data science & ml를 위한 엄선된 MCP 서버 컬렉션을 찾아보세요. 5633개의 서버를 탐색하고 필요에 맞는 완벽한 MCP를 찾아보세요.
Interfaces with the Finnhub API to retrieve market data, news, and financial information for stocks.
Enables the Cursor IDE to interact with TiDB AI.
Transforms natural-language security requirements into production-ready Cerbos YAML policies for AI agent and application governance.
Manages local photos with AI features such as semantic search and face recognition.
Manages image sessions and performs high-performance image processing operations using an MCP server.
Parses Go source code into an Abstract Syntax Tree (AST) and converts it into a clean, LLM-friendly format for context injection.
Integrate cryptocurrency payment capabilities from Bitnovo Pay into AI agents, enabling them to create and manage payments.
Qualifies leads using ChatGPT based on the BANT (Budget, Authority, Need, Timeline) framework through a conversational interface.
Enables LLM applications to interact with a Dgraph database using the Model Context Protocol (MCP).
Enables large language models to access real-time and historical Bitcoin market data from Binance.
Provides seamless access to economic and financial time series data from the Central Reserve Bank of Peru (BCRP) via a standardized Model Context Protocol interface.
Recognizes various CAPTCHA types including text OCR, object detection, and slider matching using the ddddocr library.
Enables AI agents and scientific tools to interact with PubChem's vast chemical information database via the Model Context Protocol.
Enables natural language interaction with databases using language models served through Ollama.
Empowers AI agents with the context and tools to query Base chain data via Coinbase Developer Platform's SQL API using natural language.
Ensures the accuracy of academic citations by verifying them against the CrossRef database, preventing large language models from hallucinating references.
Establishes a powerful bridge between Ollama and the Model Context Protocol (MCP), enabling seamless integration of local LLM capabilities into MCP-powered applications.
Combines DeepSeek and Claude AI models to deliver enhanced and comprehensive AI responses.
Accesses real-time NYC subway data for arrivals, routes, and alerts, leveraging AI for natural language and location-aware queries.
Integrates advanced semantic search and knowledge graph capabilities into Obsidian vaults by leveraging Smart Connections embeddings.
Scroll for more results...