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Getting Started

Getting Started

Local
github.com/jherrDeveloper Tools9Updated 73w ago
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About Getting Started

Getting Started is a minimal TanStack Start MCP server example. It shows how to run the application and connect to its local SSE endpoint using `mcp-remote`.

Key features

  1. 01Run with `pnpm i` and `pnpm dev`
  2. 02Expose a local SSE endpoint
  3. 03Connect through `mcp-remote`

Use cases

  1. 01Try a TanStack Start MCP example locally
  2. 02Configure an MCP connection to the local SSE endpoint

MCP support

The example provides a local `/api/sse` endpoint and documents connecting to it with `mcp-remote`.

#mathgpt#math-solver#math-assistant

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
  "mcpServers": {
    "ts": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote"
      ]
    }
  }
}
Run commandnpx -y mcp-remote

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
npmmcp-remote

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

MCP TanStack Example

Getting Started

To run this application:

pnpm i
pnpm dev

"remote-example": {
  "command": "npx",
  "args": [
    "mcp-remote",
    "http://localhost:3000/api/sse"
  ]
}

Vercel uses the same Transport as this.

No problems using mcp-remote in Claude:

Running in Claude

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.