lockdocs

Exact-version library docs from your lockfile — local, offline, no rate limits.

Reads your lockfile. Answers from the docs and type declarations of the exact version you installed.
npm · PyPI · crates.io · Go. MCP server + CLI in one Rust binary. No account, no API key. MIT.

[](https://github.com/SylphxAI/repomap#agent-readiness-score)

Docs · Quickstart · Tools · Benchmarks · Compare · How it works

_{A real terminal: one question, two projects. The zod 3 project gets .strict(), the zod 4 project gets z.strictObject(), each cited to package@version file:line.}

Quickstart

npx -y @sylphx/lockdocs setup     # add lockdocs to Claude Code, Codex, Cursor, VS Code, Claude Desktop, Windsurf, Gemini CLI

That's it. setup detects the clients you have, writes their MCP config, and prints every change. Run it again and nothing changes. Then ask your agent something like "Use lockdocs: how do I reject unknown keys with the zod we use?"

From a terminal, inside any project:

npx -y @sylphx/lockdocs zod "reject unknown keys"          # docs for the zod version in your lockfile
npx -y @sylphx/lockdocs api axum::Router::route            # exact signature + doc comment
npx -y @sylphx/lockdocs resolve                            # every pinned version, and whether its docs are here
npx -y @sylphx/lockdocs fetch                              # once: add upstream docs at each version's git tag

{
  "mcpServers": {
    "lockdocs": { "command": "npx", "args": ["-y", "@sylphx/lockdocs", "mcp"] }
  }
}

[mcp_servers.lockdocs]
command = "npx"
args = ["-y", "@sylphx/lockdocs", "mcp"]

Why

Your agent writes code against the library version it remembers, not the one you installed. So it calls .dict() on a pydantic 2 model, cookies() without await on Next.js 15, and /:id routes on axum 0.8. Hosted doc servers help, but they guess the version from the prompt, cap free usage, and cannot see your private packages.

lockdocs takes the version question off the table:

• Exact version, zero config. It reads package-lock.json, pnpm-lock.yaml, yarn.lock, bun.lock, Cargo.lock, uv.lock, poetry.lock, Pipfile.lock, requirements*.txt and go.mod. No library IDs, no "use v14" in the prompt.
• Docs that ship with the code. READMEs, changelogs and docs/ folders, plus the API reference in the package itself: .d.ts declarations with JSDoc, Python docstrings and stubs, rustdoc comments, Go doc comments. If it is installed, it is documented, including your private and internal packages.
• Offline and unlimited. Everything is read from node_modules, your virtualenv, ~/.cargo/registry and the Go module cache. Offline after a one-time model download (129 MB, kept as 32 MB); keyword-only mode (LOCKDOCS_EMBED=0) needs no network at all. No account, no rate limit, and nothing about your dependencies leaves your machine.
• Upstream docs at the exact tag, when you want them. Packages like Next.js, Django and FastAPI ship no docs. lockdocs fetch pulls their docs folders from GitHub at the git tag of your pinned version, once, then stays offline.
• Meaning, not just words. Hybrid retrieval: BM25 fused with a small local embedding model (downloaded once, 32 MB on disk), plus API redirects from deprecation notes ("use model_validate instead").
• Small, cited answers. Packed into a token budget (1,200 by default), every section cited as package@version path:line.

What your agent gets

Three tools, cheap enough to call before every unfamiliar API:

Example, in a pydantic 2 project:

$ lockdocs api BaseModel.model_dump --tokens 300
pydantic@2.9.2 · pypi · .venv/lib/python3.12/site-packages · pinned in uv.lock

### pydantic.main.BaseModel.model_dump (method) — pydantic@2.9.2 pydantic/main.py:352
def model_dump(self, *, mode: Literal['json', 'python'] | str = 'python', include: IncEx | None = None, …) -> dict[str, Any]
Usage docs: https://docs.pydantic.dev/2.9/concepts/serialization/#modelmodel_dump

Generate a dictionary representation of the model, optionally specifying which fields to include or exclude.

The same call in a pydantic 1 project answers that pydantic 1.10.18 has no model_dump, and shows the closest documentation instead.

Ecosystems

Legacy copies bundled inside a package (zod/v3 inside zod 4, pydantic/v1 inside pydantic 2) rank below the current API.

Upstream docs and missing packages (opt-in)

lockdocs fetch adds, once, each direct dependency's upstream docs: it finds the GitHub repository in the package's own metadata and the git tag of your pinned version, and downloads only the docs folders at that tag (Markdown, MDX, reStructuredText, docs examples). Answers then cite next@15.1.0 upstream:docs/01-app/.../cookies.mdx:12. See Upstream docs and fetching.

Not installed? Fetch the exact version (opt-in)

Out of the box lockdocs reads only your disk (plus the one-time embedding model download). If a pinned package is not installed (a fresh clone, CI, a lockfile you are reviewing), it says so and tells you how to install it. Pass --fetch (or set LOCKDOCS_FETCH=1, or lockdocs setup --fetch) to let it download exactly that version from the registry (npm tarball, PyPI wheel or sdist, crates.io .crate, Go module proxy zip) into its cache. Fetched answers say fetched from registry.npmjs.org. You can also ask for a version you do not use: lockdocs npm:zod@4.1.5 "strict object" --fetch.

Benchmarks

105 questions whose correct answer depends on the version, over 15 libraries (zod, Next.js, React Router, pydantic, axum, tokio, Tailwind CSS, ESLint, Prisma, React, Vite, Express, SQLAlchemy, Django, FastAPI), each asked in a real project with that version installed. An answer passes when it contains the version-correct API and none of the other version's. Same questions and grader against Context7's anonymous API, on a GitHub-hosted runner (run):