"Context7 - Tool or Service Lookup" matching MCP servers:

A Model Context Protocol server that fetches up-to-date, version-specific documentation and code examples from libraries directly into LLM prompts, helping developers get accurate answers without outdated or hallucinated information.

Provides LLMs with up-to-date, version-specific documentation and code examples directly from library sources, eliminating outdated training data and hallucinated APIs by fetching current documentation at prompt time.

A drop-in Context7 MCP proxy that manages multiple API keys, balancing quota usage, caching responses, and providing failover for the standard Context7 tools. It lets MCP clients like OpenCode use the standard Context7 tools without worrying about account selection or quota limits.

Provides up-to-date library documentation by resolving library names and fetching docs via the Context7 API.

Provides LLMs with up-to-date, version-specific documentation and code examples from library sources directly into prompts, eliminating outdated code generation and hallucinated APIs.

Enables AI assistants to access up-to-date library documentation through MCP tools for resolving library IDs and querying docs.

Provides access to the Context7 API for searching up-to-date documentation, code examples, API references, and troubleshooting help across thousands of programming libraries and frameworks. Enables developers and AI agents to quickly find accurate documentation, compare libraries, get migration guides, and resolve coding issues.

Provides real-time access to code library documentation and examples through Context7 API integration, enabling AI assistants to retrieve up-to-date technical documentation, code snippets, and best practices for various programming libraries.

Enables querying Context7 V2 documentation through resolve-library-id and query-docs tools, alternating between two API keys and retrying when a key is blocked.

A tool discovery MCP server that integrates with Azure DevOps wikis and code-graph-rag to match natural language goals to tools, enabling tool composition and proxy testing.

Enables querying private documentation with tools for version resolution, stale reference checking, and receipt export.

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.

Provides up-to-date, version-specific documentation and code examples for libraries and frameworks directly into AI prompts, eliminating outdated code generation and hallucinated APIs.

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 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 Bun-based MCP server that allows AI models to query Swagger/OpenAPI documentation from local files or remote URLs. It enables users to search for APIs, retrieve detailed endpoint definitions, and fetch schemas to facilitate code generation and API integration.

Pulls up-to-date, version-specific documentation and code examples for libraries directly into your prompt, preventing outdated or hallucinated APIs.

An MCP server that helps transfer C4 diagrams from DrawIO and PlantUML into a DocHub architecture repository.

An MCP server that bridges to the Context7 API, enabling querying documentation context, searching projects, and retrieving project metadata.

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