"AWS instance metadata service endpoint URL" matching MCP servers:

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 users to access, search, and get recommendations from AWS documentation through natural language queries. Supports both global AWS documentation and AWS China documentation with tools to fetch pages, search content, and discover related resources.

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 implementation that enables AI assistants to interact with markdown documentation files, providing capabilities for document management, metadata handling, search, and documentation health analysis.

Enables AI agents to retrieve free, source-linked decision methods and optional decision packs through MCP tools such as catalog, method, sample_pack, and pack_offer. It operates without model calls and disables payments by default.

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

Provides real-time access to AWS security best practices, incident response playbooks, and preventive security measures from the official AWS Customer Playbook Framework repository. Enables users to query AWS security guidance for services like S3, IAM, EC2, and RDS through natural language.

Enables querying context about the MAM product components and architecture through MCP, allowing agents to retrieve targeted product information on demand instead of loading full documentation.

A self-synthesizing AI knowledge wiki that provides a read-only MCP surface for external agents to trace the wiki content and graph.

Parse any file or URL into structured text. Extract text from PDF, DOCX, YouTube, web pages, images, and 25+ formats via one API. Tools: parse_url, parse_file, get_youtube_transcript.

MCP server providing access to the Earth616 Defense Supply Chain and Documentation Ontology with tools for ontology lookup and testing.

Provides comprehensive documentation about AWS AgentCore framework to GenAI tools, enabling users to build production-ready AI agents with enterprise-grade security, observability, and scalability. Offers guidance on identity management, API integration, monitoring, code execution, memory storage, and tool integration for AI agents.

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

An MCP server that provides comprehensive access to AWS Amplify Gen 2 Next.js documentation, enabling AI assistants to provide accurate, up-to-date guidance on building applications with Amplify.

Enables AI-powered document analysis and querying for project documentation using vector embeddings stored in Redis. Supports document upload, context-aware Q\&A, automatic test case generation, and requirements traceability through OpenAI integration.

Enables deterministic question-answering over a curated knowledge base of AWS Agent Toolkit governance, returning cited least-privilege IAM policies, MCP catalogue entries, and data-residency guidance without calling an LLM.

Serves the already-public developer documentation for the DivineAPI REST API, enabling search, endpoint lookup, and example responses without authentication.

Converts documents to clean Markdown for AI agents from a URL or base64 — no API key, built for remote hosting. Supports PDF (tables preserved as Markdown/CSV/JSON), DOCX, PPTX, XLSX, EPUB, HTML and CSV; scanned PDFs and images go through offline OCR. Includes full-text search, page-range reading, metadata inspection, PDF split/merge and image export, with SSRF-protected fetching, 30 MB limits and

Provides semantic search over AWS Cloudscape Design System documentation using natural language queries, enabling AI assistants to efficiently find and retrieve component documentation with token-efficient responses.

stdio server to read markdown with images or index markdown headings from a file, folder or URL