Discover our curated collection of MCP servers for data science & ml. Browse 5736servers and find the perfect MCPs for your needs.
Provides a standardized interface for accessing cryptocurrency market data and exchange information from the CoinMarketCap API.
Provides a full-featured stock data service supporting real-time A-share, Hong Kong, and US market quotes, fundamental analysis, AI-driven news sentiment analysis, and in-depth research.
Integrates Google search capabilities, enhanced by AI-powered deep research, into Model Context Protocol-enabled applications.
Provides persistent memory capabilities for Claude by implementing an MCP server with tiered memory architecture and semantic search.
Connects LLMs to Databricks, enabling natural language interaction with SQL warehouses and job management.
Fetches YouTube video transcripts for integration with Large Language Models via Model Context Protocol.
Delivers curated positive and uplifting news stories using sentiment analysis.
Enables interaction with Databricks clusters, jobs, and notebooks via the Model Completion Protocol.
Implements the Model Context Protocol (MCP) in Go, facilitating seamless integration between LLM applications and external resources.
Enables natural language querying and manipulation of FHIR healthcare data through LLM-based agents.
Deploys a complete AWS backend infrastructure for retrieval-augmented generation applications, integrating with Gemini Pro and a Streamlit UI.
Integrates Redash with AI assistants like Claude via a Model Context Protocol (MCP) server.
Enables AI agents to discover, access, and query high-quality business data products while enforcing data governance policies.
Provides advanced image analysis capabilities like captioning, visual question answering, and object detection via the Model Context Protocol (MCP).
Equip Claude with advanced math capabilities including symbolic math, statistical analysis, and matrix operations.
Processes Excel files by providing microservice functionalities for reading, writing, and analyzing data.
Enables conversational exploration and analysis of RDF-based Knowledge Graphs through local files or SPARQL endpoints.
Facilitates seamless integration of VideoDB context with LLMs and AI agents by automating SDK version synchronization, documentation updates, and example generation.
Translates PowerPoint presentations using Amazon Bedrock models, preserving original formatting and structure.
Empower AI agents with instant, hallucination-free access to your codebase and documentation through an intelligent local semantic search engine.
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