Discover our curated collection of MCP servers for data science & ml. Browse 8922 servers and find the perfect MCPs for your needs.
Exposes API Market's endpoints as Model Context Protocol (MCP) resources, allowing Large Language Models to discover and interact with over 200 APIs defined by OpenAPI specifications.
Enables AI assistants to retrieve Monobank statements and transaction data.
Integrates with the Crawl4ai API, enabling web crawling using specified strategies and providing access to crawl results.
Performs geospatial calculations and coordinate system conversions.
Enables AI agents to perform web searches via the Bocha API using the Model Context Protocol.
Aggregates tools from multiple MCP servers into a vector database, enabling Large Language Models to efficiently search and utilize a collective set of capabilities.
Provides comprehensive tools to support mathematical optimization using JijModeling and quantum computing tasks with Qiskit.
Transforms any GitHub repository into a searchable knowledge base for AI agents.
Manages and registers Model Context Protocol services to facilitate AI agent interactions.
Generates high-quality images from text descriptions using Google's Imagen 4.0 models via the Model Context Protocol.
Enhances LLM agent capabilities with semantic code search, structural code views, and an intelligent workspace TUI for efficient context management.
Connects AI agents to Google Maps Platform APIs for real-world location intelligence, directions, geocoding, and road network data.
Consolidates multiple Model Context Protocol (MCP) servers behind a single, intelligent interface to drastically reduce context window usage for AI agents.
Integrates Google's Gemini API, offering a direct interface for AI model interactions including text, image, and video generation.
Orchestrates the complete machine learning lifecycle, from secure credential management and dataset preparation to multi-backend model training, cloud GPU provisioning, experiment tracking, and local model deployment.
Provides a comprehensive toolkit for enhancing AI development environments with persistent memory, AI code review, and session automation.
Provides a local, persistent AI memory layer within your IDE to store project context and decisions across sessions.
Provides a comprehensive Model Context Protocol (MCP) server, offering extensive capabilities for filesystem, diagnostics, scripting, time, network, context, Git, user input, and agent-centric version control operations.
Provides structured forensic analysis tools for macOS triage collections, enabling efficient Digital Forensics and Incident Response (DFIR).
Automates the discovery, evaluation, installation, and orchestration of skills for AI agents, providing a centralized and trusted skill management system.
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