Data Science & ML MCP 服务器

LitterBox

862

Provides a secure sandbox environment to test payloads against detection mechanisms before deployment.

Minions

818

Enables collaboration between small, on-device LLMs and larger cloud-based models for cost-efficient language processing.

Minima

731

Enables on-premises conversational retrieval augmented generation (RAG) with configurable containers and optional ChatGPT or Claude integration.

Chart Generator

683

Generates visual charts from data using the Model Context Protocol and AntV.

Fast

671

Integrates AI models into Ruby applications via the Model Context Protocol.

Qdrant

628

Connects language models to a Qdrant vector database for storing and retrieving information.

AI Gateway

626

Experiments with Azure API Management's AI capabilities, integrating with Azure OpenAI, AI Foundry, and more.

Npcpy

603

Facilitates the integration of AI models into daily workflows through agent-based frameworks and command-line tools.

Npcpy

582

Provides an agent-based framework with command-line tools for integrating AI models into daily workflows.

Deebo

581

Automates debugging for AI coding agents by running parallel investigations and validating fixes.

Spring AI Examples

560

Provides example applications demonstrating the use of the Spring AI project.

Heurist Agent Framework

559

Provides a modular framework for building AI agents capable of interacting across multiple platforms and accessing external tools.

App Builder SDK

532

Facilitates rapid development of AI-native applications through model invocation, workflow orchestration, and application deployment.

QGIS Model Context Protocol

518

Enables Large Language Models to interact with and control QGIS Desktop for tasks like project creation, layer loading, and code execution.

Bright Data

518

Empowers AI agents to access, discover, and extract real-time web data, bypassing restrictions and bot detection.

Deep Dive Into AI

468

Provides educational resources for learning AI, machine learning, and deep learning using PyTorch and Apple's MLX frameworks.

Crawl4AI RAG

451

Empowers AI agents and coding assistants with web crawling and retrieval-augmented generation (RAG) capabilities.

Pg-Mcp

448

Exposes PostgreSQL databases to AI agents via the Model Context Protocol, offering rich schema discovery and query capabilities.

MySQL

438

Enables LLMs to inspect MySQL database schemas and execute read-only queries.

VectorCode

438

Indexes code repositories to provide context to LLMs for improved code completion and understanding.