发现我们为 data science & ml 精心策划的 MCP 服务器集合。浏览 10275 个服务器,找到满足您需求的完美 MCP。
Executes Python code from LLM prompts within a specified Conda environment.
Provides a Model Context Protocol (MCP) implementation for the Opik platform, enabling seamless IDE integration and unified access to LLM application data.
Generates comprehensive, well-cited research reports from research questions by elaborating on the question, finding relevant sources, and analyzing content.
Enables the creation of a local MCP server using LlamaCloud to provide up-to-the-minute private information to clients like Claude.
Connect Claude to the Intervals.icu API to retrieve and interact with your fitness data.
Routes questions from AI assistants to human users via Discord to gather necessary input and judgment.
Dynamically generate visual charts and diagrams using Apache ECharts with AI-powered capabilities for data analysis.
Brings AI-powered business intelligence to ERPNext with natural language queries.
Automates Unity project development by enabling AI to autonomously compile, test, debug, and manipulate projects through integration with AI coding assistants.
Provides persistent, searchable local memory for AI assistants, LLMs, and Copilot within VS Code.
Enables local semantic code search, making entire codebases the context for coding agents like Claude Code, with zero API costs and enhanced privacy.
Democratize access to petabytes of satellite data by transforming AI assistants into geospatial intelligence powerhouses.
Provides an MCP server to enable AI-powered video generation and remixing through OpenAI's Sora 2 API.
Establishes a privacy-first, local RAG server for AI coding assistants, enabling semantic search over personal documents without exposing data to external services.
Facilitates true deliberative consensus among AI models by enabling multi-round debates to refine positions and reach informed decisions.
Provides AI-native access to Indonesian legal data, enabling grounded search and retrieval of laws and articles for users and AI models.
Analyzes codebases to detect tech stacks, identify growth opportunities, and generate actionable Product-Led Growth implementation plans.
Provides persistent, consensus-validated memory infrastructure for AI agents that integrates with any large language model.
Orchestrates AI-powered threat hunting and incident response by connecting large language models to enterprise security data in Elasticsearch and OpenSearch.
Compiles raw research and files into a persistent markdown wiki, knowledge graph, and search index for AI agents to leverage.
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