Data Science & ML MCPサーバー
data science & ml向けの厳選されたMCPサーバーコレクションをご覧ください。4265個のサーバーを閲覧し、ニーズに最適なMCPを見つけましょう。
Apache HBase by CData
Exposes Apache HBase data as a read-only Model Context Protocol (MCP) server for querying via Large Language Models.
Python Interpreter
Enables interaction with a Python interpreter and file system within a Docker container environment.
DDGS
Provides a Model Context Protocol (MCP) server for performing DuckDuckGo searches.
Agentic Long-Term Memory
Empower AI chatbots with sophisticated long-term memory, comprehensive Notion workspace integration, and standardized tool communication via Model Context Protocol.
Table Backuper
Manages and lists SQL Server table backups via MCP.
Specs Workflow
Automates and manages specification workflows, streamlining AI tasks from requirements to design while ensuring business alignment.
Model Context Protocol
Enables building and running Model Context Protocol (MCP) servers to expose tools and functions over streamable HTTP for AI assistants.
Model Context Protocol
Enables AI models to interact with external tools and data sources.
Qlik
Integrates AI assistants with Qlik Sense applications, providing comprehensive access to detailed Qlik data through a Model Context Protocol server.
Windows ChatGPT
Enables Claude Desktop and VS Code Claude CLI to interact with ChatGPT on Windows 11 systems via the Model Context Protocol.
Arch
Enhances AI assistant capabilities with robust context management, accuracy enforcement, and safety protocols.
Learn
Integrates a specialized math server with LangChain, enabling advanced computational capabilities for AI applications.
FastMCP Starter
Provides a foundational Model Context Protocol (MCP) server implementation built with FastMCP.
Enables Large Language Models to interact with Reddit's public API to access posts, subreddit information, and comments.
Cntx UI
Bundles and organizes project files for AI development workflows, offering a web UI and Model Context Protocol (MCP) server for seamless LLM consumption.
Vito
Implements a Model Context Protocol (MCP) server for Retrieval-Augmented Generation (RAG) applications, supporting Qdrant and Chroma vector databases.
AI Response Time Statistics
Monitors and compares the response times of GitHub Copilot and other AI models.
Prombank
Manages AI prompts efficiently, offering CRUD operations, advanced search, and seamless AI integration.
AST2LLM for Go
Parses Go source code into an Abstract Syntax Tree (AST) and converts it into a clean, LLM-friendly format to enhance prompt context.
OpenSCAD
Provides OpenSCAD rendering capabilities through a standardized Model Context Protocol interface.
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