Data Science & ML MCP Servers
Discover our curated collection of MCP servers for data science & ml. Browse 2313servers and find the perfect MCPs for your needs.
ArXiv
Enables AI assistants to search and analyze arXiv papers through a simple Model Context Protocol interface.
Genai Toolbox
Streamlines the integration of GenAI tools with databases by handling complexities like connection pooling and authentication.
Rulego
Orchestrates components within a lightweight, high-performance rule engine framework for Go applications.
Chatsum
Summarizes chat messages based on user queries.
Zenfeed
Empowers RSS with AI to automatically filter, summarize, and deliver important information, reducing information overload.
Excel
Enables Excel file manipulation capabilities without requiring Microsoft Excel installation.
LitterBox
Provides a secure sandbox environment to test payloads against detection mechanisms before deployment.
Minions
Enables collaboration between small, on-device LLMs and larger cloud-based models for cost-efficient language processing.
Minima
Enables on-premises conversational retrieval augmented generation (RAG) with configurable containers and optional ChatGPT or Claude integration.
Fast
Integrates AI models into Ruby applications via the Model Context Protocol.
Chart Generator
Generates visual charts from data using the Model Context Protocol and AntV.
AI Gateway
Experiments with Azure API Management's AI capabilities, integrating with Azure OpenAI, AI Foundry, and more.
Qdrant
Connects language models to a Qdrant vector database for storing and retrieving information.
Npcpy
Facilitates the integration of AI models into daily workflows through agent-based frameworks and command-line tools.
Npcpy
Provides an agent-based framework with command-line tools for integrating AI models into daily workflows.
Deebo
Automates debugging for AI coding agents by running parallel investigations and validating fixes.
Spring AI Examples
Provides example applications demonstrating the use of the Spring AI project.
Heurist Agent Framework
Provides a modular framework for building AI agents capable of interacting across multiple platforms and accessing external tools.
App Builder SDK
Facilitates rapid development of AI-native applications through model invocation, workflow orchestration, and application deployment.
QGIS Model Context Protocol
Enables Large Language Models to interact with and control QGIS Desktop for tasks like project creation, layer loading, and code execution.
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