Discover our curated collection of MCP servers for data science & ml. Browse 7565 servers and find the perfect MCPs for your needs.
Collects, processes, and analyzes Bing search data to extract insights and patterns.
Retrieves daily stock market data from the Alpha Vantage API through a Model Context Protocol (MCP) interface.
Provides a Model Context Protocol (MCP) server implementation for the Jina.ai Reader API.
Provides access to Whissle API endpoints for speech-to-text, diarization, translation, and text summarization.
Provides an MCP server to access and analyze Canadian statistical data from Statistics Canada.
Empowers AI assistants with intelligent access to ML textbook content for creating accurate, source-grounded documentation.
Organizes, tests, and manages AI prompts with collections, dynamic variables, execution history, and Model Context Protocol (MCP) integration.
Connects large language models to live SAP Ariba Procurement data, enabling natural language querying.
Exposes any GraphQL API as a set of tools consumable by Large Language Models (LLMs) via the Model Context Protocol (MCP).
Provides programmatic access to the GNU Debugger (GDB) through a standardized interface, enabling AI models and other clients to interact with debugging capabilities.
Aggregates live governance proposals from major DAOs, enabling real-time tracking and analysis of decentralized decision-making.
Provides Model Context Protocol (MCP) server capabilities to query SPARQL endpoints, with specialized support for Proto-OKN knowledge graphs hosted on the FRINK platform.
Empowers large language models to query and analyze user session data from OpenReplay, facilitating AI-powered insights into user behavior and application performance.
Enables AI assistants to generate and control real-time audio synthesis through natural language descriptions using SuperCollider.
Automates Cardano blockchain operations through intelligent AI-powered voice commands and real-time speech recognition.
Provides AI-native access to the MITRE ATT&CK threat intelligence framework with over 80 tools for querying techniques, tactics, groups, software, and mitigations across Enterprise, Mobile, and ICS domains.
Builds a temporal knowledge graph of your codebase to prevent AI hallucinations, repeated mistakes, and regressions in Claude Code.
Enables an LLM to play the classic roguelike game NetHack.
Empowers AI agents to retrieve schema context, validate intent, and fetch live business data directly from Oracle Fusion Cloud with real-time SQL execution.
Provides runtime defense for AI agents by intercepting prompts and LLM responses through a pipeline of inline defenses and output scanners.
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