings for processing local files, directories, and URLs.

A Multi-Agent Conversation Protocol Server that provides a natural language interface to the U.S. Department of Health & Human Services (HHS) Media Services API, allowing users to access health-related data and media resources through conversational AI.

Odds are, most of what you want to build is already open source. Tell your AI agent what you're making, and it finds it: which repos to use as they are, which to adapt, and what's left for you to write. Every repo it names is real, licensed for your use or flagged, and checked live.