# Added interop.io docs in Context7 **URL:** \ **Category:** General\ **Tags:** MCP, Discussion\ **Created:** [February 17, 2026, 2:23pm UTC](https://community.interop.io/t/added-interop-io-docs-in-context7/489 "2026-02-17T14:23:56Z")\ **Posts on this page:** 3\ **Page:** 1
**Author:** ![toni.petrov](https://yyz2.discourse-cdn.com/flex028/user_avatar/community.interop.io/toni.petrov/32/17_2.png) [@toni.petrov](https://community.interop.io/u/toni.petrov)\ **Post date:** [February 17, 2026, 2:23pm UTC](https://community.interop.io/t/added-interop-io-docs-in-context7/489/1 "2026-02-17T14:23:56Z")
All documentation from [https://docs.interop.io](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it a way to pull **up-to-date, version-specific code examples** from our docs _at prompt-time_, instead of relying on outdated model training because of knowledge cutoff.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 The goal: fewer hallucinated APIs, fewer outdated examples, less arbitrary browsing.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](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](https://upstash.com/blog/context7-quality) ## 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 1. Add it as an extension/mcp to your favourite code assistant (VS Code, Cursor, Claude Code). 2. Add `context7` to 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. ---
**Author:** ![Nicholas.head](https://yyz2.discourse-cdn.com/flex028/user_avatar/community.interop.io/nicholas.head/32/46_2.png) [@Nicholas.head](https://community.interop.io/u/Nicholas.head)\ **Post date:** [April 22, 2026, 8:55am UTC](https://community.interop.io/t/added-interop-io-docs-in-context7/489/2 "2026-04-22T08:55:23Z")
Just wanted to say thank you for doing this. I use this tool every day now! ---
**Author:** ![toni.petrov](https://yyz2.discourse-cdn.com/flex028/user_avatar/community.interop.io/toni.petrov/32/17_2.png) [@toni.petrov](https://community.interop.io/u/toni.petrov)\ **Post date:** [April 29, 2026, 12:47pm UTC](https://community.interop.io/t/added-interop-io-docs-in-context7/489/3 "2026-04-29T12:47:29Z")
> [@Nicholas.head](#): > > Just wanted to say thank you for doing this. I use this tool every day now! That’s great to hear! Have you noticed any issues we need to fix. Also sharing a quick hoby project a colleague created - [AI Genеrated interop demo](https://github.com/danielpetrov/ai-generated-interop-demo). Not sure how many people will find it useful, but it’s can work quick prototyping and exploring how agents can build better on top of FDC3 and interop.