Data Science & ML Servidores MCP

Web Reader

Enables large language models to effortlessly retrieve and parse web content, converting it into clean Markdown format.

Gemini AI Protocol

Establishes a Model Control Protocol server with integrated Google Gemini LLM capabilities for AI application development.

Amazon Q Index

Streamlines generative AI application integration by leveraging Amazon Q Business' cross-app index.

API Aggregator

Aggregates external API data, including weather, news, and financial information, into a single, consistent interface for AI agents and large language models.

Emby

Connects an Emby media server to an AI client, enabling voice or text control over your personal media collection.

Jupyter

Enables interaction between Model Context Protocol (MCP) clients and Jupyter notebooks running in JupyterLab.

Claude Repl

Augments Claude with Python code execution, shell command capabilities, and file manipulation.

Llm-Experimentations

Explores the capabilities of Large Language Models through various experiments using ChatGPT and French IGN APIs.

Ethereum

Facilitates interaction with the Ethereum blockchain using the Model Context Protocol.

StockScreener

Analyzes stock data locally using a language model and web scraping.

MonkDB

Facilitates data management and interaction with AI agents as a server for MonkDB.

Akab

Provides a production-grade A/B testing framework with three levels of scientific rigor for comparing large language model (LLM) outputs.

Jena Connector

Connects AI agents to Apache Jena for SPARQL query execution and RDF data manipulation.

Finance

Provides real-time financial data to Large Language Models through the Model Context Protocol.

Model Context

Provides a standardized way to connect AI models to different data sources and tools by implementing the Model Context Protocol.

Copilot Studio Integration

Facilitates the deployment and integration of a Model Context Protocol server with Microsoft Copilot Studio.

Café

Facilitates simulated technical discussions among AI agents to aid in problem-solving and brainstorming.

Senechal

Provides a standardized interface for Large Language Models to access health data from the Senechal API.

Valyu

Enables Large Language Models to search proprietary and web sources for information and submit feedback on transactions via the Valyu Network API.

Dummy

Provides a functional example of a FastMCP server for learning Model Context Protocol integration.