Discover our curated collection of MCP servers for data science & ml. Browse 10258 servers and find the perfect MCPs for your needs.
Build Model Context Protocol (MCP) servers with embedded LLM reasoning capabilities.
Provides access to housing-related data in Hong Kong via a FastMCP interface.
Enables AI agents to automatically discover, fetch, and process open civic datasets from Dresden's OpenData Portal.
Analyzes food images to detect items, calculate calories and protein content, and answer nutrition-related questions using AI.
Enhances and cleans raw prompts using AI, improving clarity, actionability, and effectiveness.
Analyzes code for security risks and manages code snapshots using AI, integrating directly with Model Context Protocol-compatible AI tools.
Integrates the Famulor Voice Agent Platform with MCP-compatible clients to enable AI-powered phone calls, voice assistant management, and call data retrieval.
Provides image viewing capabilities for AI agents, accepting images via file path or base64 data and returning them in a standardized multipart format with metadata.
Connects MCP clients to BatchData's comprehensive real estate data and services, including property lookup, comparable analysis, and contact information.
Offers AI-powered travel planning tools and real-time weather information for Cox's Bazar, Bangladesh.
Establishes a tamper-evident, hash-chained public ledger to record and verify the work of AI agents.
Provides three production-grade MCP servers and an AI automation framework for diverse business intelligence, API integration, and content automation needs.
Provides AI coding agents with structurally precise code subgraphs from a local-first, graph-based context manager, enabling deep code intelligence.
Equips AI agents with persistent, versioned memory capabilities that span sessions and projects.
Delivers real-time energy signal data and market intelligence to AI agents for consumption optimization.
Provides structured UI/UX design inspiration to AI coding agents, powered by Mobbin via the TinyFish API with an intelligent fallback dataset.
Provides AI agents with persistent, infinite long-term memory across sessions and various tools.
Integrate real-time and historical Formula 1 data with Claude, transforming it into a knowledgeable race engineer.
Cleanse, standardize, and normalize messy data efficiently for robust data pipelines.
Connects AI assistants like Claude and Cursor to a Bayesian Marketing Mix Modeling platform for natural language data upload, model building, budget optimization, and scenario forecasting.
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