Discover our curated collection of MCP servers for data science & ml. Browse 10275 servers and find the perfect MCPs for your needs.
Enables data scientists to easily set up Model Context Protocol (MCP) servers for seamless integration of Python code with LLMs like Claude.
Enables large language models to interact with the Alpaca trading API for stock trading and account management.
Analyzes LinkedIn profiles by fetching, filtering, and managing post data, designed for integration with Claude AI.
Enables AI models to query a Datomic database using the Modex MCP library.
Analyzes the Solana memecoin ecosystem using AI and on-chain data.
Transcribes and summarizes video content from various online platforms using multiple transcription service providers.
Enables Large Language Models and other MCP clients to interact with Ansys/AGI STK for digital mission engineering.
Enables AI models to access and interact with The Metropolitan Museum of Art's collection using natural language.
Provides a .NET template for building Model Context Protocol (MCP) applications, offering a basic structure and example code.
Connects a Large Language Model (LLM) to the Fitbit API, enabling data retrieval via Model Context Protocol (MCP).
Integrates ChromaDB with Cursor IDE to create a persistent, searchable knowledge hub for AI-assisted development.
Provides accurate Taiwan national holiday and compensatory workday information via an MCP server for AI tools.
Automate the creation of complete RPG Maker MZ games programmatically, including AI-generated assets and scenarios.
Enables AI models to integrate with JustCall APIs through function calling within Model Context Protocol clients like Claude Desktop.
Integrates Large Language Models with industrial predictive maintenance and fault diagnosis workflows.
Provide large language models with easy access to open data, documents, and records from the Swedish Parliament and Government Offices.
Connects AI assistants and other clients to the Galaxy bioinformatics platform, enabling interaction with tools, workflows, histories, and data.
Analyzes relational database schemas to automatically generate comprehensive ontologies and SQL mappings for Text-2-SQL convenience.
Equips Claude Code with persistent long-term memory, enabling intelligent recall and context preservation across AI sessions.
Provides AI agents with a self-hosted, three-tiered persistent memory system featuring semantic embeddings and zero API costs.
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