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Provides deep, iterative research with source reliability scoring and markdown reports for MCP-enabled AI agents.
Configuration
View docs{
"mcpServers": {
"ozamatash-deep-research-mcp": {
"url": "http://localhost:3000/mcp",
"headers": {
"XAI_API_KEY": "YOUR_XAI_API_KEY",
"GOOGLE_API_KEY": "YOUR_GOOGLE_API_KEY",
"OPENAI_API_KEY": "YOUR_OPENAI_API_KEY",
"ANTHROPIC_API_KEY": "YOUR_ANTHROPIC_API_KEY"
}
}
}
}Open Deep Research MCP Server is an AI-powered research assistant that performs deep, iterative research on any topic. It combines search, data gathering, and AI processing to produce comprehensive reports, and can run as an MCP tool or a standalone CLI for flexible usage.
Use the MCP client to connect to the Open Deep Research MCP Server and start research sessions. The server can run locally or be accessed remotely via HTTP. It will generate targeted search queries, perform web scraping as needed, evaluate source reliability, and produce a structured Markdown report with findings, sources, and reliability assessments.
git clone https://github.com/Ozamatash/deep-research
cd deep-research
npm installcp .env.example .env.localnpm run buildnpm run startnpm run start:httpThe server is designed to run on http://localhost:3000/mcp when using the HTTP method. A quick-start path includes cloning, installing dependencies, building, and starting the server, followed by optional testing with Claude Desktop by following the provided setup guidance.
Generates targeted search queries to drive deep, iterative research.
Performs web searches and collects sources for evaluation.
Evaluates source reliability with detailed scores and reasoning.
Produces detailed Markdown reports with findings, sources, and reliability assessments.
Creates follow-up questions to refine research directions.