Context7 Platform: Up-to-date Code Documentation for LLMs and AI Editors

Summary

Context7 Platform provides up-to-date, version-specific code documentation directly to LLMs and AI code editors. It eliminates outdated information and hallucinated APIs, ensuring accurate and relevant code generation. This tool significantly enhances the capabilities of AI coding assistants by integrating real-time documentation into their context.

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Introduction

In the rapidly evolving world of AI-powered coding, Large Language Models (LLMs) often struggle with outdated or generic information about libraries and APIs. This leads to inaccurate code examples, hallucinated APIs, and generic answers for old package versions. Context7 Platform addresses this critical challenge by delivering up-to-date, version-specific documentation and code examples directly into your LLM's prompt.

Context7 works in two primary modes: CLI + Skills, which installs a skill to guide your agent in fetching documentation using ctx7 CLI commands, and MCP, which registers a Context7 MCP server, allowing your agent to call documentation tools natively.

Installation

Setting up Context7 for your coding agents is straightforward. An API key is recommended for higher rate limits, which you can obtain for free at context7.com/dashboard.

npx ctx7 setup

This command authenticates via OAuth, generates an API key, and installs the appropriate skill. You can choose between CLI + Skills or MCP mode and target specific agents using --cursor, --claude, or --opencode flags. For manual configuration or other clients, refer to the Manual Installation / Other Clients guide.

Examples

Context7 integrates seamlessly into your prompts, providing relevant documentation on demand. Here are a few examples of how you can leverage Context7:

Create a Next.js middleware that checks for a valid JWT in cookies
and redirects unauthenticated users to `/login`. use context7

Configure a Cloudflare Worker script to cache
JSON API responses for five minutes. use context7

Show me the Supabase auth API for email/password sign-up.

Important Tips:

Use Library ID: If you know the exact library, add its Context7 ID to your prompt, for example: Implement basic authentication with Supabase. use library /supabase/supabase for API and docs.
Specify a Version: Mention the version in your prompt to get documentation for a specific library version, for example: How do I set up Next.js 14 middleware? use context7

Why Use Context7?

Context7 eliminates common frustrations when working with LLMs for code generation:

No Outdated Code: Say goodbye to code examples based on year-old training data. Context7 fetches the latest information.
No Hallucinated APIs: Avoid non-existent APIs that waste your time. Context7 provides accurate API references.
Version-Specific Answers: Get precise answers tailored to the specific package versions you are using.
Direct Integration: Documentation is pulled directly into your LLM's context, removing the need for tab-switching and manual searches.

By ensuring your AI coding assistant has access to the most current and accurate documentation, Context7 significantly improves the quality and reliability of generated code.