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mcp-serverTest
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A server implementation demonstrating how AI models can interact with external tools and services through Model Context Protocol, featuring integrations for calculator functions, GitHub repositories, and Google Maps searches.
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使用Java Spring框架的MCP使用实验
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A remote Model Context Protocol server that enables AI assistants to interact with external services through standardized JSON-RPC, providing tools for basic operations and conversation archiving.
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A multi-model platform that integrates RAG (Retrieval-Augmented Generation) with LLMs, supporting OCR via Tesseract and offering both backend API and frontend web interface.
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A Model Context Protocol implementation that enables large language models to call external tools (like weather forecasts and GitHub information) through a structured protocol, with visualization of the model's reasoning process.
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A server implementing Model Coupling Protocol for HDF5 file operations, Slurm job management, hardware monitoring, and data compression.
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MCP Server simplifies the implementation of the Model Context Protocol by providing a user-friendly API to create custom tools and manage server workflows efficiently.
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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.
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A Model Context Protocol Server for Pica, built in TypeScript
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MCP server that provides tools and resources for integrating Hugeicons into various platforms. It implements a Model Context Protocol (MCP) server that helps AI assistants provide accurate guidance for using Hugeicons.
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A server that enables AI assistants like Claude to safely run Python code and access websites, processing data for better AI understanding while providing helpful error messages.
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Future location for a deployable MCP server to turn internal databases, APIs, and more services into MCP tools for internal LLM apps.
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A collection of lightweight servers that expose weather and financial capabilities through the Model Context Protocol, allowing users to access weather alerts, forecasts, and financial market data with technical analysis.
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A server that helps AI models better understand Vite/Nuxt applications, providing enhanced context awareness for development support.
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A Flask-based server that implements Model Context Protocol to enhance LLMs with external tool capabilities via natural language, allowing tools like weather lookup and calculations to be invoked directly in the model's text output.
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A JSON-RPC 2.0 compliant server that enables interaction with HDF5 data files and Slurm job scheduling through standardized API endpoints.
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A TypeScript implementation of Model Context Protocol that provides integration tools for JIRA ticket creation and TODO management, allowing users to manage tasks through natural language interfaces.
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MCP server for AgentPay — the payment gateway for autonomous AI agents. Fund a wallet once, give your agent the key, and it discovers, provisions, and pays for tool APIs on its own. One key, every tool.
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