data science & ml를 위한 엄선된 MCP 서버 컬렉션을 찾아보세요. 9718개의 서버를 탐색하고 필요에 맞는 완벽한 MCP를 찾아보세요.
Exposes YouTube summarization APIs as tools compatible with the MCP (Meta-Control Protocol).
Enables AI assistants to interact with the Hive blockchain using the Model Context Protocol.
Interfaces with Replicate's API to generate content using hosted AI models.
Enables Large Language Models to interact with GraphQL APIs through schema introspection and query execution.
Demonstrates Model Context Protocol (MCP) integration with FastAPI and Gradio for AI model interaction.
Exposes API Market's endpoints as Model Context Protocol (MCP) resources, allowing Large Language Models to discover and interact with over 200 APIs defined by OpenAPI specifications.
Enables AI-powered code search using the Exa API within an MCP environment.
Enables AI models to interact with the Zerodha trading platform.
Empowers AI agents with advanced meta-cognition and dynamic, reflective problem-solving capabilities.
Manages character knowledge and relationships for creative writing projects, acting as a Model Context Protocol server.
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.
Manages a minimalist, file-based knowledge base server designed for programmatic operation by Large Language Models and developers.
Analyzes Laravel application logs using artificial intelligence to provide insights and facilitate debugging.
Enhances development workflows by learning coding patterns and providing intelligent, context-aware assistance.
Mines, searches, and enriches LinkedIn profile data with advanced AI and third-party API integrations.
Provides a curated collection of cutting-edge, production-ready AI solutions for enterprise productivity, document intelligence, workflow automation, and developer augmentation.
Decompile Java class and JAR files using CFR for source code analysis and integration into agent workflows.
Provides natural language inference capabilities through a multi-interface server, supporting REST API and Model Context Protocol.
Empowers AI agents with a self-evolving RAG system for autonomously managing cross-application persistent memory.
Delivers clean, bounded web content to AI clients, preventing context window flooding during web searches and URL fetches.
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