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Why this server?
Provides a foundation for creating custom Model Context Protocol servers that can integrate with AI systems, offering a basic example implementation.
Why this server?
A Model Context Protocol (MCP) server that provides mathematical calculations and operations using NumPy.
Why this server?
A cryptocurrency price query service based on Model Context Protocol.
Why this server?
A multi-tenant service that automatically monitors Supabase database changes, generates OpenAI embeddings, and maintains synchronized vector search capabilities for each tenant's projects using Model Context Protocol.
Why this server?
A set of tools enabling AI agents to interact with Canvas LMS via Model Context Protocol.
Why this server?
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 systematic reasoning MCP server implementation for Claude Desktop with beam search and thought evaluation capabilities
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 system that manages context for language model interactions, allowing the model to remember previous interactions across multiple independent sessions using Gemini API.