Discover our curated collection of MCP servers for data science & ml. Browse 8922 servers and find the perfect MCPs for your needs.
Enables image generation and editing within MCP-compatible clients using OpenAI's GPT-4o/gpt-image-1 APIs.
Converts natural language questions into SQL or semantic search queries over data stored in Oracle Autonomous Database.
Provides a production-grade A/B testing framework with three levels of scientific rigor for comparing large language model (LLM) outputs.
Enables LLM agents to securely connect to and query Snowflake databases, acting as a bridge for seamless SQL execution.
Tracks Ethereum’s validator activation and exit queues in real time for AI agents and real-time monitoring.
Provides long-term memory storage for conversational agents, accessible via a Model Context Protocol server.
Integrates Blender functionalities with various large language models through a unified server, enabling advanced 3D automation and content generation workflows.
Develop modern, type-safe Model Context Protocol servers for TypeScript applications with versatile API styles.
Automates comprehensive statistical analysis and report generation from MySQL databases, providing AI assistants with powerful data processing capabilities.
Enhances large language model reasoning, memory, and orchestration through a standardized context engineering protocol.
Empower AI systems with a structured, long-term memory to enhance recall and manage knowledge dynamically.
Enables lossless restoration of LLM context across sessions by persisting KV cache tensors.
Integrates global economic indicators from the World Bank with child welfare metrics from UNICEF into a comprehensive dataset.
Provides privacy-first personal health intelligence by translating health data into quantitative signals, performing anomaly detection, and offering AI-driven analysis while keeping raw data encrypted.
Aggregates biomedical knowledge graphs using HPC pipelines, ontologies, and LLM embeddings to enable integrated queries.
Translates natural-language queries into validated SPARQL to retrieve and synthesize prosopographic data from the Roman Republic.
Provides AI assistants with access to SEC-registered financial advisor data for comprehensive lookups and risk assessments.
Provides essential infrastructure for autonomous agents, including intelligent LLM recommendations, real-time availability monitoring, and memory compression.
Perform fast, context-based text retrieval across large document collections using vector embeddings and intelligent caching.
Integrate US business entity data, SEC filings, federal contracts, and lobbying disclosures into AI agents.
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