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

lockdocs

by SylphxAIversion 0.7.5i★ –iRuns on your computer
Registry nameio.github.SylphxAI/lockdocs

Install

Overview

Description from the maker (original English)

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

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: Other

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

Run this in your terminal

claude mcp add lockdocs -- npx -y @sylphx/lockdocs mcp

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "lockdocs": {
      "command": "npx",
      "args": [
        "-y",
        "@sylphx/lockdocs",
        "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": {
    "lockdocs": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@sylphx/lockdocs",
        "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 SylphxAI, 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 Otheri

  • More stars than 0% of the other 32564 servers in this category
  • Published to the registry more recently than 87% of the other 32564 servers in this category
  • Basic checks equal to or better than 100% of the other 32564 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 lockdocs 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 (0.7.5) reached the registry 5 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: Spec Driven Development, Remote Desktop Commander, Tools MCP

Alternatives

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

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Runs on your computer★ 440MITUpdated 14 months ago
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Remote Desktop Commander

by desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

Runs in the cloud★ 211Updated yesterday
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Web production tools for AI agents: contrast, JP text, WebP, JSON-LD, slugs, dates and 40+ more

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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.

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.

npx -y @sylphx/lockdocs setup

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

A real terminal: one question, two installs. pydantic 1.10.18 answers BaseModel.dict() (pydantic/main.py:427), pydantic 2.9.2 answers model_dump() (pydantic/main.py:352). It opens with Next.js 14 vs 15 cookies().

See it work

Ask for the exact signature of BaseModel.model_dump in a project that pins pydantic 2.9.2 (the run in the demo above):

$ 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.

Quickstart

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

That's it. Using Claude Code only? claude mcp add lockdocs -- npx -y @sylphx/lockdocs mcp. 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

Cursor and VS Code, one click

· Install in VS Code

Requires Node 18+. Confirm the install in your editor, open your project, and enable the server. Both links run npx -y @sylphx/lockdocs mcp locally; no API key is needed.

For VS Code from a terminal:

code --add-mcp '{"name":"lockdocs","command":"npx","args":["-y","@sylphx/lockdocs","mcp"]}'

Or add the server to .cursor/mcp.json:

{

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

For .vscode/mcp.json, use the VS Code servers format:

{

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

<!-- editor-install:end -->

Manual MCP config

{

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

Claude Code: claude mcp add lockdocs -- npx -y @sylphx/lockdocs mcp Claude Code plugin: /plugin marketplace add SylphxAI/lockdocs, then /plugin install lockdocs@lockdocs Codex (~/.codex/config.toml):

[mcp_servers.lockdocs]

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

The server answers for the client's workspace root (or its working directory, or LOCKDOCS_ROOT). Every tool also takes root.

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 after caching. Package files are read from node_modules, your virtualenv, ~/.cargo/registry and the Go module cache. The optional model downloads once (129 MB, kept as 32 MB). Use --offline (or LOCKDOCS_OFFLINE=1) to prohibit all downloads; LOCKDOCS_EMBED=0 disables only the model. No account or hosted query quota. First-use upstream requests reveal the public repository and version being fetched, not your question or project files.
  • Upstream docs on first use. Packages like Next.js, Django and FastAPI ship no docs. Queries automatically add public GitHub docs at the immutable commit resolved from your pinned release tag, anonymously and with bounded downloads. --no-fetch or LOCKDOCS_FETCH=0 opts out; cached docs still work offline. Failures are reported alongside local answers, never replaced with latest-version docs.
  • 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:

ToolAsk itReturns
resolve"Which zod do we use?"Pinned versions from every lockfile, direct vs transitive, and where their docs are (or what to install)
docs"How do I reject unknown keys?" (optionally package: "zod")The most relevant README, changelog and API sections of the installed version, within budget, each cited zod@4.1.5 v4/classic/schemas.d.ts:453
apiz.object, tokio::spawn, BaseModel.model_dump, gin.Context.JSONThe exact signature and doc comment, overloads, members of a class/interface/struct/trait, and other matches

Ecosystems

EcosystemVersions fromDocs read fromAPI reference
npmpackage-lock.json, npm-shrinkwrap.json, pnpm-lock.yaml (v5-v9), yarn.lock (v1 and Berry), bun.lock; else package.json + node_modulesnode_modules (including pnpm's .pnpm store and monorepo roots), Yarn PnP zip cache (.yarn/cache, global Berry cache).d.ts/.d.mts/.d.cts with JSDoc; @types/* when the package ships none; JSDoc'd JS otherwise
PyPIuv.lock, poetry.lock, pdm.lock, Pipfile.lock, requirements*.txt; else the virtualenv.venv, venv, $VIRTUAL_ENV, $CONDA_PREFIX, then the system interpreterDocstrings and signatures from .py, .pyi stubs; README from the wheel's METADATA
crates.ioCargo.lock~/.cargo/registry/src (or $CARGO_HOME), git dependencies from ~/.cargo/git/checkouts, vendor/Public items with rustdoc (///, //!), including items declared inside macros such as tokio's cfg_rt!
Gogo.mod (with replace)$GOMODCACHE/~/go/pkg/mod, vendor/Exported funcs, methods, types, interface methods with doc comments; package docs

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

Upstream docs on first use

The first docs or api query adds the selected dependencies' public release-tag docs once: it finds the GitHub repository in the package's own metadata and the git tag of your pinned version, resolves that tag to an immutable commit, and downloads only its docs folders (Markdown, MDX, reStructuredText, docs examples). It does not use ambient GitHub credentials or download major-version website docs by default. Previously opted-in docs-site caches are preserved and their provenance stays visible. lockdocs fetch remains available to prewarm docs and explicitly add major-version docs sites. 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)

Registry package downloads remain opt-in; default upstream enrichment uses installed package metadata (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

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

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