All documentation from https://docs.interop.io is now available in the Context7 MCP Server.
If you’re using an AI coding assistant (Copilot / Claude Code / any MCP-capable client), this gives it a way to pull up-to-date, version-specific code examples from our docs at prompt-time, instead of relying on outdated model training because of knowledge cutoff.
What is Context7?
Context7 is an Open-Source project from Upstash that makes documentation “LLM-ready” by indexing documentation code snippets + short snippet descriptions. When prompted it retrieves relevant examples and injects them into the model context. The goal: fewer hallucinated APIs, fewer outdated examples, less arbitrary browsing.
How does it work with our docs?
Context7 indexes code snippets from docs.interop.io and generates short descriptions/metadata for them. When you add “use context7” to a prompt, your MCP client retrieves the most relevant snippets and injects them into the model context (RAG), which tends to be more reliable than relying on the LLM’s training cutoff.
Note
Our docs cover multiple products (io.Connect Desktop, io.Connect Browser, io.Manager, etc). This means you may get a “close enough” snippet from the other product if your prompt is vague. To avoid that, be explicit in prompts: mention Desktop vs Browser or create a simple skill for that.
Privacy and security notes (incl. prompt injection)
1) What gets sent to Context7
Per Context7’s security docs: your assistant formulates the search query, and only the query + library identifier are sent to Context7 - not your full prompt, not your repository, and not your whole chat history - https://context7.com/docs/resources/security
2) Prompt-injection hardening
Context7 explicitly treats prompt injection as a real risk (because anyone can submit content to be indexed) and describes a multi-stage detection pipeline that scans snippets before they’re stored/retrieved - Inside Context7's Quality Stack | Upstash Blog
Note on limitations (important)
This integration is snippet-first. It works best when your question can be answered by pulling in examples.
It will be weak (or fail) for questions that live mostly in narrative doc text, release notes, or conceptual comparisons, e.g.:
- “What changed in 10.0.3?”
- “What’s the difference between Intents and Interop methods?”
Sometimes you may get something useful if there’s a snippet that implicitly demonstrates the concept, but don’t expect it to behave like a general-purpose docs chatbot.
How to try it
- Add it as an extension/mcp to your favourite code assistant (VS Code, Cursor, Claude Code).
- Add
context7to your prompts (when you want to leverage it
Write a JavaScript example for initializing io.Connect Desktop and registering an Interop method. use context7
You’ll realize that it will also help give your assistant up-to-date knowledge for other libraries you’re using.
Feedback
If you try it, please let us know if it worked.
And if you’re already using another docs-grounding approach that works better for you, please share it - perhaps there’s something even better out there.