svelte-llm-mcp

Connect your AI coding assistant directly to up-to-date Svelte 5 and SvelteKit documentation via this MCP server.

CommunityOnlineNo sign-inGlobalFreeRead-only

What it can do

  • List Sections: Lists all available Svelte 5 and SvelteKit documentation sections in a structured format. Returns sections as a list of "* title: [section_title], path: [file_path]" - you can use eithe
  • Get Documentation: Retrieves full documentation content for Svelte 5 or SvelteKit sections. Supports flexible search by title (e.g., "$state", "routing") or file path (e.g., "docs/svelte/state.md"). C

What data it sees

Do you need an account

No: the server works without sign-in

Connect your AI coding assistant directly to up-to-date Svelte 5 and SvelteKit documentation via this MCP server.

How to connect

How to connect svelte-llm-mcp to Claude

The server address to paste into Claude settings:

https://svelte-llm-mcp--khromov.run.tools

  1. Open Claude (claude.ai or the desktop app).
  2. Go to Settings → Connectors.
  3. Click Add custom connector.
  4. Paste the server address copied below into Remote MCP server URL and click Add.
  5. In a chat, click + → Connectors and switch the new connector on.

Custom connectors are available on Free, Pro, Max, Team and Enterprise plans (Free is limited to one). On Team and Enterprise an organization Owner adds the connector first under Organization settings → Connectors.

Authorization

After you click Add, a sign-in window for the service opens. Sign in with your own account and approve access. Claude never sees your password.

How to connect svelte-llm-mcp to ChatGPT

The server address to paste into ChatGPT settings:

https://svelte-llm-mcp--khromov.run.tools

  1. Open ChatGPT in a browser (chatgpt.com). A Plus, Pro, Business, Enterprise or Edu plan is required.
  2. Turn on developer mode once: Settings → Apps → Advanced settings → Developer mode.
  3. Open Settings → Connectors and click Create.
  4. Fill in the form: Name (anything), Description (one line about what the service does), MCP server URL (copy it below).
  5. Under Authentication choose OAuth if the service requires sign-in, otherwise None. Click Create.
  6. In a new chat open + → Apps/Connectors and enable the connector.

OpenAI has renamed this section before (Connectors → Apps/Plugins). If the label differs, search settings for "developer mode". On Business/Enterprise workspaces an admin must allow custom connectors first.

Authorization

On first use ChatGPT opens the service's sign-in window. Sign in and approve access.

How to connect svelte-llm-mcp to Cursor

The server address to paste into Cursor settings:

https://svelte-llm-mcp--khromov.run.tools

Fastest: click Open in Cursor below and confirm the prompt.

Manually:

  1. In Cursor open Settings → Cursor Settings → MCP and click Add new global MCP server.
  2. Paste the JSON copied below into ~/.cursor/mcp.json (per project: .cursor/mcp.json in the repo root).
  3. Save the file. The server appears in the MCP list; authorize it there if asked.

Authorization

If the service needs sign-in, an authorize button appears next to the server in the MCP list.

Server tool list (2)

Raw names from tools/list. Only developers need these.

list_sectionsLists all available Svelte 5 and SvelteKit documentation sections in a structured format. Returns sections as a list of "* title: [section_title], path: [file_path]" - you can use either the title or path when querying a specific section via the get_documentation tool. Always run list_sections first for any query related to Svelte development to discover available content.
get_documentationRetrieves full documentation content for Svelte 5 or SvelteKit sections. Supports flexible search by title (e.g., "$state", "routing") or file path (e.g., "docs/svelte/state.md"). Can accept a single section name or an array of sections. Before running this, make sure to analyze the users query, as well as the output from list_sections (which should be called first). Then ask for ALL relevant sections the user might require. For example, if the user asks to build anything interactive, you will need to fetch all relevant runes, and so on.