Data Science & ML Servidores MCP

473 Project

Integrates with the NASA API to provide users with space-related information and imagery.

Swanz

Documents and analyzes LLM safety challenges within the Grey Swan Arena competitions.

Bridge

Integrates Large Language Models with real-world APIs using the Model Context Protocol for standardized AI-API interactions.

CockroachDB by CData

Enables querying of live CockroachDB data within LLMs like Claude Desktop through a Model Context Protocol (MCP) interface.

Strava Integration

Integrates Strava API with the Model Context Protocol SDK for training analysis and recommendations.

Perplexity Insight

Interfaces with the Perplexity AI API using the Model Context Protocol to provide advanced question answering capabilities.

Rag Pipeline Research

Explores Retrieval-Augmented Generation (RAG) and Multi-Cloud Processing (MCP) server integration using free and open-source models.

Sleeper

Provides structured access to Sleeper fantasy sports data for AI integration via the Machine Context Protocol.

Meilisearch

Enables large language models to access Meilisearch's search capabilities via the Model Context Protocol.

Task Portal

Enables self-evolving, general problem-solving through logical reasoning, ethical constraints, and adaptable solutions.

Azure Table by CData

Enables querying of live Azure Table data from Claude Desktop using CData JDBC drivers through a Model Context Protocol (MCP) interface.

Gemini Google Search

Integrates Google Search with Gemini capabilities, offering real-time results and source citations for applications.

Neo

Facilitates AI-driven portfolio rebalancing and token management on the Hedera network.

Multilingual Translator

Provides real-time multilingual text and audio translation using AI, supporting over 20 languages through a modular server design.

Rossum

Provides AI agents with read-only access to Rossum API resources like queues, schemas, and workspaces.

Production Server

Provides a production-ready, extensible template for building Model Context Protocol (MCP) async servers in Python.

Gemini

Enables interaction with Google's Gemini AI models via a Model Context Protocol (MCP) server.

Box Pydantic AI

Demonstrates the integration of Pydantic AI agents with the Box MCP server for secure content access.

Quasar

Executes code written in OpenQASM format for quantum computations.

Calculator

Provides arithmetic calculation capabilities to Large Language Models via the Model Context Protocol.