Discover our curated collection of MCP servers for data science & ml. Browse 7565 servers and find the perfect MCPs for your needs.
Manages and queries knowledge about codebases using vector embeddings.
Analyzes LinkedIn profiles by fetching, filtering, and managing post data, designed for integration with Claude AI.
Enables searching for research papers using the Semantic Scholar API within an MCP environment.
Enables LLM agents to access Perplexity's search-augmented AI capabilities via the Model Context Protocol.
Simulate AI-driven venture capitalist agents, continuously enriched by real-time market data, for investment-related tasks.
Integrates ComfyUI with MCP, enabling workflow execution and image generation.
Provides comprehensive access to Chinese stock market data through a unified API.
Retrieves League of Legends data for AI assistants via natural language queries using the Riot Games API.
Provides access to the Protein Data Bank (PDB) for information about 3D structures of proteins, nucleic acids, and complex assemblies.
Enables AI IDEs and chat interfaces to interact with Kestra through a Python-based server and various Kestra-specific tools.
Provides fast C++ code intelligence to large language models and coding agents via the Model Context Protocol.
Queries multiple AI models in parallel, synthesizes responses to reduce bias, and improves accuracy through ensemble decision-making.
Provides an MCP server to access UK parliamentary data and enhance research with semantic search capabilities.
Enhances AI coding assistants by providing a persistent memory and cross-project intelligence layer within integrated development environments.
Analyzes Java class files, decompiles them, scans Maven dependencies, and extracts method lists to enhance Large Language Models' code analysis capabilities.
Automate the creation of complete RPG Maker MZ games programmatically, including AI-generated assets and scenarios.
Implement a comprehensive, scalable machine learning inference architecture on Amazon EKS for deploying Large Language Models (LLMs) with agentic AI capabilities, including Retrieval Augmented Generation (RAG) and intelligent document processing.
Provides a hyper-personal, always-on, open-source AI companion for automating personal and professional tasks.
Provides AI assistants with programmatic access to the Midnight blockchain, enabling contract search, code analysis, and documentation exploration.
Triangulates customer support tickets and feature requests to help product managers decide what to build next.
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