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。7261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。
Solves mathematical problems using a client-server architecture.
Provides weather forecasts for locations in South Korea using data from the Korea Meteorology Administration.
Translates natural language commands into valid Podman CLI commands for container management.
Provides a curated list of Model Context Protocol (MCP) servers, highlighting their features and uses for AI-driven workflows based on discussions on X.
Provides a Multi-Agent Conversation Protocol (MCP) server for interacting with the Google Cloud Video Intelligence API.
Integrate USDA nutrition data and automate meal planning within Claude Desktop, providing accurate macros, calories, and ingredients for food items.
Delivers Stackpress-specific context to AI utilities for improved understanding and responses.
Provides a chat interface to retrieve and query comprehensive SEC filing data.
Facilitates confidential AI computing and TEE infrastructure on the Phala Network as a production-ready Model Context Protocol server.
Enables natural language semantic search and detailed metadata filtering across a Pinecone vector database of economic books and academic papers.
Provides AI-powered natural language search and query capabilities for user manuals and documents.
Integrates E2B with Claude AI Desktop to execute code in secure cloud sandbox environments.
Empowers revenue teams with real-time ML insights for lead prioritization, churn prevention, and conversion maximization.
Connects LLMs and AI agents to Amazon Redshift data using the Model Context Protocol.
Exposes a user's GitHub starred repositories as structured resources for large language model (LLM) applications.
Integrates Braiins Pool API data with AI assistants via the Model Context Protocol for Bitcoin mining operations.
Provides an MCP server interface to the CTFtime API, allowing AI assistants to retrieve information on CTF events, teams, and rankings.
Provides persistent, semantic long-term memory for AI agents, enabling them to recall past conversations, decisions, and context across sessions.
Develop diagrams collaboratively with AI by focusing on semantic relationships rather than visual layout.
Provides AI assistants with persistent memory across sessions by storing project context, decisions, and progress in structured markdown files.
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