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Implements a professional Model Context Protocol (MCP) server for integrating various database systems through a flexible, plugin-based architecture.
Provides a simple example of using the FastMCP framework to develop a Shunfeng Express (SF Express) logistics query service.
Provides Large Language Models (LLMs) with real-time context on Massachusetts beaches and current conditions.
Centralize, secure, and orchestrate over 100 Model Context Protocol (MCP) servers, enabling AI assistants to access them through a unified multi-tenant gateway.
Provides a lightweight and extendable Model Context Protocol (MCP) server toolkit for building custom tools that integrate with AI assistants.
Provides access to municipal building codes and compliance data, assisting with professional regulatory adherence.
Manages Todoist tasks, projects, labels, and productivity workflows through an MCP server.
Queries JFK documents using the Archives API.
Provides real-time access to available NFZ (National Health Fund) appointments and healthcare services in Poland.
Manages a todo list with support for both standard I/O (stdio) and HTTP transports via the Model Context Protocol.
Provides Cargo project metadata information using the Model Context Protocol (MCP).
Connects AI clients to an urban intelligence knowledge graph for civic problem-solving through natural language queries.
Provides Model Context Protocol (MCP) tools to query timetables (EDT) from the University of Caen (Unicaen).
Facilitates interactive chat with AI models, integrating document retrieval, command-based prompts, and extensible tools via the Model Context Protocol.
Exposes read-only access to your Vivint home security system's data through a FastMCP server over HTTP.
Serves comprehensive data about Colombia, including departments, regions, and cities, via a Model Context Protocol server for educational and practical implementations.
Connects LLM applications to external data sources and tools across multiple programming languages.
Enables search functionality via the Tavily API within the Model Context Protocol framework.
Sends STUN Binding Requests (RFC8489) and returns the results via MCP.
Enable AI models to seamlessly interact with any external service or data source through a unified connectivity layer.
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