What does this project do exactly?
It sets up an MCP server with an SSE transport, registers a tool to add two numbers, connects an MCP client, and prompts a RIG agent (using OpenAI) to invoke that tool.
@RGGH
Basic information
Rig MCP Server Example (April 7, 2025)
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"rig-mcp-server": {
"command": "npx",
"args": [
"@modelcontextprotocol/inspector",
"sse",
"http://127.0.0.1:3001/sse"
]
}
}
}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 project demonstrates how to set up an MCP (Model Context Protocol) server and client using Server-Sent Events (SSE) for communication. It includes a simple tool that adds two numbers and integrates with the RIG agent for LLM prompting.
Clone the repository and run cargo run. In a separate terminal, start the MCP Inspector with npx @modelcontextprotocol/inspector sse http://127.0.0.1:3001/sse. Then open http://localhost:5173 in a web browser to view the Inspector UI.
ServerSseTransportAdd tool that adds two numbersIt sets up an MCP server with an SSE transport, registers a tool to add two numbers, connects an MCP client, and prompts a RIG agent (using OpenAI) to invoke that tool.
Rust with tokio, anyhow, serde_json, `mcp_core`, `mcp_core_macros`, and `rig`. The MCP Inspector requires Node.js to run `npx`.
Server-Sent Events (SSE) on port 3001, with the inspector proxy listening on port 3000 and a web UI on port 5173.
Yes, the RIG agent uses an OpenAI model, so a valid OpenAI API key must be set in the environment.
After starting the server and inspector, visit http://localhost:5173 to see the tool list and invoke the `Add` tool. The agent also runs a prompt `"Add 10 + 10"` and prints the response.

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