Discover our curated collection of MCP servers for data science & ml. Browse 6792servers and find the perfect MCPs for your needs.
Provides a Model Context Protocol (MCP) memory server with a DuckDB backend for knowledge graph storage and retrieval.
Enables AI users to execute MATLAB code, generate scripts from natural language, and access documentation directly within conversations.
Connects a local Zotero library with Claude's desktop interface for direct read access.
Decomposes complex problems into independent atomic units of thought, enabling robust reasoning and validated insights.
Retrieves real-time and historical Crypto Fear & Greed Index data from Alternative.me.
Provides a complete walkthrough for building a server to serve a trained Random Forest model and integrating it with Bee Framework for ReAct interactivity.
Connects Claude Desktop to Azure AI Search capabilities through a Model Context Protocol (MCP) server.
Enables querying of a hybrid graph and vector database using the Model Context Protocol for enhanced document retrieval.
Integrates Naver Search and DataLab APIs for comprehensive searching and trend analysis across Naver services.
Build and run Nostr NIP90 Data Vending Machines (DVMs) in Python.
Enables Large Language Models to securely query and analyze Azure Cosmos DB data through a standardized interface.
Fetches portfolio details from the Interactive Brokers (IBKR) API.
Enables language models to perform symbolic mathematics and computer algebra through tool-calling.
Provides a lightweight, local RAG memory store for Model Context Protocol (MCP) agents.
Enables AI agents to intelligently search, retrieve, and analyze biomedical literature from PubMed using the Model Context Protocol.
Transforms OpenAPI/Swagger specifications into Model Context Protocol (MCP) format, enabling AI assistants to interact with REST APIs through a standardized protocol.
Provides an advanced Model Context Protocol (MCP) server for seamless access to Israeli Government Open Data via data.gov.il.
Automatically transforms CAP OData services into AI-accessible resources, tools, and prompts with minimal configuration.
Empower AI agents with instant, hallucination-free access to your codebase and documentation through an intelligent local semantic search engine.
Empower AI assistants like Claude Code and OpenClaw with local GPU image generation, a vast prompt library, and multi-direction parallel output capabilities.
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