Discover our curated collection of MCP servers for data science & ml. Browse 6536servers and find the perfect MCPs for your needs.
Retrieves stock market data and provides trading capabilities using the yfinance library.
Enables web searches using DuckDuckGo and integrates with Model Context Protocol (MCP) for advanced result exploration.
Provides read-only access to graphs within an Ontotext GraphDB repository, enabling LLMs to execute SPARQL queries.
Exposes OpenAI agents and tools as a Model Context Protocol (MCP) server.
Performs financial analysis by providing access to real-time and historical stock data, along with company fundamentals.
Integrates the OpenAlgo trading platform with AI, enabling natural language interaction for trading operations.
Build multi-agent systems leveraging Google's Agent Development Kit (ADK) with A2A communication and MCP control.
Connects AI assistants to DuckDB for powerful data analysis through the Model Context Protocol.
Access Zerodha trading account data through the Claude AI platform.
Empowers AI Agents to interact with OpenSearch using a standardized and extensible interface.
Provides various tools for accessing and analyzing stock market data.
Provides a Model Context Protocol server enabling AI assistants to interact with web pages, manage browser instances, and perform various web automation tasks.
Facilitates AI agents in connecting with and manipulating AITable datasheets.
Provides accurate interface and enum definitions directly from NuGet packages to reduce LLM hallucinations about real package APIs.
Orchestrates iterative refinement of text outputs using self-critique cycles to achieve high-quality, convergent results.
Unifies SymPy, NumPy, and Matplotlib into a powerful server for advanced mathematical computations and visualizations.
Analyze Korean stock prices and corporate disclosure data using official APIs.
Transforms SQLite into an AI-ready database engine equipped with 73 specialized tools for advanced analytics, JSON operations, vector search, and intelligent workflow automation.
Empowers AI assistants to generate high-quality images using Google's Gemini models, supporting resolutions up to 4K and offering natural language editing.
Analyzes spatial transcriptomics data through natural language conversation, enabling researchers to interact with their data without writing code.
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