发现我们为 data science & ml 精心策划的 MCP 服务器集合。浏览 6290 个服务器,找到满足您需求的完美 MCP。
Provides AI-powered deep research and evidence synthesis for sexual health topics across multiple biomedical sources.
Establishes a Zettelkasten-inspired agentic memory system for LLM agents, offering deep integration with IDE environments.
Provides an MCP server for AI agents to interact with GitLab, offering extensive tools for repository, issue, merge request, and pipeline management.
Offers a hybrid AI-powered platform for comprehensive LGPD and GDPR compliance, ensuring maximum data privacy with local processing and premium legal knowledge.
Deploys Kyutai TTS with a web UI, REST API, and MCP support in an all-in-one Docker image, featuring robust GPU management.
Bridges the gap between large language models (LLMs) and existing RESTful business systems by providing a generic Model Context Protocol (MCP) server.
Enables Large Language Models to interact with ShotGrid directly by providing a modern Rust client and native Model Context Protocol (MCP) server.
Manages persistent knowledge graphs for AI systems like Claude, providing high-performance memory storage via the Model Context Protocol.
Enables AI-powered conjoint experiments and causal research through an MCP server compatible with various AI assistants.
Provides a Model Context Protocol (MCP) server for integrating Dolphin's semantic code search capabilities into various AI development environments.
Provides AI-assisted programming capabilities by encapsulating the Factory.ai Droid CLI within a high-performance Rust MCP server.
Provides a Dockerized framework combining PostGIS and pgvector to process and serve comprehensive geospatial data with vector similarity search capabilities.
Transforms complex financial data into actionable intelligence through graph-based analytics and AI-powered insights.
Performs high-performance web analysis, content summarization, and structured data extraction for diverse applications.
Delivers rigorous, theoretically-grounded causal inference capabilities for Large Language Model agents.
Provides a semantic layer for BigQuery datasets, enabling large language models to easily query and analyze structured data.
Automates event-driven workflows with AI agents, incorporating human approval for sensitive operations across integrated tools.
Provides a persistent quantitative workspace for mathematical operations, data visualization, and cross-session state via the Model Context Protocol.
Empowers AI development by enabling agents to learn from past experiences, reducing repetitive trial-and-error and optimizing token usage.
Enables AI assistants to interact with the Bit2Me digital assets platform for real-time market data, wallet management, and trading operations.
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