Discover our curated collection of MCP servers for data science & ml. Browse 10401 servers and find the perfect MCPs for your needs.
Connects kintone data to AI tools via the Model Context Protocol.
Provides healthcare analytics capabilities for Smartsheet, including clinical note summarization, patient feedback analysis, and research impact assessment.
Accesses and retrieves economic data series from the Federal Reserve Economic Data (FRED) API.
Accesses protein function and sequence information directly from UniProt.
Trains a linear regression model from a CSV file using Claude and the Model Context Protocol (MCP).
Access Zerodha trading account data through the Claude AI platform.
Integrates threat intelligence from MISP with Large Language Models via a Model Context Protocol (MCP) server.
Enables AI language models to interact with Amap API services for geographic information, weather data, and route planning.
Connects AI models with external tools and data sources through a standardized protocol.
Provides example implementations for Spring AI's Model Context Protocol, demonstrating interaction with various databases.
Establishes a robust foundation for building Model Context Protocol (MCP) servers, primarily for UI libraries and component registries.
Facilitates AI agents in connecting with and manipulating AITable datasheets.
Integrates Inoreader with Claude Desktop, enabling intelligent RSS feed management and analysis directly within your AI assistant.
Provides a persistent semantic memory server, offering long-term context and recall for AI assistants across conversations.
Enables natural language querying of blockchain data across 70+ blockchain networks.
Convert REST API specifications into MCP (Model Context Protocol) tools for AI agents.
Manages image sessions and performs high-performance image processing operations using an MCP server.
Aggressively compacts and recycles context for Claude Code, saving tokens by structuring web research, task outputs, and conversations into efficient snapshots.
Provides a lightweight debugger for learning and experimentation with Windows executables, integrated with an MCP server for AI-driven control.
Generates intelligent trail recommendations for cyclists and mountain bikers by combining real-world map data with advanced routing analysis.
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