Context7
Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.
Description from the maker (original English)
Search the official docs of Claude Code, Cursor, OpenAI Codex and MCP, refreshed daily.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
X-Cohere-Api-Key, AuthorizationValues marked secret are keys to your account. Never share them or paste them into a chat.
You need
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
This address needs a key in a request header, which the add-connector menu cannot set. Use Claude Code, Cursor or VS Code instead.
Run this in your terminal
claude mcp add --transport http agent-docs https://agent-docs-mcp.onrender.com/mcp/ --header 'X-Cohere-Api-Key: your-value' --header 'Authorization: Bearer {token}'Fill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"agent-docs": {
"url": "https://agent-docs-mcp.onrender.com/mcp/",
"headers": {
"X-Cohere-Api-Key": "your-value",
"Authorization": "Bearer {token}"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"agent-docs": {
"type": "http",
"url": "https://agent-docs-mcp.onrender.com/mcp/",
"headers": {
"X-Cohere-Api-Key": "your-value",
"Authorization": "Bearer {token}"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
This address needs a key in a request header, which the add-connector menu cannot set. Use Claude Code, Cursor or VS Code instead.
Your choice stays on this device in a cookie; no account needed.
X-Cohere-Api-Key secret HTTP headerAuthorization secret HTTP headerThese settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Tool names and descriptions exactly as the server reported them on Nov 8, 2026. The maker wrote them, not us; we show them as plain text.
search_docsSearch the official documentation of Claude Code, Cursor, OpenAI Codex and MCP. Use it before answering any question about using, configuring or administering these products. Not for other products or general programming. If the answer could differ between products and the user h
read_sectionRead a page found by search_docs. Without a heading: the page's description and outline (top-level sections with subsection counts). With a heading: that section's full text, including its subsections; continue long sections with next_offset. outline_depth=3 also lists subsection
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 8, 2026
The registry name was verified with the GitHub account KonstantinStarovoytov, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
Responded in 137 ms (HTTP 200)
No sign-in needed
Read 2 tool descriptions and found no hidden instructions to the AI
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 3 of 3 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
You need to fill in: X-Cohere-Api-Key, Authorization
It runs in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.
The GitHub repo last changed –, and the latest version (0.1.1) reached the registry 24 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.
In the same category: Context7, Codebase Memory, Exa
Servers in the same category from other makers, sorted by stars.
Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.
Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
Connect AI agents to Exa for web search, content fetching, and multi-step research.
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
An MCP server that gives AI agents the current official documentation of Claude Code, Cursor, Codex and MCP.
These tools change faster than a model's training data. Agent Docs keeps about 600 pages of their official docs in a search index, refreshes it every day, and gives your agent two tools: one finds the right passage, the other reads a whole section. The agent answers from the real docs and can link to them.
It runs as a remote MCP server (and over REST). You can try it with a free Cohere key.
[Step through it at your own pace](https://konstantinstarovoytov.github.io/agent-docs/) (arrow keys work), or open the stills:
The 15 steps as still images
Source and how to rebuild: docs/flow/
How it was built and what was measured: ARCHITECTURE.md.
Add the server to any MCP client (Claude Code, Cursor, OpenWebUI and others):
{
"mcpServers": { "agent-docs": { "url": "https://agent-docs-mcp.onrender.com/mcp/", "headers": { "X-Cohere-Api-Key": " " } } } }
Calling a tool needs one of two headers:
X-Cohere-Api-Key: . A free trial key is at dashboard.cohere.com. The key pays for reranking that one request; it is never stored or logged. Limit: 30 requests a minute per IP.Authorization: Bearer . For a guest token, open an issue titled "Guest token request".The server is on a free plan: after 15 idle minutes, the first request takes about a minute.
| Tool | What it returns |
|---|---|
search_docs(query, limit=8, product=None, response_format="concise") | The best passage from each matching page, ranked, with the page's one-line description and a relevance score. Ask about one topic per call. product: claude-code, cursor, codex, mcp |
read_section(url, heading=None, offset=0, outline_depth=2) | Without a heading: the page's description and outline (outline_depth=3 adds subsections). With a heading: the whole section, up to 8,000 characters per call (next_offset gives the rest) |
Over REST:
curl -X POST https://agent-docs-mcp.onrender.com/ask \
-H "Authorization: Bearer $API_TOKEN" -H 'content-type: application/json' \ -d '{"question": "How do I add an MCP server in Claude Code?"}'
With your own key, replace the Authorization line with -H "X-Cohere-Api-Key: $COHERE_API_KEY".
| Endpoint | Purpose |
|---|---|
GET /health | Liveness, no token |
POST /ask | A written answer with citations |
POST /search | Passages with page descriptions (search_docs) |
POST /pages | Page cards: description and outline |
POST /section | One section of a page (read_section) |
POST /mcp/ | MCP (streamable HTTP) |
GET /docs | Interactive API docs (use Authorize with the token) |
Locally, without a server (stdio, no token):
{ "mcpServers": { "agent-docs": { "command": "uv",
"args": ["run", "--directory", "/path/to/agent-docs", "rag-mcp"] } } }
For MCP directories: connecting and listing the tools need no key (30 requests a minute per IP); only tools/call does. The server keeps no session, so GET /mcp answers 405; send everything with POST. Listed in the official MCP Registry as io.github.KonstantinStarovoytov/agent-docs (server.json).
| Product | Source |
|---|---|
| Claude Code (incl. Agent SDK, plugins) | code.claude.com/docs/llms.txt |
| Cursor | cursor.com/llms.txt |
| Codex | developers.openai.com/codex/llms.txt |
| MCP (latest spec, registry, extensions) | modelcontextprotocol.io/llms.txt |
Your agent calls search_docs, then read_section when a passage is not enough. No language model runs on the server for this: the agent reads the passages and writes the answer itself.
search_docs works in four steps:
claude mcp add find the right page.read_section reads from a stored copy of the page; no model is called. Searches are traced in Langfuse.
The REST endpoint /ask is for clients that are not agents. It also translates Russian and Polish questions into English, says "the documentation does not cover this" when even the best candidate scores below 0.55, picks 8 chunks (at most 2 from one section), and has gpt-6-luna write an answer that cites them.
[Step through it at your own pace](https://konstantinstarovoytov.github.io/agent-docs/?flow=reindex), or open the stills:
The 12 steps as still images
Every day at 06:00 UTC a GitHub Actions job reads each vendor's list of pages (llms.txt) and updates the index:
Each change was measured on labelled que
Only the beginning is shown; read the rest in the repo