PluginBench
MCP Server
Stale
MIT

garden.stanislav.svelte-llm/svelte-llm-mcp MCP Server

garden.stanislav.svelte-llm/svelte-llm-mcp

Access Svelte 5 and SvelteKit documentation through an MCP server for AI assistants.

What is the garden.stanislav.svelte-llm/svelte-llm-mcp MCP server?

The svelte-llm-mcp server is an MCP (Model Context Protocol) endpoint that provides AI assistants with access to Svelte 5 and SvelteKit documentation. It enables Claude, Cursor, and other AI tools to retrieve and reference official Svelte framework documentation during conversations and code generation.

This MCP server bridges AI assistants with comprehensive Svelte 5 and SvelteKit documentation, allowing you to ask questions about framework features, syntax, and best practices directly within your AI chat or IDE. It's useful for developers building Svelte applications who want AI assistance grounded in official documentation.

How to install garden.stanislav.svelte-llm/svelte-llm-mcp

Copy-paste configuration for popular MCP clients.

transport: http
Config generated by PluginBench — verify against the source before use.
~/.cursor/mcp.json
{
  "mcpServers": {
    "svelte-llm-mcp": {
      "url": "https://svelte-llm.stanislav.garden/mcp/mcp"
    }
  }
}

Tools & capabilities

Tools this server exposes to the agent.

  • Documentation Access — Retrieve Svelte 5 and SvelteKit documentation content for AI assistants

Use cases

  • Get AI-assisted answers to Svelte 5 and SvelteKit questions grounded in official docs
  • Generate Svelte components with accurate framework knowledge
  • Learn SvelteKit routing, stores, and advanced patterns through AI conversation
  • Debug Svelte-specific issues with documentation-backed explanations
  • Accelerate Svelte development with AI code suggestions informed by framework docs

garden.stanislav.svelte-llm/svelte-llm-mcp MCP server FAQ

What is the svelte-llm-mcp server?

It's an MCP endpoint that gives AI assistants like Claude and Cursor access to Svelte 5 and SvelteKit documentation, enabling documentation-grounded assistance for Svelte development.

Is this server free to use?

The public endpoint at svelte-llm.stanislav.garden is available for use. You can also self-host by cloning the repository and running it locally with Docker.

How do I connect it to Claude Desktop or Cursor?

Use the remote endpoint URL: https://svelte-llm.stanislav.garden/mcp/mcp (Streamable HTTP) or https://svelte-llm.stanislav.garden/mcp/sse (SSE for older clients). Configure it in your MCP settings.

Do I need authentication?

The public endpoint requires no authentication. For self-hosting, you'll need a GitHub token with public_repo permissions and a PostgreSQL database.

Can I self-host this server?

Yes. Clone the repository, create a .env file with GITHUB_TOKEN and DB_URL, run docker-compose up, then npm install and npm run dev.

What documentation does it cover?

The server provides access to Svelte 5 and SvelteKit official documentation for use by AI assistants.

README (reference)

Source of truth, from the repository.

svelte-llm

LLM presets and MCP for Svelte 5 and SvelteKit. Visit the site at svelte-llm.stanislav.garden.

MCP Endpoint

This service provides an MCP (Model Context Protocol) endpoint for use with AI assistants:

  • Streamable HTTP (Claude Desktop and most other clients): https://svelte-llm.stanislav.garden/mcp/mcp
  • SSE (Older clients that don't support Streamable): https://svelte-llm.stanislav.garden/mcp/sse

Setup

  • Create a .env file with the content:
    GITHUB_TOKEN=
    DB_URL=postgres://admin:admin@localhost:5432/db
    
  • Create a Classic GitHub token. It must have public_repo permissions.
  • Enter this in the .env file.
  • Run docker-compose up
  • Run:
nvm use
npm i
npm run dev

You can also visit http://localhost:5173/admin to see all the "hidden" endpoints (default password = "secret")

Debug MCP

NODE_TLS_REJECT_UNAUTHORIZED=0 NODE_OPTIONS="--insecure-http-parser" npx @modelcontextprotocol/inspector

http://127.0.0.1:6274

You can also use GitHub Copilot in Agent mode to try the agent locally, see .vscode/mcp.json for info on how that works.

Misc

OG image from https://dynamic-og-image-generator.vercel.app/

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