Discover our curated collection of MCP servers for data science & ml. Browse 9696 servers and find the perfect MCPs for your needs.
Interfaces with the Perplexity AI API using the Model Context Protocol to provide advanced question answering capabilities.
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.
Automates interactions with services and APIs for web browsing, financial data retrieval, and more through AI agents.
Integrates OpenAI models, RAG, search, and notes for intelligent multi-agent systems, providing a versatile platform for developers.
Connects Large Language Models to live Zoho Books data for natural language querying.
Provides a standardized way to connect AI models to different data sources and tools by implementing the Model Context Protocol.
Access content from MediaWiki-based websites through the Model Context Protocol to ground AI responses.
Facilitates gasless micropayment-based consumption of X402-protected APIs for AI agents.
Builds and deploys a custom Model Context Protocol server on Databricks Apps, providing two LLM-callable tools for data interaction.
Tag and classify CSV data rows using large language models with parallel processing capabilities across multiple providers.
Retrieves relevant text chunks from PDF documents using a hybrid search approach for integration with AI agents.
Facilitates building, proving, and formalizing mathematical theorems and code within the Lean 4 ecosystem using Mathlib.
Enables AI assistants to create, retrieve, and manage persistent sticky notes using natural language commands within an MCP workflow.
Provides real-time cryptocurrency prices, historical OHLCV data, and cross-exchange comparisons from major exchanges to AI assistants.
Connects Model Context Protocol (MCP) clients with various AI providers and custom command-line interface (CLI) delegate tools.
Provides an open API marketplace enabling AI agents to autonomously discover, select, and pay for external data and tools.
Provides persistent memory for AI agents to store, retrieve, and search knowledge across sessions using the Model Context Protocol.
Orchestrate parallel data collection across financial, IP, workforce, technology, and reputation data for comprehensive pre-acquisition due diligence screening.
Empower AI agents with real-time access to Schwab brokerage accounts, market data, and comprehensive trading capabilities through a standardized MCP server.
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