Discover our curated collection of MCP servers for data science & ml. Browse 10274 servers and find the perfect MCPs for your needs.
Connects to a FHIR server to provide core Model Context Protocol functionality for interacting with FHIR resources.
Guides systematic problem-solving by implementing Claude Shannon's methodology of problem definition, modeling, and validation.
Provides persistent memory capabilities for Claude by implementing an MCP server with tiered memory architecture and semantic search.
Connects language models to web3 tools through the Heurist Mesh network.
Provides Large Language Models with time awareness capabilities through a Model Context Protocol (MCP) server.
Enables AI coding assistants to interact with Pinecone projects and documentation, enhancing the developer experience.
Enables federated connections between AI systems and various data sources through a standardized architecture.
Provides real-time access to financial market data via WebSocket for streaming price quotes, market metrics, and events.
Provides LLM tools to search and retrieve comprehensive clinical trial data from the official ClinicalTrials.gov REST API.
Orchestrates autonomous AI agents using Claude's native tools for advanced task decomposition, delegation, and meta-prompting in a Software 3.0 context.
Empowers AI assistants with programmatic access to Linux kernel tracing capabilities using bpftrace.
Facilitates interaction with Slack workspaces by acting as a Model Context Protocol server, providing a comprehensive set of communication and management tools.
Empowers your Navidrome music server with an AI-powered assistant, facilitating intelligent playlist creation, music discovery, and library management through natural language interaction.
Provides AI assistants with seamless access to Israeli Government Open Data for search, discovery, and analysis.
Provides a context-augmentation layer to equip AI agents, especially coding agents, with an up-to-date knowledge base, significantly boosting their performance.
Empower AI agents with instant, hallucination-free access to your codebase and documentation through an intelligent local semantic search engine.
Provides an infrastructure layer for AI agents to connect and manage tools across various environments.
Integrates various AI model providers into a unified terminal agent for developers.
Protects AI agents from prompt injection, data exfiltration, and dangerous command execution by acting as an LLM security middleware and AI agent firewall.
Perform local code searches combining advanced retrieval techniques, parsing over 60 languages with tree-sitter, and providing structured, offline results.
Scroll for more results...