Discover our curated collection of MCP servers for data science & ml. Browse 10046 servers and find the perfect MCPs for your needs.
Enables AI assistants to search and access biology preprints from bioRxiv through a Model Context Protocol (MCP) interface.
Stores and retrieves AI assistant interaction data using a Neo4j graph database.
Empowers large language models with visual and auditory perception, enabling natural human-computer interactions.
Enhances AI model reasoning by implementing structured, retrieval-augmented thinking processes.
Analyzes music audio from local files, YouTube links, or audio URLs using librosa, Whisper, and LLMs.
Automates and streamlines data engineering workflows by delivering complete, well-prepared data requests via intelligent assistants.
Facilitates code analysis by extracting, merging, and analyzing code files, optimized for use with Large Language Models.
Enables playing chess against an AI opponent powered by a language model.
Analyzes codebases and builds a comprehensive graph database using Neo4j to enable AI-powered code understanding and assistance.
Queries multiple AI models in parallel, synthesizes responses to reduce bias, and improves accuracy through ensemble decision-making.
Provides an MCP server to access UK parliamentary data and enhance research with semantic search capabilities.
Simplifies the creation and operation of MCP servers and clients with minimal code.
Provides a self-hostable server for automatic license plate recognition via REST and Model Context Protocol APIs.
Provides interactive demos demonstrating core features, elicitations, and AI-powered content generation for building advanced MCP server tools.
Converts AI Skills (following Claude Skills format) into Model Context Protocol (MCP) server resources, making them accessible to large language model applications.
Unifies MQTT sensors, Modbus devices, and industrial equipment into a single AI-orchestrable API, enabling real-time monitoring and control for Industrial IoT, SCADA, and PLC systems.
Process video and audio files by converting, compressing, trimming, and extracting media with FFmpeg through natural language commands.
Integrate OpenCode AI's comprehensive suite of developer tools and workflows into any Model Context Protocol (MCP) compatible client.
Enforces constraints and manages persistent memory for AI coding tools to ensure adherence to project rules.
Provides an open-source, self-hosted semantic layer for AI agents, ensuring reliable and governed data outputs.
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