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Deep Research MCP

Unclaimed last commit a year ago search
35Low

Scored 5 days ago · breakdown

About Deep Research MCP

Deep Research MCP is an MCP server published by JoshuaLelon in the Search category.

The repository has 11 stars and 5 forks, with the last commit a year ago. Six months or more without a commit doesn't mean the server is broken, but check the open issues before depending on it in production.

Install

From source
git clone https://github.com/JoshuaLelon/deep-research-mcp

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

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Security checks

Static checks derived from the repository 3 days ago. Heuristics on the source, not an audit.

  • ✓README presentThe repository ships documentation.
  • !License declaredNo license file. Legally you have no right to use it in a product.
  • !Tests presentNo tests found. Behaviour changes may go unnoticed between versions.
  • !Dependencies pinnedNo lockfile. Installs can pull different code over time.
  • ✓No dynamic code executionSource scan found no eval, dynamic Function, or shell execution.

1 check has not been run yet.

README

Deep Research MCP

This repository provides a multi-agent research framework using Python and MCP (Message Control Protocol). The default entrypoint is mcp_server.py, which sets up a FastMCP server named Deep Research and exposes a tool named deep_research.

Setup

  1. Clone the Repository:

    git clone https://github.com/yourusername/deep-research-mcp.git
    cd deep-research-mcp
    
  2. Create/Populate Your .env File:

    cp .env.example .env
    # Then edit the new .env file to fill in your secrets and environment variables
    # For example:
    # OPENAI_API_KEY=sk-123-yourkey
    # Additional environment variables can be placed here
    
  3. Install Dependencies:

    pip install -r multi_agents/requirements.txt
    
  4. Edit your claude_desktop_config.json file to include the following:

    {
        "mcpServers": {
            "deep-research-mcp": {
                "command": "path/to/your/python/interpreter",
                "args": [
                    "/path/to/this/project/deep-research-mcp/mcp_server.py"
                ]
            }
        }
    }
    
  5. Run the MCP Server:

    python mcp_server.py
    

    This starts the FastMCP tool server locally. From here, any MCP-compatible client or the CLI can invoke the deep_research tool.

Project Overview

  • multi_agents
    • agents: Contains the various AI agents (ResearchAgent, EditorAgent, etc.).
    • memory: Typed dictionaries to store research and draft states.
    • main.py: Core logic to load tasks and orchestrate agents.
    • README.md: Additional instructions on usage, file output settings, etc.
  • mcp_server.py: Main FastMCP server file (entrypoint).
  • utils: Shared functions and enums used across the codebase.
  • .gitignore, requirements.txt, etc.: Standard setup files.

Below is a copy of the multi_agents/README.md in a tree-like structure for reference:

multi_agents/
│
├─ README.md
│   └─ (Documentation on file output vs. direct return)
│
├─ agents/
│   ├─ __init__.py
│   ├─ browser.py
│   ├─ researcher.py
│   ├─ editor.py
│   ├─ writer.py
│   ├─ publisher.py
│   └─ ... (other agents)
│
├─ memory/
│   ├─ __init__.py
│   ├─ draft.py
│   └─ research.py
│
├─ main.py
├─ __init__.py
└─ requirements.txt

README fetched from the repository 3 days ago. The original is authoritative.

Questions

About Deep Research MCP

How do I install Deep Research MCP?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is Deep Research MCP safe to use with an AI agent?

Its trust score is 35 out of 100 (low). It passes 2 of the 5 static security checks run so far; the failures are listed above. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Deep Research MCP still maintained?

The last commit was a year ago and 1 open issues. That's long enough that you should check whether the maintainer is responding to issues before depending on it.