Discover our curated collection of MCP servers for data science & ml. Browse 7565 servers and find the perfect MCPs for your needs.
Enables AI assistants to access and interact with real-time transport alerts from Transport for NSW.
Enables interaction with Apache Iceberg catalogs from Claude, facilitating data lake discovery and metadata search through natural language prompts.
Connects QGIS to Claude AI, enabling prompt-assisted project creation, layer manipulation, and code execution through the Model Context Protocol (MCP).
Tracks newly created liquidity pools on Uniswap across nine blockchain networks in real-time.
Tracks newly created liquidity pools on PancakeSwap, providing real-time data.
Generates text differences between two strings using Python's `difflib` in Unified diff format.
Enables universal chat functionality by providing a unified API client for various AI models.
Enables Large Language Models (LLMs) to query live eBay data using natural language by exposing it through a Model Context Protocol (MCP) interface.
Accesses the SureChEMBL chemical patent database to retrieve and analyze chemical structures and associated patent documents.
Provides AI systems with robust access to Gene Ontology (GO) data for ontology-based analysis, gene annotation research, and functional enrichment studies.
Provides advanced code analysis and semantic search capabilities for large codebases, facilitating automatic refactoring and domain understanding.
Manages AI memory for Large Language Models, enabling them to better organize and utilize information through various storage types and communication protocols.
Enables access to Polymarket's prediction market data and analysis through Claude AI via a Model Context Protocol server.
Provides a vendor-agnostic Model Context Protocol (MCP) server for generating and editing AI images across multiple providers like Google's Antigravity and OpenAI's DALL-E 3.
Provides a Model Context Protocol server for VictoriaMetrics Anomaly Detection, enabling AI assistants to interact with its REST API.
Enhances AI coding assistants by providing intelligent, codebase-aware context management through local hybrid RAG.
Provides a Model Context Protocol (MCP) server for accessing the KEGG database, integrated with LangChain for LLM utilization.
Orchestrates AI agents for task automation and assistance through flexible LLM integration and modular tool management.
Empower AI models to remotely control Android devices by acting as an MCP server with comprehensive accessibility features.
Provides a statistically validated framework for discovering and backtesting trading strategies, mitigating common quantitative research biases.
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