Data Science & ML MCP Servers

Rag Integration

Connects a Retrieval-Augmented Generation (RAG) application to Open-WebUI via the Model Context Protocol (MCP).

CoinGecko API

Provides a simplified and configurable interface to the CoinGecko cryptocurrency data API via a Node.js Express server.

Odbc

Connects large language model clients to ODBC data sources, enabling data analysis and insight generation.

Ytrnscrpt

Enables Claude to fetch and analyze YouTube video transcripts.

Gemini

Enables the use of Google's Gemini AI models through Claude or other Model Context Protocol (MCP) clients.

Weather

Retrieves 5-day weather forecasts for locations in Canada using latitude and longitude coordinates.

Chainlit Demo

Facilitates testing Model Context Protocol (MCP) Servers using Chainlit.

Geo Location

Retrieves user geolocation information for integration with large language models through the Model Context Protocol (MCP).

Sage 200

Enables large language models to query live Sage 200 data using natural language, leveraging CData JDBC Drivers.

MongoDB

Enables AI assistants to perform comprehensive MongoDB database operations through a standardized Model Context Protocol interface.

Trello Task Manager

Provides LLM-driven task management capabilities by integrating with Trello as an MCP Server.

Indigo

Integrates AI assistants with the Indigo Home Automation system, enabling natural language control and data access.

Contraption Company

Provides an experimental Model Context Protocol (MCP) server for Contraption Company's essays, enabling semantic search and content access.

Pitstop

Delivers comprehensive Formula 1 championship standings, race analytics, and telemetry data to your AI assistant.

Black Forest Labs

Empowers AI assistants to generate images using the Black Forest Labs API and FLUX models.

Scientific Computation

Performs advanced scientific computations, including comprehensive linear algebra, vector calculus, and data visualization functions.

ECU Simulator

Surfaces vehicle CAN/OBD data to large language models by simulating ECUs on a virtual bus, decoding with DBCs, and exposing tools via Server-Sent Events.

CISA Threat Intelligence

Integrates CISA's Known Exploited Vulnerabilities (KEV) catalog and advanced threat intelligence into AI agent workflows for sophisticated cybersecurity analysis.

ToolBartender

Transforms natural language goals into safe, structured execution plans for orchestrating multiple Model Context Protocol (MCP) tools.

Structured Repo Context

Indexes codebases into semantic, searchable chunks using AST parsing, Tree-sitter, and embeddings, making code comprehensible for AI assistants and LLMs.