Yes, Svelte Llm is free to use.

How do I install Svelte Llm?

Svelte Llm supports both local and remote installation. For local use, install it via the provided package manager and add the configuration to your AI app. For remote access, add the server URL to your MCP configuration.

What AI apps work with Svelte Llm?

Svelte Llm uses the Model Context Protocol (MCP) and works with any MCP-compatible AI app, including Claude, ChatGPT / Codex, Gemini, Copilot, Cursor, and more.

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Svelte Llm MCP Server

by Khromov

Developer ToolsLow Risk10.0MCP RegistryLocalRemote

Free

Server data from the Official MCP Registry

An MCP server that provides access to Svelte 5 and SvelteKit documentation

About

An MCP server that provides access to Svelte 5 and SvelteKit documentation

Remote endpoints: streamable-http: https://svelte-llm.stanislav.garden/mcp/mcp sse: https://svelte-llm.stanislav.garden/mcp/sse

Security Report

10.0

Low Risk10.0Low Risk

Valid MCP server (1 strong, 1 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry.

7 files analyzed · No issues found

Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.

Permissions Required

This plugin requests these system permissions. Most are normal for its category.

file_system

Check that this permission is expected for this type of plugin.

HTTP Network Access

Connects to external APIs or services over the internet.

How to Install & Connect

Available as Local & Remote

This plugin can run on your machine or connect to a hosted endpoint. during install.

Documentation

View on GitHub

From the project's GitHub README.

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

Run database migrations: visit http://localhost:5173/api/migrate in your browser after starting the dev server.

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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