Discover our curated collection of MCP servers for data science & ml. Browse 6274servers and find the perfect MCPs for your needs.
Empower AI assistants with a comprehensive suite of statistical analysis and machine learning tools, enabling intelligent data discovery and automated insights.
Provides an MCP server for integrating OpenRouter's AI models.
Serves as a server for voice AI applications utilizing OpenAI.
Integrates ClickHouse databases with Large Language Models (LLMs) and other AI applications via the Model Context Protocol (MCP).
Orchestrates a modular chatbot leveraging LangChain MCP to perform math calculations, fetch real-time weather data, and conduct web searches.
Integrates AI capabilities and conversational interfaces into Laravel applications.
Facilitate seamless management of DDC/CI-enabled monitors, integrating them into automation projects via an MCP server and MQTT client.
Manages user data, resources, tools, and prompts through a Model Context Protocol server, featuring AI-powered data generation.
Provides seamless access to the Internet Game Database (IGDB) API, enabling AI assistants to search, retrieve detailed information, and execute custom queries for video games.
Externalizes LLM memory into a persistent, searchable knowledge graph, enhancing AI systems with advanced semantic and temporal intelligence.
Enables Large Language Models (LLMs) to query live Twilio data using natural language through a Model Context Protocol (MCP) server.
Provides comprehensive guidance and best practices for creating and managing Kusto graph models in Azure Data Explorer.
Automates Python script execution via LLMs within isolated environments.
Provides LLMs with comprehensive yet safe access to local filesystem operations and system commands through a robust server.
Provides structured access to the GTEx Portal API, enabling AI assistants to query and analyze genomics data through 25 specialized tools.
Enables querying of live Office 365 data from LLMs like Claude Desktop using a Model Context Protocol (MCP) interface.
Provides a comprehensive server infrastructure for food and nutrition intelligence, offering tools for data retrieval, meal planning, and dietary analysis.
Enables AI systems with advanced web scraping and crawling capabilities for intelligent content analysis.
Simplifies integration between enterprise systems and AI platforms by providing business data support for AI systems.
Exposes Tally data through a Model Context Protocol (MCP) interface, enabling Large Language Models (LLMs) to query live Tally data using natural language.
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