Data Science & ML MCP Servers

Discover our curated collection of MCP servers for data science & ml. Browse 5736servers and find the perfect MCPs for your needs.

Connects Claude Desktop with DeepSeek's language models (R1/V3) using a Model Context Protocol (MCP) server implementation.

Generates MP3 files from text using the Kokoro-TTS model and optionally uploads them to S3.

Fetch and analyze web analytics data from Google Analytics 4 using Large Language Models.

Exposes any FHIR Server or API as a Model Context Protocol (MCP) Server to facilitate standardized access to healthcare data.

Enables Large Language Models to interact with and retrieve information from Hugging Face's models, datasets, and other resources.

Empower AI with rich, consistent personalities via a Big Five personality engine for Model Context Protocol-compatible applications.

Enables AI assistants to interact with the MetaTrader 5 trading platform for market data access and trading operations.

Enables Claude to remember conversations and learn from them over time through a standalone MCP server.

Provides Deepseek reasoning content to Model Context Protocol (MCP)-enabled AI Clients.

Learn to build AI-infused applications using Quarkus and LangChain4j through a guided workshop.

Bridges AI assistants to Microsoft SQL Server databases for querying and exploration.

Automates optimization and analysis using Optuna APIs through the Model Context Protocol.

Analyzes large codebases within IDEs using a Model Context Protocol server leveraging Gemini's extensive context window.

Empowers AI with real-time desktop vision capabilities and enhanced UI intelligence through the Model Context Protocol.

Generates lyrics, songs, and background music through a Model Context Protocol (MCP) server.

Enables AI-assisted debugging workflows by integrating the LLDB debugger with Claude's Model Context Protocol (MCP).

Leverage large language models to enhance regression analysis with Stata.

Provides a Python interface to the Perplexity API for querying responses and managing conversations.

Automates intelligent strategy generation, real-time trading execution, and backtesting analysis for a modular quantitative trading system.

Provides a Metadata Change Proposal (MCP) server implementation for data governance.

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