context7

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Overview

The context7 MCP server is a Model Context Protocol (MCP) server that provides AI assistants with direct access to up-to-date library and framework documentation from Context7, running as a local MCP service. It allows AI-driven workflows to retrieve current, authoritative docs and examples for popular programming languages, frameworks, and tools — helping models generate accurate, version-appropriate code and explanations without relying solely on training data.

This server is especially useful for local development environments, IDE-integrated assistants, and workflows where developers want documentation access to run alongside other local MCP tools.

Transport

stdio

Tools

  • query-docs
  • resolve-library-id

Key Capabilities

  • Local documentation access — Run Context7 as part of your local MCP toolchain for low-latency access.
  • Up-to-date references — Retrieve current documentation rather than relying on potentially stale model knowledge.
  • Broad ecosystem coverage — Support for many popular languages, frameworks, and developer tools.
  • Version-aware guidance — Return documentation aligned with modern or specified versions when available.
  • Reduced hallucinations — Ground AI-generated code and explanations in real, maintained sources.

How It Works

Check out our Context7 MCP server guide.

The context7 MCP server runs locally as an MCP service and connects to Context7’s documentation index to retrieve the latest reference material.

When a tool is called, the server locates the most relevant documentation content and returns it in a structured, AI-friendly format that can be summarized, cited, or used directly for code generation and explanation. Because the server runs locally, it integrates cleanly with other local MCP servers (such as GitHub, build tools, or databases) to form a cohesive developer workflow.

This design allows AI assistants to answer questions like “how do I use this API today?”, “what’s the correct syntax for this framework version?”, or “show me an example from the official docs” — all without leaving the development environment.