Vueuse MCP

Search, browse, and get suggestions for VueUse composables

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to Cursor Add to VS Code

Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag — we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Choose your client or environment

Target File:~/Library/Application Support/Claude/claude_desktop_config.json

claude_desktop_config.json

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

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Documentation Overview

VueUse MCP

MCP server that gives AI coding agents instant access to VueUse documentation — search composables, read docs, and get suggestions.

How It Works When You Code

This is an MCP (Model Context Protocol) server. When you connect it to an AI coding agent like Claude Code, the agent can automatically look up VueUse documentation while helping you write code.

For example, if you ask "help me track the mouse position in Vue," the agent will:

Call search_composables or suggest_composable to find relevant composables
Call get_composable_docs to read the full documentation for useMouse
Write code using the correct API, options, and types — without you needing to look anything up

You don't need to manually call any tools. The agent decides when to use them based on your questions.

Quick Start

Claude Code

Terminal

claude mcp add vueuse-mcp -- npx vueuse-mcp

Codex CLI

Add to your MCP config:

config.json

{
  "servers": {
    "vueuse": {
      "command": "npx",
      "args": ["vueuse-mcp"]
    }
  }
}

OpenCode

Add to your opencode.json:

config.json

{
  "mcp": {
    "vueuse": {
      "command": "npx",
      "args": ["vueuse-mcp"]
    }
  }
}

Available Tools

Tool	Description
`search_composables`	Search by name, keyword, or concept. Returns ranked results with descriptions.
`get_composable_docs`	Get full docs for a composable — signature, types, options, examples, related functions.
`suggest_composable`	Describe a use case in natural language and get ranked suggestions with trade-offs.
`list_categories`	List all categories with composable counts. Optionally filter by package.

Keeping Data Fresh

The composable data is scraped from the VueUse GitHub repo. To update:

Terminal

npm run scrape && npm run build

Set a GITHUB_TOKEN environment variable to avoid rate limits during scraping. See .env.example.

Development

bash

git clone https://github.com/kovoor/vueuse-mcp.git
cd vueuse-mcp
npm install
npm run scrape    # fetch composable data from GitHub
npm run build     # compile TypeScript
npm start         # run the server

Contributing

See CONTRIBUTING.md for how to add tools, update the scrape pipeline, and submit PRs.

Read the full README →View source on GitHub →

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Frequently Asked Questions about Vueuse MCP

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "vueuse-mcp": { "command": "npx", "args": ["-y", "vueuse-mcp"] } }

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Technical Specs & Signals

CategoryDeveloper Tools

36Quality signal: Fair · 36/100How this signal is calculated ▾

Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20

Documentation & tools15/30

Adoption & activity2/15

Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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More in 💻 Developer Tools →Best MCP servers for Developers →Alternatives to Vueuse MCP →Install in Claude Desktop Install in Cursor Install in VS Code

Documentation Overview

VueUse MCP

MCP server that gives AI coding agents instant access to VueUse documentation — search composables, read docs, and get suggestions.

How It Works When You Code

This is an MCP (Model Context Protocol) server. When you connect it to an AI coding agent like Claude Code, the agent can automatically look up VueUse documentation while helping you write code.

For example, if you ask "help me track the mouse position in Vue," the agent will:

Call search_composables or suggest_composable to find relevant composables
Call get_composable_docs to read the full documentation for useMouse
Write code using the correct API, options, and types — without you needing to look anything up

You don't need to manually call any tools. The agent decides when to use them based on your questions.

Quick Start

Claude Code

Terminal

claude mcp add vueuse-mcp -- npx vueuse-mcp

Codex CLI

Add to your MCP config:

config.json

{
  "servers": {
    "vueuse": {
      "command": "npx",
      "args": ["vueuse-mcp"]
    }
  }
}

OpenCode

Add to your opencode.json:

config.json

{
  "mcp": {
    "vueuse": {
      "command": "npx",
      "args": ["vueuse-mcp"]
    }
  }
}

Available Tools

Tool	Description
`search_composables`	Search by name, keyword, or concept. Returns ranked results with descriptions.
`get_composable_docs`	Get full docs for a composable — signature, types, options, examples, related functions.
`suggest_composable`	Describe a use case in natural language and get ranked suggestions with trade-offs.
`list_categories`	List all categories with composable counts. Optionally filter by package.

Keeping Data Fresh

The composable data is scraped from the VueUse GitHub repo. To update:

Terminal

npm run scrape && npm run build

Set a GITHUB_TOKEN environment variable to avoid rate limits during scraping. See .env.example.

Development

bash

git clone https://github.com/kovoor/vueuse-mcp.git
cd vueuse-mcp
npm install
npm run scrape    # fetch composable data from GitHub
npm run build     # compile TypeScript
npm start         # run the server

Contributing

See CONTRIBUTING.md for how to add tools, update the scrape pipeline, and submit PRs.