Data Science & ML MCPサーバー

Example

Explores the Model Context Protocol (MCP), its concepts, operation, and potential future impact on AI tool integration.

Model-Context-Protocol

Provides a basic implementation of a Model Context Protocol server for educational purposes.

Mcp-Nlp

Provides natural language processing capabilities using the Model Context Protocol within a FastMCP application.

Weather

Provides weather data, likely for use within a larger system.

N2YO Satellite Tracker

Provides real-time satellite tracking data, including TLE data, positions, and pass predictions, via an MCP server.

Robot

Provides a Model Context Protocol server for processing Web Ontology Language (OWL) templates generated by the Robot tool.

Multi-Agent Platform

Facilitates a modular, production-ready multi-agent system for advanced math, research, weather, and summarization tasks.

Seamless Sign-ups by Pallavi

Automates user sign-ups and data management through an intelligent, conversational AI interface.

Time

Provides real-time clock and timezone information for large language models.

Weather

Integrates real-time weather data into large language models and Model Context Protocol clients.

Goodbook

Enables AI assistants to query and retrieve information from PDF files containing food service standards and preparation guidelines.

Server Starter

Provides a minimal, production-ready TypeScript starter template for building Model Context Protocol (MCP) servers.

Productivity Agent

Automates the generation of time-blocked daily task lists by intelligently prioritizing calendar events, new tasks, and outstanding items.

FastAPI Integration

Wraps a FastAPI application as an MCP server, enabling its endpoints to be called as tools directly via Gemini CLI.

GitHub Documentation Agent

Provides intelligent answers to questions about GitHub documentation using local LLMs and vector embeddings.

Model Orchestrator

Unify agent wrappers and tool servers through a modular Go implementation of the Model Context Protocol, offering a single OpenAI-compatible API.

DocuExtract

Extracts key information from mortgage documents and answers policy questions using AI-powered retrieval-augmented generation.

Swarm

Coordinates multiple AI agents into a synchronized team, enabling conflict-free collaboration on complex projects.

ContextHub

Coordinates multiple AI agents across software development lifecycles using a deterministic server architecture.

wbgapi360

Access World Bank data effortlessly, leveraging a powerful Python client to bridge econometrics and AI for seamless analysis.