发现我们为 data science & ml 精心策划的 MCP 服务器集合。浏览 5581 个服务器,找到满足您需求的完美 MCP。
Automates dataset onboarding and cataloging via a FastAPI-based server, integrating with Google Drive for input and storage.
Provides a Laravel package for interacting with Model Context Protocol (MCP) servers and implementing MCP servers.
Provides detailed weather information, air quality data, and agricultural insights for Indian cities via a Model Context Protocol server.
Integrates Claude Desktop with PostgreSQL databases, allowing natural language queries for data exploration and analysis.
Transcribe, summarize, and analyze audio content using intelligent processing.
Provides a read-only Model Context Protocol (MCP) interface to connect Large Language Models (LLMs) with SAP Concur data for natural language querying.
Performs AI-powered audio transcription using the optimized Whisper model, supporting multiple languages, batch processing, and various output formats.
Provides AI assistants with real-time date, time, and timezone information.
Integrates with the Unix `bc` (Basic Calculator) command-line tool to provide arbitrary precision numerical computation capabilities.
Retrieves user geolocation information for integration with large language models via the Model Context Protocol.
Orchestrates complex AI development environments, coordinates multi-service workflows, and manages Textual terminal applications via a Model Context Protocol interface.
Provides weather information and web search capabilities, designed for conversational AI agents.
Translates text and GitHub issue comments between languages using OpenAI models, configurable for various language pairs.
Facilitates experimentation with the Model Context Protocol (MCP) through various projects and files.
Enables large language models to query live SAP Fieldglass data via a Model Context Protocol (MCP) interface.
Manages and executes Python scripts, leveraging LLMs to automatically extract and validate argument schemas for intelligent automation.
Facilitates human review of AI-generated plans using a web-based interface designed to mimic a merge request experience.
Demonstrates the creation and usage of MCP clients and servers using Python.
Automates Google Calendar tasks, including scheduling meetings via prompts and inspecting metadata, to build extensible agent-based workflows.
Provides read-only access to local Beeper chat conversations on macOS for Model Context Protocol (MCP) clients.
Scroll for more results...