Data Science & ML MCP Servers

Mcp Claude

Evaluates functionality using the Claude language model.

Qdrant

Stores and retrieves information from a Qdrant vector database using the Machine Control Protocol.

Postgres Query

Provides a secure, read-only interface for querying PostgreSQL databases within the Model Context Protocol ecosystem.

Mcp-Nlp

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

Alation AI Agent SDK

Enables AI agents to access and leverage metadata from the Alation Data Catalog.

Dlis

Analyzes Digital Log Interchange Standard (DLIS) files to extract channel data and metadata for LLM applications.

Personas

Implements a Model Context Protocol server for managing AI personas.

Prometeo API

Connects to the Prometeo API to access banking information, validate accounts, and query CURP data.

GraphQL Toolkit

Enables Large Language Models to interact dynamically with GraphQL APIs through schema introspection and query execution.

Spring AI

Facilitates the creation of an MCP server leveraging Spring AI for interacting with external tools and resources.

Elasticsearch

Enables interaction with Elasticsearch clusters, allowing for searching documents, analyzing indices, and managing the cluster via a set of tools.

VistAAI

Integrates a self-hosted Ollama AI with VistA model context for querying patient information.

SmartCity

Provides real-time data about traffic, bike-sharing, air quality, and weather in Valencia, Spain.

Verodat

Integrates Verodat's data and AI capabilities into AI systems via the Model Context Protocol.

ChatterBox

Enables AI agents to interact with online meetings and generate meeting summaries.

YFinance Wrapper

Retrieves historical stock data using the yFinance library within an MCP environment.

Zenodo

Integrates with Zenodo records through the Model Context Protocol (MCP) for use in LLM workflows and IDEs.

Yr Weather

Provides Yr weather data as context for Large Language Model (LLM) tools.

Proyecto TFG

Interconnects Large Language Models (LLMs) with data spaces using the Model Context Protocol (MCP).

Baike Render

Renders and analyzes content from Baidu Baike (Chinese Wikipedia), extracting discussion data and providing structured insights.