发现我们为 data science & ml 精心策划的 MCP 服务器集合。浏览 6531 个服务器,找到满足您需求的完美 MCP。
Provides a comprehensive Model Context Protocol (MCP) based AI application with intelligent server selection, specialized AI tools, and a web interface for enterprise text analysis, code review, sentiment analysis, and knowledge management.
Converts Figma designs into a pseudo-code like structure, optimized for AI comprehension, and fetches design element images.
Automates the generation, compilation, and uploading of Arduino, ESP8266, and ESP32 firmware using local Large Language Models and Arduino CLI.
Provides deep reasoning capabilities to Model Context Protocol (MCP) clients using the deepseek-r1 model.
Manages file operations transactionally for AI agents, offering atomic edits, comprehensive undo/redo, code navigation, refactoring, and Git integration.
Enables natural language interactive control of Universal Robots through an intelligent middleware system integrating large language models.
Exposes FinBrain financial datasets to AI clients and agents through a local Model Context Protocol (MCP) server.
Facilitates Elasticsearch data processing and search through Spring AI's Model Context Protocol.
Enables AI applications to interact with DiceDB databases via the Model Context Protocol (MCP).
Enhances a Stash instance by providing advanced querying, filtering, and intelligent analysis capabilities.
Provides system prompts for AI agents used in various AI clients.
Interfaces with the Finnhub API to retrieve market data, news, and financial information for stocks.
Facilitates reading data from Microsoft Excel files via a Model Context Protocol (MCP) server.
Provides AI models with programmatic access to Obsidian vaults for searching, reading, and analyzing notes.
Enables querying Apache Superset data using large language models through a Model Context Protocol (MCP) server.
Enables intelligent handling of large files for AI platforms with smart chunking, navigation, and streaming capabilities.
Integrates the Federal Reserve Economic Data (FRED) API with the Model Context Protocol (MCP).
Explores and demonstrates various LLM-related tools and integrations, including LangChain.js, LangGraph, Slack, and the Model Context Protocol.
Enables querying of the PubChem database for chemical compound data and generating structure files.
Enables users to search, visualize, and listen to information using a Google Search agent powered by Gemini models.
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