Enables AI models to generate synthetic data, manage templates and connections, push data to destinations, and execute Python scripts using DataMaker's data generation platform. Automatically handles large datasets by storing them to S3 with secure access links.
MCP server with 32 tools for ETL ingestion, AI-generated data quality rules, AI transformations, vector search, and natural-language SQL. Works across Postgres, MongoDB, Kafka, S3/MinIO, HashiCorp Vault, and five vector stores (Qdrant, Weaviate, Milvus, Chroma, pgvector).
A Model Context Protocol server that allows execution of Python code within Daytona workspaces, providing a secure and isolated environment for executing and managing Python scripts.
An MCP server that enables users to control a full Chrome browser running in a Daytona cloud sandbox, allowing web browsing, interaction, and screenshot capture through Claude or other MCP clients.
Cloud streaming for AI agents — isolated browser environments that render and broadcast your content to Twitch, Kick, Restream, and custom RTMP.
A universal database gateway MCP server that enables AI assistants to connect to and query multiple databases (PostgreSQL, MySQL, MariaDB, SQL Server, SQLite) with support for schema exploration, SQL execution, and secure connections via SSH tunnels.
Database MCP server for MySQL, MariaDB, PostgreSQL & SQLite
An MCP plugin that provides access to NCBI's dbSNP database, allowing developers to retrieve genetic variant information, search for SNPs, and access clinical significance data directly in their development environment.
A Model Context Protocol server generated via the Postman MCP Generator that provides administrative API tools for LLMs. It exposes Postman-defined API requests as standardized tools, enabling secure interaction with web services through environment-based authentication.
Enables AI assistants to facilitate structured multi-model debates that synthesize multiple perspectives into clear categories like ground truths and blind spots. It provides tools for running real-time debates, checking model health, and managing history via the Model Context Protocol.
Enables AI coding agents to debug Python projects by running pytest, extracting failure locations, displaying code context around failures, and optionally requesting fix suggestions from Gemini.
Enables AI-powered querying and serving of markdown documentation with search, Q\&A capabilities, and document analysis. Built for the YC Agents Hackathon with OpenAI integration and rate limiting protection.
Enables serving and querying documentation with AI capabilities, allowing users to search, ask questions, and get AI-powered answers from their documentation files. Built for seamless deployment on the Dedalus platform with OpenAI integration for enhanced document analysis.
Enables AI-powered querying and management of documentation through markdown file serving, keyword search, and OpenAI-based Q\&A capabilities. Supports document indexing, analysis, and agent handoffs with rate limiting protection.
Enables serving and querying documentation with AI-powered capabilities including markdown file serving, keyword search, and intelligent Q\&A using OpenAI integration.
全面解析Deep Research MCP ServerMCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器，Deep Research MCP Server能让AI助手访问实时数据、执行操作，为您提供更智能的工作体验和自动化解决方案。
安装状态
已补齐
命令预览
npm install deep-research-cli -g
Enables integration and control of DeepSeek and Claude AI models through RESTful APIs, supporting seamless AI model operations with configurable parameters and robust error handling.
Pairs Claude Code with Google's Gemini AI for complementary code analysis, enabling intelligent routing where Claude handles local-context operations while Gemini leverages its 1M token context for distributed system debugging and long-trace analysis.
Provides AI editors with access to Deepgram's speech-to-text transcription and audio intelligence tools. Dynamically fetches available capabilities from Deepgram's API at runtime, ensuring access to new features without package upgrades.
Enables speech-to-text transcription, text-to-speech synthesis, and audio analysis using Deepgram's AI models. Supports features like speaker diarization, sentiment analysis, language detection, and various audio processing capabilities.
