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Citepath

by arif-jsversion 0.1.4i★ –iRuns on your computer
Registry nameio.github.arif-js/citepath

Install

Overview

Description from the maker (original English)

Self-hosted search over your documentation, with citations, for AI assistants and apps

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 on your computer
  • Transport: stdio
  • Category: Search & AI memory

Install

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

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • The registry lists no key to fill in.

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "citepath": {
      "command": "npx",
      "args": [
        "-y",
        "citepath",
        "mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add citepath -- npx -y citepath mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "citepath": {
      "command": "npx",
      "args": [
        "-y",
        "citepath",
        "mcp"
      ]
    }
  }
}

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": {
    "citepath": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "citepath",
        "mcp"
      ]
    }
  }
}

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 one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

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

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

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 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account arif-js, 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

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Search & AI memoryi

  • More stars than 0% of the other 7274 servers in this category
  • Published to the registry more recently than 68% of the other 7274 servers in this category
  • Basic checks equal to or better than 100% of the other 7274 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 Citepath safe?

It passed 1 of 1 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?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.4) reached the registry 18 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

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:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Context7

by upstash

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

Computer or cloud★ 64,224MITUpdated yesterday
Install

Codebase Memory

by DeusData

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

Runs on your computer★ 48,148MITUpdated 21 days ago
Install

Exa

by exa-labs

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

Runs in the cloud★ 5,213MITUpdated last month
Install

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.

Citepath

Self-hosted search over your documentation, with citations, for AI assistants and apps.

Index docs websites and local folders, then let Claude, Cursor, or any MCP client answer from the current docs, with a link to every section it used.

Quick start · Demo · Why not RAG? · Commands · Docs · Contributing

Status: pre-release (0.1). Expect breaking changes before 1.0.

What it does

  • 📚 Indexes your docs: documentation websites (from the sitemap or by following links, respecting robots.txt) and local Markdown, MDX, or text folders.
  • 🔗 Returns cited passages: each search result links to the exact page section or file lines it came from.
  • 🧠 Understands code and plain English: getUserName, --dry-run, and "how do I configure caching" all work.
  • 🤖 Connects to AI assistants: Claude Code, Cursor, and other MCP clients search your docs; your own tools use the CLI or a local HTTP API.
  • 🔒 Runs locally: no account, no API keys, no telemetry. Assistants get read-only access, and a failed sync never deletes good data.

Citepath finds passages; it doesn't write answers. Your assistant writes the answer from those passages and cites them, so you can check every claim.

Demo

Index the current Next.js docs once, then search them:

citepath add nextjs --url https://nextjs.org/docs/app --include '/docs/app/**' --sync

The same search works inside your assistant:

You: Using citepath, how do I set how long cached data lives in Next.js?

Claude: Add 'use cache' to the function and call cacheLife('hours'), or pass { stale, revalidate, expire }. This requires cacheComponents: true in next.config.ts.

Sources: cacheLife, use cache, cacheComponents

Who it's for

  • Developers using AI coding assistants: answers based on the current docs of your frameworks and services, not on what the model remembers.
  • Builders of AI tools: a retrieval layer that returns ranked, cited passages as JSON for any model.
  • Small teams: internal wikis, runbooks, and docs folders searchable by assistants, without a hosted platform.
  • Open-source maintainers: an easy way for users to connect your project's docs to their assistants.

Why not RAG or web search?

It is RAG: the retrieval half, run locally. Instead of embeddings and a vector database, Citepath uses a keyword index. That means no embedding API or keys, exact matches on identifiers like cacheLife, the same results for the same query, and citations down to the section. The trade-off: it matches words, not meaning, so "sign in" won't find a page that only says "authentication".

Web search is better for broad, one-off questions. Citepath is better when:

  • the docs are private: internal wikis, runbooks, and repo docs aren't on the web;
  • the version matters: you choose what's indexed, and search prefers the current copy of a page over old versions;
  • you want less to read: on the Next.js docs, 5 cited passages for "how do I set the cache lifetime" are about 4,200 characters, while the five pages they come from hold about 51,000 characters of text (the cacheLife page alone is about 1 MB of HTML);
  • you're offline, or your assistant has no web search.

"The model already knows the docs." Only the version it was trained on. Fast-moving APIs, such as Next.js cacheLife, cacheComponents, or the new two-argument revalidateTag, are where models answer from outdated memory.

"Why not paste the docs into the prompt?" That works for a few pages. The Next.js docs are 845 pages; search picks the few passages that matter.

Costs and limits. Measured on a laptop with the Next.js and Vercel docs:

  • Free to run: no account, API keys, or per-search fees. Searches take milliseconds (p95 13 ms across about 30,000 passages).
  • Setup time and disk: syncing 845 Next.js pages took about 7.5 minutes at the polite default of 2 requests per second; the two sites use 83 MB.
  • Freshness: results are as current as your last sync. There is no built-in scheduler, so run citepath sync from cron.
  • Not indexed: sites that need JavaScript to render, PDFs, and docs behind a login.
  • Single user: one API token, no per-user permissions.

Use something else for broad questions (web search), meaning-based search (embeddings), or team access control. See Known limitations.

Quick start

Requires Node.js 22.16 or later.

npm install -g citepath

citepath add my-docs --path ~/work/project/docs --sync citepath search "how do I configure authentication"

Connect Claude Code (all projects)

claude mcp add citepath -s user -- citepath mcp

Run /mcp in Claude Code to check the connection. For other assistants and scope options, see MCP setup. To run from source, see CONTRIBUTING.md.

Commands

CommandWhat it does
citepath initCreate the config file.
citepath add --url Add a docs website. Repeat --url to add several. Add --sync to index right away.
citepath add --path Add a local docs folder. Repeat --path to add several.
citepath remove Remove a source and its indexed content.
citepath sync [id...]Fetch and index sources, with live progress. Run again to pick up changes or retry failures.
citepath sourcesList sources with document counts and last sync status.
citepath status [id]Show index locations, or a source's last sync: failures, removals, warnings.
citepath search " "Find matching passages with citations. Filter with --source, --path-prefix, --limit.
citepath get Show a passage in full, with --neighbors for surrounding sections.
citepath mcpMCP server for AI assistants. Your assistant starts it; you don't run it yourself.
citepath serveRead-only local HTTP API on 127.0.0.1:7345.
citepath export, eval, compact, unlockExport as JSONL, measure search quality, optimize the index, clear a stuck sync lock.

Global options: --json, --quiet, --config , --data-dir . See the CLI reference for all options.

Documentation

CLI · Configuration · How sync works · MCP setup · Local API · Result contract · Evaluation · Limitations · Design

Contributing

Contributions are welcome. Read CONTRIBUTING.md, open an issue before a larger feature, and report security problems privately as described in SECURITY.md.

License

MIT

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