data science & ml를 위한 엄선된 MCP 서버 컬렉션을 찾아보세요. 8804개의 서버를 탐색하고 필요에 맞는 완벽한 MCP를 찾아보세요.
Query Feyenoord football match data using natural language with this Model Context Protocol (MCP) server.
Answers computer science questions, summarizes research papers, and visualizes concepts by leveraging the arXiv dataset.
Transcribes YouTube video content using available transcripts or audio transcription.
Provides a standardized way to connect AI models to different data sources and tools by implementing the Model Context Protocol.
Enables semantic code search by leveraging Qdrant vector database and OpenAI embeddings.
Provides LLM clients with dynamic access to up-to-date implementation details and documentation from popular AI libraries like LangChain, LlamaIndex, and OpenAI.
Enables AI assistants to interact with the Rockfish machine learning platform through a Model Context Protocol (MCP) server.
Facilitates gasless micropayment-based consumption of X402-protected APIs for AI agents.
Access Mixpanel analytics data, including events, retention, funnels, and cohorts, through natural language conversations with Claude.
Builds and deploys a custom Model Context Protocol server on Databricks Apps, providing two LLM-callable tools for data interaction.
Dynamically exposes OpenAPI-defined REST APIs as Model Context Protocol (MCP) tools for Large Language Models (LLMs).
Search and analyze submissions from the Zenn AI Agent Hackathons using an AI agent and a chat-based web UI.
Streamline sales operations by interacting with customer data using natural language directly within your IDE.
Empower AI assistants to manage Syncro MSP operations, including tickets, assets, contacts, invoices, and RMM tools, through a Model Context Protocol server.
Integrates IBM watsonx.ai foundation models and services, enabling delegation of AI tasks from Claude.
Provides semantic code analysis, repository mapping, and navigation capabilities for large codebases.
Connects Model Context Protocol (MCP) clients with various AI providers and custom command-line interface (CLI) delegate tools.
Performs dynamic program analysis using tools like Valgrind Memcheck to detect vulnerabilities and generate evidence for LLM-assisted security reasoning.
Facilitates agent-initiated review workflows, allowing AI agents to submit tasks for human or AI oversight and retrieve results.
Provides persistent memory for AI agents to store, retrieve, and search knowledge across sessions using the Model Context Protocol.
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