Discover our curated collection of MCP servers for data science & ml. Browse 6326servers and find the perfect MCPs for your needs.
Enables semantic search and workflow automation for medical and scientific papers using AI.
Empowers RSS with AI to automatically filter, summarize, and deliver important information, reducing information overload.
Connect any AI agent to Solana protocols for autonomous interaction with web3 functionalities.
Unify access to diverse data sources, from files and databases to popular applications, by querying them with SQL and integrating with large language models.
Augment Large Language Models with advanced agent techniques for enhanced reasoning, memory, and intelligent decision-making.
Provides a powerful, self-hostable AI Agent platform for maximum privacy and flexibility, acting as a complete drop-in replacement for OpenAI's Responses APIs with advanced agentic capabilities on consumer-grade hardware.
Provides scalable, fast, and disk-friendly vector search capabilities directly within PostgreSQL.
Connects to the Perplexity API, enabling real-time, web-wide search within the Model Context Protocol ecosystem.
Enables AI assistants to create, read, and manipulate Microsoft Word documents through a standardized interface.
Provides a modular and extensible Python framework for building and managing Auto-GPT agents.
Offers a comprehensive production toolkit for large language models, providing observability, prompt management, and evaluation capabilities to enhance LLM development.
Orchestrates components within a lightweight, high-performance rule engine framework for Go applications.
Enables AI assistants to access and search official Microsoft documentation in real-time.
Provides a secure sandbox environment to test payloads against detection mechanisms before deployment.
Enables collaboration between small, on-device LLMs and larger cloud-based models for cost-efficient language processing.
Provides a robust and scalable operating system foundation for building, deploying, and managing intelligent AI agents.
Enables AI agents to measure, exchange, and settle value on-chain within a decentralized network.
Provides semantic memory and persistent storage capabilities for Claude using ChromaDB and sentence transformers.
Connects language models to a Qdrant vector database for storing and retrieving information.
Facilitates the integration of AI models into daily workflows through agent-based frameworks and command-line tools.
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