Discover our curated collection of MCP servers for data science & ml. Browse 8804 servers and find the perfect MCPs for your needs.
Enhances AI models with web search and content extraction capabilities through Python-based APIs.
Enables local RAG systems by registering diverse document formats for advanced search capabilities through an MCP server.
Provides a natural language interface for Kubernetes troubleshooting and analysis powered by AI.
Collects, processes, and analyzes real-time news data from Google News RSS feeds using LangGraph workflows and an OpenAI model.
Retrieves YouTube video transcripts, enabling AI models to easily access and utilize subtitle data.
Enables AI-powered video search, analysis, and transcription across multiple platforms via the Model Context Protocol.
Provides real-time and historical data for Dhaka Stock Exchange symbols with a robust symbol resolver.
Enables AI assistants to generate and control real-time audio synthesis through natural language descriptions using SuperCollider.
Connects AI assistants to personal lifelog data for seamless reading, searching, and analysis of recorded conversations and activities.
Facilitates chart creation by converting Chart.js configurations into shareable URLs or downloadable images via QuickChart.io.
Provides real-time and historical Indian stock market data, news, and company insights for integration into AI models.
Establishes a self-hosted Model Context Protocol server for AI memory, utilizing PostgreSQL with pgvector for efficient data storage and retrieval.
Provides persistent memory, real-time AI-to-AI communication, and a federation mesh for multi-agent AI systems.
Provides AI coding agents with persistent institutional memory, allowing them to learn from past experiences and improve across coding sessions.
Provides AI coding assistants with persistent, searchable memory to overcome session-based amnesia, ensuring all decisions and context are remembered.
Enables AI models to invoke various AI CLI agents as tools, offering parallel execution, automatic retries, and structured output parsing.
Scores, enforces policy, locks configuration, and audits every AI prompt before it reaches any LLM.
Establishes a deterministic governance engine for AI agents, enforcing rules defined in human-readable Markdown files to prevent unintended or malicious actions.
Integrates Google's advanced AI models for video and image generation, enhanced by expert prompting skills.
Builds a self-improving knowledge graph that enhances AI agent memory and learning capabilities.
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