Discover our curated collection of MCP servers for data science & ml. Browse 5016servers and find the perfect MCPs for your needs.
Scrapes and indexes blog content from V2.ai Insights and Contentful, offering full-text search and AI-powered summarization.
Connects to a Shopify store and retrieves product and customer information.
Provides code examples for the Hugging Face Machine Coder Program course, demonstrating tool integration and sentiment analysis.
Delivers a highly engineered retrieval-augmented generation system supporting diverse knowledge base search modalities.
Integrates AlphaVantage's financial data API as an MCP service, facilitating easier integration with other applications.
Enables interaction with Elasticsearch clusters, allowing for searching documents, analyzing indices, and managing the cluster via a set of tools.
Exposes Twilio's comprehensive suite of APIs to AI assistants and other tools via the Model Context Protocol.
Enables interaction with ElevenLabs' powerful Text to Speech and audio processing APIs through the Model Context Protocol.
Provides seamless integration with Databricks Unity Catalog for AI assistants.
Provides advanced technical, fundamental, and sentiment analysis for financial markets and cryptocurrencies.
Enables Large Language Models to connect and interact with REST APIs by exposing data through a Model Context Protocol endpoint.
Enhances conversational agents by combining static document knowledge with dynamic real-time web search capabilities.
Provides local natural language processing and a REST API for Vertica database interactions.
Enables AI agents to issue and manage verifiable credentials within a Self-Sovereign Identity (SSI) ecosystem.
Enables language models to generate images using SiliconFlow FLUX models via a Python-based MCP server.
Enhances Large Language Models with a real-time, graph-based lexical tool for high-precision morphosyntactic and functional grammar analysis of Ancient Greek texts.
Provides PyTorch AI/ML examples for Modal Context Protocol (MCP), Agent-to-Agent (A2A), RAG, and vLLM workflows, enabling reproducible and scalable pipelines for research and deployment.
Explores and demonstrates artificial intelligence concepts through proof-of-concept implementations.
Connects Claude AI to the BrianKnows API, providing access to blockchain and DeFi knowledge.
Integrates Large Language Models with real-world APIs using the Model Context Protocol for standardized AI-API interactions.
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