Data Science & ML MCP 서버

data science & ml를 위한 엄선된 MCP 서버 컬렉션을 찾아보세요. 4411개의 서버를 탐색하고 필요에 맞는 완벽한 MCP를 찾아보세요.

Generates images using the Volcengine Jimeng AI API, accessible via a standardized Model Context Protocol (MCP) service.

Integrates the Hyperliquid SDK to provide market data and order book information.

Connects Product Hunt's API to any LLM or agent that speaks the Model Context Protocol (MCP).

Extracts and formats web content using the Jina AI Reader API for seamless integration with Large Language Models.

Scrape Weibo user information, feeds, and perform content searches.

Provides access to Jina AI's web services through Claude, enabling web page reading, web search, and fact-checking.

Enables conversational exploration and analysis of RDF-based Knowledge Graphs through local files or SPARQL endpoints.

Executes advanced logic primitives and cognitive operations, leveraging the Model Context Protocol (MCP).

Enables LLM models to interact with Apache Kafka through the Model Context Protocol (MCP).

Queries Solana blockchain transactions using natural language via the Solscan API.

Equip Claude with advanced math capabilities including symbolic math, statistical analysis, and matrix operations.

Indexes and performs semantic searches across files in local directories using vector embeddings.

Exposes actions from connected integrations on Integration.app as tools for AI agents via the Model Context Protocol.

Demonstrates an MCP server and client implementation, showcasing how to expose a dummy API to an AI chatbot.

Integrate OpenRouter's vast collection of AI models directly into Claude Code through a local server.

Extracts text content from PDF files, supporting both local files and URLs.

Provides access to Kuzu databases for Large Language Models (LLMs) by enabling schema inspection and query execution.

Enables interaction with the LinkedIn API through the Model Context Protocol.

Generate videos from text prompts or images using Google's Veo2 model via a Model Context Protocol (MCP) server.

Enables Large Language Models to interact with Oracle Databases, generate SQL statements, and return results using prompts.

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