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Tauri Documentation MCP

by fxckcodeversion 0.2.0i★ –iRuns on your computer
Registry nameio.github.fxckcode/tauri-docs-mcp

Install

Overview

Description from the maker (original English)

Read-only MCP server for official Tauri 2 documentation snapshots.

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": {
    "tauri-docs": {
      "command": "npx",
      "args": [
        "-y",
        "tauri-docs-mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add tauri-docs -- npx -y tauri-docs-mcp

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "tauri-docs": {
      "command": "npx",
      "args": [
        "-y",
        "tauri-docs-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": {
    "tauri-docs": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "tauri-docs-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 6, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account fxckcode, 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 32417 servers in this category
  • Published to the registry more recently than 42% of the other 32417 servers in this category
  • Basic checks equal to or better than 100% of the other 32417 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 Tauri Documentation MCP 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 (0.2.0) reached the registry 2 months 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, FOGA node

Alternatives

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

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by formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

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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FOGA node

by garyyang-finchip

A Finch OG Agent cell as an MCP server: read the world, dry-run and take ERC-8414 tenders by policy.

Computer or cloudUpdated today
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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.

tauri-docs-mcp

A read-only Model Context Protocol (MCP) server for resolving and querying a checked-in snapshot of official Tauri 2 documentation.

Requirements

  • Node.js 20.19 or newer (supported Node LTS)
  • npm 10 or newer

The committed package-lock.json is authoritative. Use npm install for local development and dependency changes; CI and reproducible installs use npm ci. Lockfile changes must be committed with dependency changes.

Install and run

Install the published package:

npm install --global tauri-docs-mcp

Or install it in a project and invoke the binary from node_modules/.bin:

npm install tauri-docs-mcp

npx tauri-docs-mcp

Build from a checkout, then run the compiled stdio server:

npm install

npm run build node dist/src/index.js

Configure an MCP client to launch the installed binary over stdio:

{

"mcpServers": { "tauri-docs": { "command": "tauri-docs-mcp" } } }

Portable configurations for generic MCP clients, Claude Desktop, Cursor, and VS Code are in examples/mcp/. They pin the package version and use stdio only. Installable agent guidance is in skills/tauri-docs-mcp/SKILL.md.

The server writes MCP JSON-RPC messages only to stdout. It does not start an HTTP listener. Diagnostics are disabled by default; opt in with TAURI_DOCS_MCP_DIAGNOSTICS=1 and they are written to stderr as event names only (never request arguments, corpus content, secrets, or PII).

Tool contract

The server exposes two stable tools and one backwards-compatible legacy tool.

resolve_tauri_docs

Resolve the default snapshot or an explicit identifier:

{}
{ "identifier": "tauri@2" }

Supported identifiers are tauri, tauri@2, and the immutable snapshot ID tauri-2@58194ceb69424c4332b2780b196ced3a6fffb32b. Resolution is deterministic and returns snapshot, source revision, generated-at, version, and entry-count metadata. Unsupported identifiers return UNSUPPORTED_SNAPSHOT.

query_tauri_docs

Query content from the default or selected snapshot:

{ "query": "capabilities", "snapshot": "tauri@2", "limit": 3 }

query is required and must contain 1–200 non-whitespace characters and at most 16 whitespace-separated terms. snapshot is optional and accepts the resolver identifiers. limit is an optional integer from 1–10 (default 5). Results are bounded, deterministic, and include title, heading, section, canonical URL, content, corpus snapshot, source revision, Tauri version, and versionSensitive. Empty matches return results: [], not an application error. Inputs reject unknown fields.

Both tools are read-only and idempotent. They read only the checked-in corpus; there is no live fetching or arbitrary URL access.

Resource and lifecycle bounds

The shared tool contract enforces a 200-character query, 16 terms, 10 results, 1,200-character snippets, 8 KiB corpus entries, and 32 KiB serialized tool responses. The stdio frame buffer is capped at 64 KiB. EOF, transport errors, SIGINT, and SIGTERM share an idempotent shutdown path with a one-second cleanup bound; in-flight work is allowed to settle or is abandoned at that bound.

search_tauri_docs (compatibility)

Existing clients can continue to call:

{ "query": "capabilities", "limit": 3 }

It remains supported with its existing response shape and limits. New clients should use resolve_tauri_docs followed by query_tauri_docs.

Application errors are returned with stable discriminated codes such as INVALID_INPUT, INVALID_QUERY, INVALID_LIMIT, and UNSUPPORTED_SNAPSHOT; protocol errors remain MCP protocol errors.

Product boundary

This package is intentionally:

  • read-only;
  • stdio-only;
  • limited to its checked-in corpus; and
  • constrained to official Tauri 2 sources under https://v2.tauri.app/.

It never fetches user-controlled URLs, writes files, executes arbitrary code, controls a Tauri runtime, provides hosted HTTP, authenticates users, or emits telemetry. See docs/architecture.md for the module seams.

Development commands

npm install          # install from package-lock.json

npm run typecheck # TypeScript validation npm run build # compile runtime files to dist/ npm test # run the full Vitest suite npm run lint # ESLint npm run format # format tracked source and documentation npm run format:check # verify formatting without writing npm pack --dry-run # inspect the publish allowlist npm run package:smoke -- /path/to/tauri-docs-mcp-0.1.0.tgz # test a packed install

The pull-request workflow runs the same commands from a clean checkout. To reproduce its package step locally, create a tarball and pass its path to the smoke test:

mkdir -p .tmp/package

TARBALL=$(npm pack --json --pack-destination .tmp/package | node -e "let s=''; process.stdin.on('data', d => s += d).on('end', () => process.stdout.write(JSON.parse(s)[0].filename))") npm run package:smoke -- ".tmp/package/$TARBALL" rm -rf .tmp

See CONTRIBUTING.md for contribution rules and SUPPORT.md for supported use cases. Report vulnerabilities privately as described in SECURITY.md.

Releases and registry

The release workflow runs from a version tag and checks package, immutable corpus metadata, registry metadata, and the pack allowlist before publishing. npm publishing uses provenance/trusted publishing where enabled, then runs a fresh published-package smoke gate. Official MCP Registry publication is a separately protected environment chained after the successful npm job. No release is published from pull requests. See CHANGELOG.md for the release and MCP contract-change process.

Corpus maintenance

The runtime reads only the checked-in generated snapshot under corpus/; it never fetches documentation URLs. The approved manifest records canonical URLs, section hierarchy, Tauri version, source revision/freshness metadata, and a SHA-256 hash for each concise excerpt. The source revision is immutable, so a future snapshot must use a new tauri-2@ directory.

After an approved source review, regenerate and validate deterministically:

npm run ingest:docs

npm run validate:corpus

validate:corpus fails if the manifest is unsafe or incomplete, if content hashes drift, or if the generated artifact differs from its manifest. Source and license attribution is preserved in corpus/NOTICES.md.

Sources

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