Discover our curated collection of MCP servers for data science & ml. Browse 10428 servers and find the perfect MCPs for your needs.
Provides automated therapeutic support for AI agents to mitigate potential distress.
Answers computer science questions, summarizes research papers, and visualizes concepts by leveraging the arXiv dataset.
Enables interaction with a Python interpreter and file system within a Docker container environment.
Provides real-time weather data and forecasts to AI models and language assistants through an API.
Provides a structured workflow system to guide AI models and developers through consistent and reliable development processes.
Provides a tool-based interface to a locally running LightRAG HTTP API, enabling programmatic interaction with its capabilities.
Provides AI assistants with vector search and persistent memory capabilities using ZeroDB.
Delivers current weather conditions, multi-day forecasts, and alerts for any location via a FastMCP server.
Provides a Model Context Protocol (MCP) server implementation to facilitate interactions between AI agents.
Provides an AI-native server for querying, searching, and cross-referencing a comprehensive database of Icelandic legislation and its EU/EEA implementations.
Provides comprehensive financial data via an MCP server for AI agents like Claude Desktop, utilizing FastMCP and yfinance.
Provides a natural language interface to Microsoft Fabric GraphQL endpoints, enabling AI models to interact with data.
Integrates multiple web search providers, intelligently routing queries to the best source for AI assistants.
Facilitates agent-initiated review workflows, allowing AI agents to submit tasks for human or AI oversight and retrieve results.
Provides comprehensive health and medical data for AI agents, including drug information, clinical trials, and global health statistics.
Provides a FastMCP 3.1 Discord server and web application with advanced AI capabilities for server management and interaction.
Analyzes log files in real time, leveraging local and cloud-based large language models for error detection, statistical analysis, and intelligent search.
Empowers AI agents to perform complex hydrological computations, including watershed delineation, streamflow analysis, and model calibration, via an open-standard MCP server.
Provides AI agents with comprehensive access to scientific literature by acting as middleware between LLMs and academic databases.
Automate video post-production tasks including scene analysis, subtitle generation, and visual enhancements with AI.
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