Data Science & ML Servidores MCP

GitHub Gemini

Integrates GitHub with Google Gemini API for intelligent code assistance and repository management.

Context AI

Enhances AI capabilities by providing rich workspace context, comprehensive code analysis, and intelligent prompts.

Sefaria Jewish Library

Enables Large Language Models to retrieve and reference Jewish texts from the Sefaria library through a standardized interface.

AI Learning

Explores and demonstrates artificial intelligence concepts through proof-of-concept implementations.

Filesystem Backend

Empowers AI agents to securely and controllably interact with the local file system through a defined protocol.

Fictional Cats

Provides AI models access to fictional cat data via the Model Context Protocol.

Weather

Provides real-time weather information and alerts to AI assistants by integrating with the National Weather Service API.

Wikipedia Summary Fetcher

Retrieves Wikipedia summaries for AI assistants using a FastAPI server.

Puch AI Starter

Offers a starter template for Model Context Protocol (MCP) servers, allowing AI assistants like Puch to securely integrate with external tools and data sources.

YouTube

Enables AI assistants to access and analyze comprehensive YouTube channel data and facilitate content strategy.

Arke

Provides AI assistants with semantic search capabilities across the Arke Institute's extensive NARA archives and presidential libraries.

Databricks AI Interface

Enables AI assistants to securely interact with Databricks workspaces by hosting Model Context Protocol prompts and tools on Databricks Apps.

Python Weather

Provides real-time weather data for specified locations via an AI agent-accessible tool built with the Model Context Protocol (MCP).

Time

Provides current time and timezone conversion capabilities to large language models (LLMs) via a Model Context Protocol server.

RateMyProfessors

Integrates with RateMyProfessors.com to fetch professor ratings, reviews, and comments via an MCP client.

Data Server

Perform local file searches using embeddings for semantic understanding.

DevFlow

Provides a persistent, searchable knowledge graph memory system specifically designed for AI agents in software development workflows.

Ollama Tools

Enables natural language interaction with local large language models to trigger custom Python-based tool executions.

Mnemosyne

Models software project elements into a real-time, queryable knowledge graph to provide context, insights, and guardrails for developers and AI agents.

PRIDE

Provides a Model Context Protocol (MCP) server for programmatic access to PRIDE Archive proteomics data.