Discover our curated collection of MCP servers for data science & ml. Browse 5736servers and find the perfect MCPs for your needs.
Enables Retrieval Augmented Generation (RAG) capabilities for Large Language Models (LLMs) by indexing and retrieving relevant information from documents.
Enables Claude Desktop to perform AI-powered semantic search and understanding of your codebase using Google's Gemini embeddings and Qdrant Cloud vector storage.
Enables AI agents to explore and analyze decentralized finance yield opportunities using data from DefiLlama.
Connects AI assistants to DuckDB for powerful data analysis through the Model Context Protocol.
Provides persistent memory and semantic code understanding capabilities for AI assistants.
Enables natural language management of healthcare data stored in Medplum via Large Language Models.
Retrieves information from a Dify knowledge base.
Enables LLMs to interact with MongoDB databases through natural language.
Provides a comprehensive Model Context Protocol (MCP) server for advanced graph analysis capabilities using NetworkX.
Connects AI assistants to personal Strava fitness data via a Model Context Protocol (MCP) server, featuring OAuth authentication and real-time workout notifications.
Connects AI systems to external search engines like Google and Bing, providing real-time data access through the Model Context Protocol.
Connects large language models to the Firebolt data warehouse.
Integrates ComfyUI with MCP, enabling workflow execution and image generation.
Enables semantic analysis of chat conversations through vector embeddings and knowledge graphs.
Integrates Google's Gemini Pro model with the Model Context Protocol for use in applications like Claude Desktop.
Provides structured API access to baseball statistics from various sources.
Empowers AI agents with comprehensive access to Israel's complete pharmaceutical database from the Ministry of Health.
Offers a server solution to integrate and utilize Sarvam AI's comprehensive text processing APIs directly.
Enables AI applications to interact with decentralized storage through a standardized interface.
Enables AI models and agents to measure internet speed and network performance metrics through a standardized Model Context Protocol (MCP) interface.
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