How do I run the MCP server locally?
Clone the repository, run `npm install`, then start the development server with `npm run dev`. It will be available at `http://localhost:8888/mcp`.
@memextech
Basic information
A barebones MCP server template for Netlify deployment
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"my-mcp": {
"command": "npx",
"args": [
"mcp-remote@next",
"https://your-site-name.netlify.app/mcp"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
Fetch the live tool list by running this server in a temporary sandbox using the button above.
This is a minimal implementation of a Model Context Protocol (MCP) server designed to be deployed to Netlify. It exposes tools and resources for AI assistants and includes a FastAPI client that provides a REST API for testing and integration.
Install dependencies with npm install, then start the development server with npm run dev. Test locally using the MCP Inspector (npx @modelcontextprotocol/inspector npx mcp-remote@next http://localhost:8888/mcp) or direct curl commands. Deploy by connecting the repository to Netlify and configuring the publish directory as public. Configure Claude Desktop by adding mcp-remote@next with the deployed URL to its MCP settings.
Clone the repository, run `npm install`, then start the development server with `npm run dev`. It will be available at `http://localhost:8888/mcp`.
Push the repository to GitHub, connect it to Netlify, and set the publish directory to `public` with no build command.
In Claude Desktop settings, edit the MCP configuration file to include a server entry using `npx mcp-remote@next` and the deployed URL (e.g., `https://your-site-name.netlify.app/mcp`), then restart Claude Desktop.
Yes, edit the `getServer` function in `netlify/functions/mcp-server.js` following the existing examples. Refer to the Model Context Protocol documentation for guidance.
Node.js and npm for the MCP server. Python with `uvicorn` and FastAPI are needed if using the MCP client locally.
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