No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by pminervini · MCP Server · ★ 102
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Deep Research MCP A Python-based agent that integrates research providers with Claude Code through the Model Context Protocol (MCP). It supports OpenAI (Responses API with web search and code interpreter, or Chat Completions API for broad provider compatibility) and the open-source Open Deep Research stack (based on smolagents). Prerequisites Python 3.9+ One of: OpenAI API access (Responses API models, e.g., ) Open Deep Research dependencies (installed via ) Claude Code, or any other assistant supporting MCP integration Configuration Configuration File Create a file in your home directory using TOML format. Common settings: toml [research] # Core Deep Research functionality provider = "openai" # Available options: "openai", "open-deep-research" -- defaults to "openai" apistyle = "responses" # "responses" (default) or "chatcompletions" -- use "chatcompletions" for Perplexity, Groq, Ollama, etc.
| Stars | 102 |
| Forks | 12 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 71.4301642563094/100 |
| Last Updated | 2026-08-05 |
| Created | 2025-08-07 |
| Platforms | claude-code, mcp, python |
| Est. Tokens | ~31k |
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deep-research-mcp is MCP server for integrating OpenAI's Deep Research APIs and Hugging Face's Open Deep Research with Claude Code and other AI assistants. It is categorized as a MCP Server with 102 GitHub stars.
deep-research-mcp is primarily written in Python.
You can find installation instructions and usage details in the deep-research-mcp GitHub repository at github.com/pminervini/deep-research-mcp. The project has 102 stars and 12 forks, indicating an active community.
deep-research-mcp is released under the MIT license, making it free to use and modify according to the license terms.