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Why this server?
Provides a foundation for creating custom Model Context Protocol servers, including an example BMI calculator.
Why this server?
Facilitates the invocation of AI models from providers like Anthropic, OpenAI, and Groq, enabling users to manage and configure large language model interactions seamlessly.
Why this server?
A Python-based MCP server that integrates OpenAPI-described REST APIs into MCP workflows, enabling dynamic exposure of API endpoints as MCP tools.
Why this server?
A system that manages context for language model interactions, allowing the model to remember previous interactions across multiple independent sessions using Gemini API.
Why this server?
A proxy service that connects MCP clients to remote MCP servers, allowing users to use server keys from MCP.so to access remote resources without running their own server.
Why this server?
MCP Server provides a simpler API to interact with the Model Context Protocol by allowing users to define custom tools and services to streamline workflows and processes.
Why this server?
A starter template for building Model Context Protocol (MCP) servers, enabling developers to create and add custom tools that can be integrated with Claude Desktop.
Why this server?
An unofficial JavaScript SDK to create customized servers for the Model Context Protocol, allowing definition of prompts, resources, and tools for tailored interactions.
Why this server?
A streamlined foundation for building Model Context Protocol servers in Python, designed to make AI-assisted development of MCP tools easier and more efficient.
Why this server?
A TypeScript template for creating Model Context Protocol servers that enable AI models to utilize external tools, including example operations and simple number addition functionality.