Data Science & ML MCP 서버
data science & ml를 위한 엄선된 MCP 서버 컬렉션을 찾아보세요. 3961개의 서버를 탐색하고 필요에 맞는 완벽한 MCP를 찾아보세요.
AI Tooling Server
Implements a streamable HTTP server that enables intelligent tool usage via Azure OpenAI GPT-4o with the Model Context Protocol.
Hackernew
Provides an AI-friendly server for interacting with Hacker News data.
TMD
Provides weather data from the Thai Meteorological Department as an MCP server.
Mcp Hub
Orchestrates a multi-agent workflow for deep research and code generation using Gradio's Model Context Protocol (MCP) server.
Salesforce
Establishes a seamless bridge for integrating Salesforce with GenAI applications, simplifying management and data utilization.
Core
Orchestrate and manage local AI tools through a unified Model Context Protocol gateway.
Document Analyzer
Analyzes text documents for sentiment, keywords, and readability, while offering robust document management and semantic search capabilities.
Model Context Protocol
Enables building and running Model Context Protocol (MCP) servers to expose tools and functions over streamable HTTP for AI assistants.
Cloudant
Connects Large Language Models (LLMs) and AI clients to live Cloudant data via a Model Context Protocol (MCP) interface.
Mock Data
Generates mock data for various application development and testing scenarios.
Model-Context-Protocol
Provides a basic implementation of a Model Context Protocol server for educational purposes.
YFinance Wrapper
Retrieves historical stock data using the yFinance library within an MCP environment.
Recruitee
Connects AI agents to Recruitee data, enabling advanced search, filtering, and reporting on recruitment information.
Weather
Provides weather data, likely for use within a larger system.
GCP
Provides a central hub for integrating various Google Cloud Platform services, including BigQuery and Vertex AI, tailored for Generative AI applications.
Git File Forensics
Provides detailed insights into file histories, changes, and patterns within Git repositories, focusing on individual file analysis.
MarkLogic
Connects large language models to live MarkLogic data, enabling natural language querying through a Model Context Protocol interface.
Cricket Prediction
Demonstrates building a Model Context Protocol (MCP) server in Python to expose custom tools and resources to large language models (LLMs) and MCP clients.
Raphtory Schema Explorer
Exposes GraphQL schema information for Raphtory graphs, enabling LLMs to understand graph structure.
Power BI
Enhances Power BI workflows by integrating AI agents and analytics for streamlined data visualization and business intelligence.
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