Discover our curated collection of MCP servers for data science & ml. Browse 6531servers and find the perfect MCPs for your needs.
Retrieves requirement and defect data from the TAPD platform to support AI client applications.
Enables AI agents to interactively interrogate database schema metadata.
Provides a Model Context Protocol (MCP) server to integrate Joe Sandbox Cloud's advanced analysis capabilities with MCP-compatible applications.
Enables access to Hanzo AI and platform capabilities through the Model Context Protocol (MCP).
Provides an unofficial Model Context Protocol server for accessing Open Targets platform data, facilitating gene-drug-disease associations research.
Provides remote access to ChromaDB, enabling AI assistants like Claude to perform semantic search and vector database operations from various devices.
Enables Claude Desktop to access and analyze open datasets from Socrata-powered government data portals.
Empower ESP32 devices to directly interact with Large Language Models using the Model Context Protocol.
Processes large documents in multiple formats using intelligent chunking and advanced retrieval-augmented generation (RAG) capabilities.
Analyzes web content and adds it to a knowledge base for question answering.
Provides a Model Context Protocol server for real-time and historical data from NSE and BSE India stock market APIs via Streamable HTTP.
Enables AI assistants to access real-time web data and perform deep content extraction through native tool integration.
Provides real-time Caltrain departure information using GTFS data via the Model Context Protocol.
Search and download academic papers from various platforms, including arXiv, PubMed, and bioRxiv.
Transcribes audio files using OpenAI's Whisper API within an MCP server environment.
Provides access to real-time and historical vessel tracking data from MarineTraffic.
Enables semantic search of user-provided ETABS documentation using local embeddings and a Model Context Protocol (MCP) server.
Serves Colombian inflation data and related tools via a remote Model Context Protocol (MCP) server.
Convert REST API specifications into MCP (Model Context Protocol) tools for AI agents.
Enables read-only queries for TDengine databases, allowing AI assistants to explore data and database structures.
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