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PopNx MCPMCP servers for people who use AI · explained in plain words

Agent Docs

by KonstantinStarovoytovversion 0.1.1i★ –iRuns in the cloud
Registry nameio.github.KonstantinStarovoytov/agent-docs

Install

Overview

Description from the maker (original English)

Search the official docs of Claude Code, Cursor, OpenAI Codex and MCP, refreshed daily.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs in the cloud
  • Transport: Streamable HTTP
  • Category: Search & AI memory
  • You need to fill in: X-Cohere-Api-Key, Authorization

Install

Pick the AI app you use, then copy the settings.

Before you install

Values 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.

Open in Cursor

Or copy the settings yourself

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.

Open in VS Code

Or copy the settings yourself

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.

Values you fill in

  • X-Cohere-Api-Key secret HTTP header
    Your own Cohere API key (free trial at dashboard.cohere.com). Provide this or Authorization.
  • Authorization secret HTTP header
    Bearer token from the owner. Provide this or X-Cohere-Api-Key.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

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_docs

    Search 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_section

    Read 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

Basic checksi

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

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account KonstantinStarovoytov, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • ✓ Pass

    Endpoint responds

    Responded in 137 ms (HTTP 200)

  • – Not applicable

    Sign-in with OAuth

    No sign-in needed

  • ✓ Pass

    No hidden instructions in tool descriptions

    Read 2 tool descriptions and found no hidden instructions to the AI

Compared with others in Search & AI memoryi

  • More stars than 0% of the other 5684 servers in this category
  • Published to the registry more recently than 62% of the other 5684 servers in this category
  • Basic checks equal to or better than 100% of the other 5684 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Agent Docs safe?

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.

What keys or codes does it need?

You need to fill in: X-Cohere-Api-Key, Authorization

Does it run on my computer or in the cloud?

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.

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.1) reached the registry 24 days ago.

Which apps can use it?

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.

What can I use instead?

In the same category: Context7, Codebase Memory, Exa

Alternatives

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

Context7

Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.

by upstashWidely used↓ 972.7K/wk★ 64.2KUpdated 2 days ago

Computer or cloud

Codebase Memory

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

by DeusDataWidely used↓ 18K/wk★ 48.1KUpdated 22 days ago

Runs on your computer

Exa

Connect AI agents to Exa for web search, content fetching, and multi-step research.

by exa-labsGrowing★ 5.2KUpdated 2 months ago

Runs in the cloud✓ exa.ai

README from the maker

Open the README

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.

Agent Docs

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.


Connect

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:

  • Your own Cohere key: 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.
  • A token from the owner: 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.

ToolWhat 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".

EndpointPurpose
GET /healthLiveness, no token
POST /askA written answer with citations
POST /searchPassages with page descriptions (search_docs)
POST /pagesPage cards: description and outline
POST /sectionOne section of a page (read_section)
POST /mcp/MCP (streamable HTTP)
GET /docsInteractive 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).

What it covers

ProductSource
Claude Code (incl. Agent SDK, plugins)code.claude.com/docs/llms.txt
Cursorcursor.com/llms.txt
Codexdevelopers.openai.com/codex/llms.txt
MCP (latest spec, registry, extensions)modelcontextprotocol.io/llms.txt

How it works

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:

  1. It searches by meaning (embeddings) and by exact words (BM25) at the same time, so both "connect a tool server" and claude mcp add find the right page.
  2. It merges the two result lists by rank. Ties are kept in a fixed order, so the same question always gets the same results.
  3. A reranker (Cohere) reads the top 20 together with the question and scores how well each one matches.
  4. It keeps the best passage of each page and adds the page's one-line description and the headings of its other matching sections.

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.

Updated every day

[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:

  • Changed pages are embedded again; unchanged ones are skipped.
  • New pages are checked first. A suspicious one waits in a GitHub issue until the owner ticks Index or Decline.
  • Pages that disappear from the list are deleted, unless too many disappear at once.
  • A short report of what changed in the products goes to reports/docs-changes/.

Measured results

Each change was measured on labelled que

Only the beginning is shown; read the rest in the repo

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