Discover our curated collection of MCP servers for data science & ml. Browse 6792servers and find the perfect MCPs for your needs.
Facilitates interactive data exploration by turning complex datasets into actionable insights.
Provides a Model Context Protocol (MCP) server implementation with database capabilities powered by Chroma for LLM applications.
Enables AI systems to interact with Airtable bases for reading and writing data.
Enables any LLM to interactively debug code in any language through MCP and a VS Code Extension.
Implements strategic pattern interrupts in AI workflows to prevent cascading errors and tunnel vision.
Facilitates biomedical research by providing an open-source toolkit for AI assistants and agents to search and retrieve data on clinical trials, PubMed articles, and genomic variants.
Quickly scaffolds Python projects for Model Context Protocol (MCP) servers.
Provides a collection of official plugins for the Dify platform, including models, tools, agent strategies, and extensions.
Enables AI agents to manage and search data within Redis using natural language.
Provides a Model Context Protocol (MCP) server for interacting with dbt projects.
Provides access to real-time financial news, stock data, and index data via the Tushare API for language models.
Exposes PostgreSQL databases to AI agents via the Model Context Protocol, offering rich schema discovery and query capabilities.
Combines search and Large Language Models (LLMs) to generate insights from your data using Retrieval Augmented Generation (RAG).
Enables large language models to interact with Alpaca's trading infrastructure using natural language for stock and option trading.
Enables AI assistants and automated analysis tools to interact with Ghidra's reverse engineering capabilities through a standardized API.
Automates and simplifies diverse research workflows by integrating large language models with web search, social media, mapping, and code exploration.
Enables AI assistants to safely query any PostgreSQL database using natural language, returning structured SQL results.
Transforms various document formats like PDF, Office, and images into Markdown using a high-performance, multi-GPU service, and integrates with AI assistants via the Model Context Protocol (MCP).
Accelerate PDF document processing for AI agents by extracting text, images, and metadata with parallel execution and precise content ordering.
Provides a comprehensive backtesting framework for algorithmic trading strategies, supporting multiple markets and featuring CLI tools and an integrated MCP server.
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