Discover our curated collection of MCP servers for data science & ml. Browse 9696 servers and find the perfect MCPs for your needs.
Provides a Model Context Protocol server implementation for memory stream functionality with Mem0 integration.
Powers dynamic, context-aware conversations using NVIDIA's AgentIQ and Llama3 within a LangGraph-orchestrated architecture.
Connects Claude Desktop to Intacct data through a read-only Model Context Protocol (MCP) server using CData JDBC Drivers.
Facilitates a modular, production-ready multi-agent system for advanced math, research, weather, and summarization tasks.
Integrates real-time weather data into large language models and Model Context Protocol clients.
Enables AI assistants to query and retrieve information from PDF files containing food service standards and preparation guidelines.
Provides a minimal, production-ready TypeScript starter template for building Model Context Protocol (MCP) servers.
Wraps a FastAPI application as an MCP server, enabling its endpoints to be called as tools directly via Gemini CLI.
Provides Model Context Protocol (MCP) access to the Generalitat Valenciana (GVA) GIS API for activities land data.
Unify agent wrappers and tool servers through a modular Go implementation of the Model Context Protocol, offering a single OpenAI-compatible API.
Provides comprehensive system information including CPU, memory, disk, network, and process data for AI agents to monitor and interact with Linux servers.
Provides AI-powered stock recommendations and market analysis reports through an API server for investors.
Transforms raw YouTube content into viral-optimized video clips using AI-powered search, motion-based highlight detection, and automated editing.
Analyzes university business incubators' performance, socio-human structures, and dynamic capabilities using a multi-theoretical framework.
Crafts interactive, agent-driven narrative experiences using database persistence for AI characters.
Assess AI training data quality, detect bias patterns, evaluate dataset provenance, and analyze data pipeline integrity for machine learning systems.
Provides persistent, structured memory for AI coding agents, ensuring your repository retains learned context across sessions.
Enables retrieval-augmented generation (RAG) by extracting, chunking, embedding, and semantically searching information from scanned, multi-column, and table-heavy PDF documents.
Provides AI agents with comprehensive access to US energy infrastructure data, including interconnection projects, distributed generation installations, developer intelligence, and tax credit information.
Accesses PubMed's extensive database for biomedical literature search and retrieval via NCBI E-utilities.
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