vueuse-mcp
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@vueuse-mcpfind a composable that handles keyboard events"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
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_composablesorsuggest_composableto find relevant composablesCall
get_composable_docsto read the full documentation foruseMouseWrite 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.
Related MCP server: nuxt-mcp / vite-plugin-mcp
Quick Start
Claude Code
claude mcp add vueuse-mcp -- npx vueuse-mcpCodex CLI
Add to your MCP config:
{
"servers": {
"vueuse": {
"command": "npx",
"args": ["vueuse-mcp"]
}
}
}OpenCode
Add to your opencode.json:
{
"mcp": {
"vueuse": {
"command": "npx",
"args": ["vueuse-mcp"]
}
}
}Available Tools
Tool | Description |
| Search by name, keyword, or concept. Returns ranked results with descriptions. |
| Get full docs for a composable — signature, types, options, examples, related functions. |
| Describe a use case in natural language and get ranked suggestions with trade-offs. |
| 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:
npm run scrape && npm run buildSet a GITHUB_TOKEN environment variable to avoid rate limits during scraping. See .env.example.
Development
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 serverContributing
See CONTRIBUTING.md for how to add tools, update the scrape pipeline, and submit PRs.
This server cannot be installed
Maintenance
Resources
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Looking for Admin?
If you are the server author, to access and configure the admin panel.
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