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Connect Context7 to ChatGPT, Claude and Gemini

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Stop your agent from hallucinating outdated API signatures.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

A futuristic MCP client docking bay
V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 2 capabilities

We ship only the actions that matter.

Capability set01 / 01

01-02

2 capabilities in this set.

Part of 2 available through Context7.

  1. 01

    Query docs

    This capability fetches raw Markdown documentation and valid code examples for a specific library ID. It provides the technical context your agent needs to answer specific questions about a framework.

  2. 02

    Resolve library

    This capability converts fuzzy framework names like 'react' into specific, deterministic paths and versioned IDs. It ensures your agent targets the exact library version required for your project.

Real work

What teams actually run

01

Debugging API Changes

Your agent checks the latest documentation to see why a previously working function is now failing.

02

Rapid Prototyping

Your agent pulls boilerplate code for a new framework you just installed.

03

Version Migration

Your agent compares documentation between two versions to help you upgrade your codebase.

04

Agent Grounding

You provide your coding agent with a real-time RAG layer for technical accuracy.

Automate a task

Put Context7 to work on one thing.

Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.

One connector, every AI

Context7 works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

Building your own app? The connector is yours to use.

You don't need a client to put Context7 to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

882ms average. Fast in production.

Context7 is checked daily against the live service.

Daily averagePeak 1221ms
Oct 3Today
Fastest day
710ms
Slowest day
1221ms
14-day trend
Stable+2%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 2 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Context7, so you can see the experience inside your AI.

It does not authenticate your account with Context7. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Context7 Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_G0gCyfqz9Q1S4zzxt7mcNwbwWqLQdONTIODtbqay/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Context7 capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "context7-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_G0gCyfqz9Q1S4zzxt7mcNwbwWqLQdONTIODtbqay/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

Guided setup for Claude? Set up Context7 in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Context7 owners hand off.

This MCP is built for technical professionals who need high-accuracy code generation and documentation lookup.

  • 01

    Software Developers

    They use it to pull API documentation and snippets without leaving the IDE.

  • 02

    AI Engineers

    They use it to ground coding agents in real-time technical data to prevent hallucinations.

  • 03

    Technical Writers

    They use it to verify version-specific API signatures against official docs.

FAQ

Questions Context7 owners ask.

  • 01

    How does Context7 prevent AI hallucinations?

    It provides your agent with raw Markdown documentation and version-specific code examples. This grounds the agent in real technical truths rather than relying on outdated training data.

  • 02

    Which AI clients can use this MCP?

    You can use this MCP with any compatible client, including Claude, Cursor, Windsurf, and VS Code.

  • 03

    Does this work with the latest library releases?

    Yes. The documentation is synchronized with the latest releases, allowing your agent to access information that was released after its training cutoff.

  • 04

    How do I get the documentation for a specific version?

    The resolve_library capability first identifies the exact versioned path for a library, which then allows the query_docs capability to pull the correct information.

  • 05

    Do I need to host this myself?

    No. Vinkius hosts and manages the MCP for you. You just connect your client and start using the capabilities.

  • 06

    Can my agent find the latest documentation for a specific Tailwind CSS version?

    Yes. First, use the 'resolve_library' capability with 'tailwindcss'. It will return the deterministic ID and version (e.g., 'tailwindcss/3.4.1'). Then, use 'query_docs' to pull the exact Markdown blocks for your specific topic.

  • 07

    Does Context7 provide code examples for the libraries I search for?

    Absolutely. When you query documentation via the 'query_docs' capability, the agent retrieves not only textual descriptions but also version-specific code examples found in the original library documentation to ensure implementation accuracy.

  • 08

    How does this help prevent AI hallucinations in coding tasks?

    Standard LLMs have a training data cutoff. Context7 pulls live, version-specific documentation chunks that act as ground-truth context. By grounding your agent in this real-time data, it avoids hallucinating outdated or non-existent API methods.

Explore

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