Discover our curated collection of MCP servers for data science & ml. Browse 10258 servers and find the perfect MCPs for your needs.
Facilitates structured messaging protocol implementation for seamless client-server communication, efficient data exchange, and real-time processing.
Implements the Model Context Protocol (MCP) in Go, enabling integration between LLM applications, external data sources, and tools.
Enables connecting to Greenplum data from applications like Claude Desktop using CData JDBC Drivers.
Connects HCL Domino data to Large Language Models through a read-only Model Context Protocol (MCP) server.
Provides comprehensive sound playback capabilities for macOS, enabling AI assistants and other MCP clients to play system sounds, text-to-speech, and custom audio files.
Enables AI assistants to query Izmir's public transportation data and analytics via a Model Context Protocol (MCP) server.
Accesses law and security related data in Hong Kong through a FastMCP interface.
Provides a flexible backend for AI models and custom tools, accessible via Model Context Protocol (MCP) and HTTP APIs.
Transforms your Notion content into an AI-powered personal memory system by building a smart knowledge graph and enabling intelligent content retrieval.
Provides AI assistants with read-only access to Istio service mesh resources and Envoy proxy configurations in Kubernetes clusters.
Enhances red team operations by integrating artificial intelligence capabilities into the Sliver C2 framework.
Provides AI assistants and applications seamless access to rigorous particle physics data from the Particle Data Group (PDG).
Enables AI agents to efficiently fetch, track, and act on Bybit cryptocurrency exchange announcements.
Enhances AI development workflows by providing an on-demand marketplace of battle-tested agents, skills, and Model Context Protocols for Claude.
Query AAVE V2/V3 lending and governance data across multiple chains using The Graph subgraphs.
Provides unified access to over 25 AI models for generating images, video, and audio content.
Enables vectorless RAG for PDFs by locally serving PageIndex trees to Claude Code.
Provides a security-hardened prompt engineering framework deployed as a server on Cloudflare Workers, focusing on robust guardrails and structured prompt composition.
Empowers AI coding agents to navigate, understand, and optimize large codebases using local RAG, Qdrant, and FastEmbed.
Trains AI agents to develop human-like conversational nuance and emotional intelligence using a neurochemical behavioral model.
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