data science & ml를 위한 엄선된 MCP 서버 컬렉션을 찾아보세요. 6274개의 서버를 탐색하고 필요에 맞는 완벽한 MCP를 찾아보세요.
Facilitates advanced reverse engineering tasks by acting as a model-agnostic AI assistant within environments like Ghidra, leveraging a tool-driven approach.
Enables any LLM to interactively debug code in any language through MCP and a VS Code Extension.
Quickly scaffolds Python projects for Model Context Protocol (MCP) servers.
Provides a Model Context Protocol (MCP) server implementation with database capabilities powered by Chroma for LLM applications.
Enables ultra-fast, cognitive code search for AI agents by inferring intent from code structure without reading files.
Provides a Model Context Protocol (MCP) server for interacting with dbt projects.
Implements strategic pattern interrupts in AI workflows to prevent cascading errors and tunnel vision.
Enables large language models to interact with Alpaca's trading infrastructure using natural language for stock and option trading.
Combines search and Large Language Models (LLMs) to generate insights from your data using Retrieval Augmented Generation (RAG).
Accelerate PDF document processing for AI agents by extracting text, images, and metadata with parallel execution and precise content ordering.
Provides a comprehensive backtesting framework for algorithmic trading strategies, supporting multiple markets and featuring CLI tools and an integrated MCP server.
Provides a secure runtime environment for fully-autonomous AI agents, designed for enterprise-grade deployment.
Empower users to build collaborative AI agents rapidly with a simple UI, supporting local and remote AI models, crypto payments, and multi-platform compatibility.
Transforms codebases into searchable knowledge bases for AI assistants, providing both semantic and regex search capabilities via the Model Context Protocol.
Enables AI assistants and automated analysis tools to interact with Ghidra's reverse engineering capabilities through a standardized API.
Automatically annotates papers using Large Language Models (LLMs) to provide contextual information while reading.
Automates and simplifies diverse research workflows by integrating large language models with web search, social media, mapping, and code exploration.
Enables SQL analytics capabilities for Claude by integrating MotherDuck and local DuckDB.
Facilitates biomedical research by providing an open-source toolkit for AI assistants and agents to search and retrieve data on clinical trials, PubMed articles, and genomic variants.
Enables AI agents to manage and search data within Redis using natural language.
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