Discover our curated collection of MCP servers for data science & ml. Browse 6867servers and find the perfect MCPs for your needs.
Provides access to various Large Language Models (LLMs) through an MCP server.
Enables semantic search and API request execution for OpenAPI specifications, integrating seamlessly with Claude Desktop.
Enables querying OpenAI models directly from Claude using the MCP protocol.
Standardizes access to over 20 NASA data sources through a single, consistent interface for AI models.
Integrates OpenAI's o1 model and Flux capabilities through Model Context Protocol (MCP) servers.
Enables AI applications to access the Lara Translate API for seamless and high-quality translations.
Generates lyrics, songs, and background music through a Model Context Protocol (MCP) server.
Integrates the Fabric AI framework into Model Context Protocol (MCP) compatible applications.
Provides a comprehensive set of tools for AI-driven development workflows, enabling AI to assist in software development tasks by accessing both local and remote resources.
Automates Excel file creation, viewing, and modification using LLM capabilities via a C++-based MCP server.
Provides AI-powered search capabilities via a Model Context Protocol server, offering comprehensive information retrieval across the web, people profiles, and the X platform.
Provides an operating system for rapidly building and deploying extensible, secure AI agents with advanced architecture patterns.
Connects OpenAI's GPT-5 API to Claude Code environments for advanced AI capabilities.
Provides comprehensive context for AI models to assist in the development of SAP Cloud Application Programming Model (CAP) applications.
Connects AI assistants, developer IDEs, and data platforms to SurrealDB databases and SurrealDB Cloud.
Bridges AI coding assistants to OpenAI's Codex models via the official CLI for direct interaction.
Provides a central repository for biomedical ontologies, offering a single point of access to their latest versions.
Enables LLMs and agentic workflows to seamlessly interact with real-time and historical stock market data through the Model Context Protocol (MCP).
Equips AI assistants with local-first persistent memory for storing context, decisions, and knowledge across sessions.
Orchestrates multiple AI models through an 8-step workflow, delivering high-quality, validated code with token optimization and automatic context preservation.
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