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qualityA simple server implementing the Model Context Protocol (MCP) that echoes messages back, designed for testing MCP clients.
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Python
MIT License
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Why this server?
A simple Model Context Protocol server that echoes messages back, designed for testing MCP clients, which is helpful for a Proof of Concept.
Why this server?
A Model Context Protocol server that provides greeting tools, resources, and prompts, demonstrating client-server interaction using TypeScript, good for understanding MCP basics.
Why this server?
A tutorial MCP server implementation that provides country information, demonstrating the Model Context Protocol for building AI-powered applications with external service integration capabilities, useful as a simple example.
Why this server?
A Node.js implementation of the Model Context Protocol server using SQLite, providing a npx-based alternative for environments lacking Python's UVX runner, easy to deploy and use.
Why this server?
A minimal MCP server that provides a 'hello' tool using the fastMCP framework, good for quick setup and understanding the basics.
Why this server?
A simple server that provides basic arithmetic operations (addition, subtraction, multiplication, division) as tools that can be called by Large Language Models through the Model Context Protocol, useful as a simple example.
Why this server?
A beginner-friendly MCP-inspired JSON-RPC server built with Node.js, offering basic client-server interaction through an 'initialize' capabilities handshake and an 'echo' function, good for understanding basic MCP concepts.
Why this server?
A simple server that provides basic arithmetic operations (addition, subtraction, multiplication, division) as tools that can be called by Large Language Models through the Model Context Protocol.
Why this server?
A stateless Model Context Protocol server that implements a simple echo functionality with resource, tool, and prompt components, enabling LLMs to echo back messages through standardized MCP interactions, easy to set up and use.
Why this server?
A template for building Model Context Protocol servers that allow AI assistants to interact with custom data and services through queryable resources and specialized tools, useful as a starting point.