Descubre nuestra colección curada de servidores MCP para data science & ml. Explora 10207 servidores y encuentra los MCP perfectos para tus necesidades.
Fetches and reads articles from a specified Substack publication, formatting the content for use with AI assistants.
Enables buying and selling stocks on a stock exchange.
Manages flash card projects using OpenAI embeddings and SQLite for semantic search and storage.
Provides a simplified, functional Node.js implementation of an MCP server with advanced chat and consensus capabilities.
Provides a comprehensive Model Context Protocol (MCP) server application demo built with Windows Forms, integrating LLM API calls, a modern chat interface, and tool management.
Integrates Alibaba's Qwen-Omni multimodal AI capabilities into any Model Context Protocol (MCP) compatible AI assistant.
Integrates a secure Python sandbox with a Gradio web UI to facilitate tool-based code execution for Large Language Models.
Enables AI assistants to interact with both local SQL Server and Azure SQL Database through natural language.
Transforms high-level business intents into structured Data Product Requirement Prompts through AI-powered conversational refinement.
Enable AI models to seamlessly interact with any external service or data source through a unified connectivity layer.
Analyzes Maven project dependencies for vulnerabilities by integrating authoritative data sources and empowering AI assistants.
Transforms a Hexo blog into a personalized knowledge base for large language models, enabling direct access and semantic search of blog content via the Model Context Protocol.
Classifies Bowman Prospects Baseball cards to assess their current and future market value using image recognition, player statistics, and pricing data.
Orchestrates LLM interactions by routing user queries, managing prompts, and integrating Retrieval-Augmented Generation.
Integrates real-time oil, gas, and commodity prices directly into AI models for enhanced context and decision-making.
Provides AI agents with programmatic access to the Epstein Exposed public API.
Leverage 10 production-grade multi-agent Model Context Protocol (MCP) servers for advanced advertising technology, integrating sophisticated machine learning algorithms and LLM reasoning.
Automates scientific research by enabling AI clients to search ArXiv, ingest papers via IBM DocLing, and provide RAG-powered Q&A over a personal library of academic documents.
Provides a structured Z80 instruction reference dataset to AI agents and development tools.
Facilitates discovery and orchestration of Japanese SaaS tools for AI agents through the Model Context Protocol.
Scroll for more results...