This MCP server in Rust demonstrates setting up an MCP with Server-Sent Events (SSE), registering custom tools like an adder, and integrating with RIG for prompting LLM models. It provides a framework for model context protocols, supporting real-time communication and tool invocation, suitable for advanced AI applications.
Added on:
Created by:
Apr 09 2025
This MCP server in Rust demonstrates setting up an MCP with Server-Sent Events (SSE), registering custom tools like an adder, and integrating with RIG for prompting LLM models. It provides a framework for model context protocols, supporting real-time communication and tool invocation, suitable for advanced AI applications.
Added on:
Created by:
Apr 09 2025
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What is Rust MCP Server?
The Rust MCP Server is a comprehensive implementation of the Model Context Protocol (MCP) using Rust, designed to facilitate real-time communication through SSE transport. It supports registering custom tools such as an addition tool, integrates with the RIG agent for prompting large language models, and allows for high-performance, asynchronous operations. The server provides a web interface for managing tools and interactions, making it suitable for developers building AI-powered systems requiring dynamic tool invocation and seamless LLM integration.
Who will use Rust MCP Server?
- AI developers
- Research engineers
- MCP protocol researchers
- AI tool developers
How to use the Rust MCP Server?
- Clone the repository
- Run 'cargo run' to start the MCP server
- Launch the MCP Inspector with 'npx @modelcontextprotocol/inspector sse
' - Use the web interface to register or invoke tools
- Integrate with RIG agent for LLM prompting
Rust MCP Server's Core Features & Benefits
The Core Features
- Setup MCP server with SSE transport
- Register custom tools like AddTool
- Connect MCP client to server
- Integrate with RIG for LLM prompting
The Benefits
- Real-time communication with SSE
- Flexible tool registration and invocation
- Seamless RIG and LLM integration for AI workflows
Rust MCP Server's Main Use Cases & Applications
- AI tool orchestration and testing
- Real-time LLM prompt handling
- Research and development of MCP protocols
- Building AI assistants with custom tools
FAQs of Rust MCP Server
Developer
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