Discover our curated collection of MCP servers for data science & ml. Browse 8804 servers and find the perfect MCPs for your needs.
Enables AI models to create and manipulate PowerPoint presentations through a comprehensive API.
Facilitates interaction with OpenAI, Anthropic, and EnrichB2B services using the Model Context Protocol.
Demonstrates the integration of computer vision tools with language models using MCP.
Enables BioStudies search integration within Claude Desktop using the Model Context Protocol.
Retrieves historical weather data from Visual Crossing's API.
Enables querying live XML Documents data from applications like Claude Desktop using CData JDBC Drivers.
Provides comprehensive guidance and best practices for creating and managing Kusto graph models in Azure Data Explorer.
Enables AI systems with advanced web scraping and crawling capabilities for intelligent content analysis.
Monitors real-time cryptocurrency prices using a local AI agent and integrates with Claude Desktop via an MCP server for database management.
Gathers information from various smart home devices and services around a house.
Track and analyze the scale of AI-generated code by counting lines of code, comments, and blank lines across various programming languages.
Enables AI agents and automation scripts to control and program a Commodore 64 via its REST API, specifically for Ultimate 64 hardware.
Converts various document types, including PDF, DOCX, PPTX, and images, into clean Markdown suitable for RAG/LLM workflows on the Apify platform.
Integrates CISA's Known Exploited Vulnerabilities (KEV) catalog and advanced threat intelligence into AI agent workflows for sophisticated cybersecurity analysis.
Orchestrates parallel AI agent sessions, enabling simultaneous execution of coding, planning, research, and testing tasks with isolated contexts and multi-account rate limit resilience.
Integrates AI music generation capabilities of Suno through the AceDataCloud API via the Model Context Protocol.
Aggregates global news from over 50 mainstream sources, delivering real-time data and analysis through APIs and a static frontend.
Exposes Raspberry Pi hardware and system capabilities through APIs, allowing AI agents and automation systems to interact with real-world devices.
Provides a production-ready TypeScript Model Context Protocol server for integrating AI assistants with Zebpay's spot and futures trading APIs via stdio transport.
Enables LLMs to query, analyze, and modify Enterprise Architecture models by exposing ArchiMate models through the Model Context Protocol.
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