
Citepath
io.github.arif-jsPublished by GitHub account arif-jsv0.1.4Updated Oct 27, 2026
Self-hosted search over your documentation, with citations, for AI assistants and apps
The publisher's own server: citepath
Overview
Citepath indexes your own documentation sites and local docs folders, letting an assistant search them and answer with cited passages.
- What you can do
- Search indexed documentation and return ranked passages, each linked to the exact page section or file lines it came from
- Retrieve a full passage, optionally with surrounding sections, for closer reading
- Search across sources with filters for source, path prefix and result limit
- Index documentation websites from a sitemap or by following links, and local Markdown, MDX or text folders
- Expose the same index to other tools through a read-only local HTTP API or JSONL export
- When to use it
- Useful when an assistant should answer from current, private or version-specific docs rather than model memory, such as framework docs, internal wikis, runbooks or repo documentation. Also suited to offline work or assistants without web search, and to builders who want a local retrieval layer returning cited passages.
- Requirements
- Runs as a local process via npx or a global npm install; requires Node.js 22.16 or later. You must first create a config and add and sync sources with the CLI. No account, API keys or telemetry are needed. Network access is required only for syncing documentation websites.
Installation
In SourceWeft
- Open Citepath in the dashboard and add it to a workspace.
- Enable the server for the chats that should use its tools.
Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.
Other MCP clients
Follow the launch instructions in the repository.
README
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.
[Glama MCP server] [npm] [CI] [License: MIT] [MCP] [Node]
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:
[Searching the Next.js docs with citepath]
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 callcacheLife('hours'), or pass{ stale, revalidate, expire }. This requirescacheComponents: trueinnext.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
cacheLifepage 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 syncfrom 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.
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
Global options: --json, --quiet, --config <file>, --data-dir <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
Source: README.md at commit 15aeadd
Tools
0Version history
2- v0.1.4LatestOct 20, 2026
- v0.1.3Oct 15, 2026
Score
50% of the applicable checks met
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- Reached in the last 30 days25 pts
Keep the endpoint answering the MCP handshake; SourceWeft probes it every 30 days.
- Auth declared10 pts
Declare the credential headers in the registry entry, or keep the endpoint answering the probe so its auth can be classified.
- Tools listed15 pts
Answer tools/list without a credential, or ship a package that starts in a sandbox without one.
- DescriptionRequired15 pts
- Logo10 pts
- Documentation15 pts
- License10 pts