From their Github Repo:

❌ Without Context7

LLMs rely on outdated or generic information about the libraries you use. You get:

• ❌ Code examples are outdated and based on year-old training data

• ❌ Hallucinated APIs don't even exist

• ❌ Generic answers for old package versions

✅ With Context7

Context7 MCP pulls up-to-date, version-specific documentation and code examples straight from the source — and places them directly into your prompt.

Context7 fetches up-to-date code examples and documentation right into your LLM's context.

• 1️⃣ Write your prompt naturally

• 2️⃣ Tell the LLM to use context7

• 3️⃣ Get working code answers

No tab-switching, no hallucinated APIs that don't exist, no outdated code generations.

I have tried it with VS Code + Cline as well as Windsurf, using GPT-4.1-mini as a base model and it works like a charm.

• Context7 website

• Github Repo

YT Tutorials on how to use with Cline or Windsurf:

• Context7: The New MCP Server That Will CHANGE AI Coding (FREE)

• This is Hands Down the BEST MCP Server for AI Coding Assistants