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。10342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。
Integrates ComfyUI workflows into Open WebUI pipelines for image generation.
Executes Python code within ephemeral Daytona sandboxes, facilitating tasks such as code execution, file manipulation, and web server previewing.
Processes emails from Outlook, stores them in SQLite, and generates vector embeddings for semantic search.
Provides read-only access to graphs within an Ontotext GraphDB repository, enabling LLMs to execute SPARQL queries.
Connects large language models to the Firebolt data warehouse.
Provides access to cryptocurrency market data, portfolio tracking, and news via the CoinStats API.
Enables language models to search and retrieve Wikipedia articles programmatically.
Connects AI agents and large language models with diverse scientific computing resources and datasets via a standardized protocol.
Automate H-1B job searching and analyze sponsorship data using official U.S. Department of Labor LCA disclosures.
Capture and organize technical details, code context, GitHub issues, and personal reflections into a Git-based project journal.
Provides AI agents with persistent, searchable, and versioned long-term memory that endures across conversations and tools.
Enables AI assistants and agents to evaluate responses against various quality criteria using Root Signals evaluators via the Model Context Protocol (MCP).
Extends AI assistant memory by leveraging Gemini's context caching to load and query large codebases, documentation, and PDFs.
Provides AI agents with persistent, hierarchical memory, preventing loss of context and duplicated work across sessions.
Enables AI agents to pause for human input or approval before executing irreversible actions.
Enables AI agents to autonomously run, verify, and iterate on retro game programs developed with Pyxel.
Indexes code repositories into a knowledge graph, providing comprehensive code intelligence for AI agents and human developers through MCP, HTTP API, and an interactive web UI.
Provides persistent cognitive infrastructure for AI systems, offering semantic memory, emotional processing, and identity continuity.
Provides persistent memory and self-awareness for Claude Code, automatically tracking mistakes, decisions, and context across development sessions.
Provides AI coding agents with persistent, searchable memory of your codebase, significantly reducing token usage and response times.
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