rig-mcp-server
Rig MCP Server Example (April 7, 2025)
Documentation
๐ Rust MCP Server + Inspector Example: SSE Transport with an Add Tool
credit : https://dev.to/joshmo_dev/using-model-context-protocol-with-rig-m7o
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.
๐ Getting Started
Clone this repo and run with:
cargo runIn a separate terminal start the MCP Inspector with:
npx @modelcontextprotocol/inspector sse http://127.0.0.1:3001/sseYou'll see output like:
Starting MCP inspector...
Proxy server listening on port 3000
New SSE connection
Query parameters: { transportType: 'sse', url: 'http://localhost:3001/sse' }
SSE transport: url=http://localhost:3001/sse, headers=
Connected to SSE transport
Connected MCP client to backing server transport
Created web app transport
Set up MCP proxy
๐ MCP Inspector is up and running at http://localhost:5173 ๐You can now view the web interface at http://localhost:5173
๐ ๏ธ Features
- โ Sets up a custom MCP server using `ServerSseTransport`
- โ Connects a MCP client to the server
- โ Registers a custom tool: `AddTool`, which adds two numbers
- โ Lists registered tools via MCP
- โ Integrates with RIG and prompts an LLM agent using the tool
๐ง Code Overview
#[tool(
name = "Add",
description = "Adds two numbers together.",
params(a = "The first number to add", b = "The second number to add")
)]
async fn add_tool(a: f64, b: f64) -> Result {
Ok(tool_text_content!((a + b).to_string()))
}This defines the `Add` tool that is registered in the MCP server.
The main function sets up:
- Tracing
- The MCP server and transport (SSE)
- A MCP client that initializes and lists available tools
- A RIG agent with OpenAI backend, which uses the MCP tool
The agent then runs a prompt:
let response = agent.prompt("Add 10 + 10").await;๐งช Sample Output
When run successfully, you'll see logs like:
Initialized: Ok(...)
Tools: Ok([...])
Building RIG agent
Prompting RIG agent
Agent response: Some("20")๐งฐ Tech Stack
- ๐ฆ Rust with tokio
- ๐ก SSE transport from `mcp_core`
- ๐ง MCP server/client architecture
- ๐ค RIG agent with OpenAI model
- ๐ MCP Inspector web interface
๐ฆ Dependencies
Make sure you have these in your `Cargo.toml`:
[dependencies]
tokio = { version = "1", features = ["full"] }
anyhow = "1"
serde_json = "1"
mcp_core = "..."
mcp_core_macros = "..."
rig = "..."> Replace `...` with the appropriate versions based on your environment.
๐ Inspector GUI
Visit http://localhost:5173 to view and interact with the MCP Inspector UI.
โ Test Log Sample
Query parameters: { transportType: 'sse', url: 'http://localhost:3001/sse' }
Connected to SSE transport
Connected MCP client to backing server transport
Set up MCP proxy
Received message for sessionId cdd4a8be-57e2-44e3-9b81-3df300e86f22๐ฌ Questions or Feedback?
Feel free to open an issue or start a discussion!
// Code blockFrequently asked questions
What is rig-mcp-server?
rig-mcp-server is Rig MCP Server Example (April 7, 2025)
How do I install rig-mcp-server?
Open the GitHub repository and follow its README. Most MCP servers are added to your client's MCP config, then called by your agent.
Is rig-mcp-server open source?
Yes โ it is hosted on GitHub at https://github.com/RGGH/rig-mcp-server and has 7 stars.
Related MCP tools
๐ Terraform Model Context Protocol (MCP) Tool - An experimental CLI tool that enables AI assistants to manage and operate Terraform environments.
๐งฉ MCP Gateway - A lightweight gateway service that instantly transforms existing MCP Servers and APIs into MCP servers with zero code changes.
MCP Aggregator, Orchestrator, Middleware, Gateway in one docker TypeScript-based implementation. Trusted by 1400+ developers.
Model Context Protocol with Neo4j Python-based implementation. Trusted by 700+ developers. Trusted by 700+ developers. Trusted by 700+ developers.
Fantasy Premier League Kotlin/Compose Multiplatform sample for the Model Context Protocol. Enhance AI assistants with powerful integrations.
Flux Operator is a Kubernetes controller for managing the lifecycle of Flux CD for the Model Context Protocol. Enhance AI assistants with powerful integrations.
Run your own MCP server? See who uses it and what to fix.
Measure it with TrackMCP