Skip to main content

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

Metadata

Release files for iflow-mcp_joshualelon-deep-research-mcp 0.1.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for iflow-mcp_joshualelon-deep-research-mcp 0.1.0
File Size Uploaded
iflow_mcp_joshualelon_deep_research_mcp-0.1.0.tar.gz 283.6 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for iflow-mcp_joshualelon-deep-research-mcp 0.1.0
File Interpreter ABI Platform
iflow_mcp_joshualelon_deep_research_mcp-0.1.0-py3-none-any.whl Python 3 none any Details

Total release size: 583.2 kB

Release files / iflow_mcp_joshualelon_deep_research_mcp-0.1.0.tar.gz

Download URL iflow_mcp_joshualelon_deep_research_mcp-0.1.0.tar.gz
Size 283.6 kB
Tags Source
SHA-256 checksum
How to use checksums
ad2d36666c7206a175bc22aeb6746d2ec0a1b298bd586ed7dc3b26618a346f6e
BLAKE2b-256 checksum
How to use checksums
3a6464e0a4ecced9993b76fa6b50b5119cce32028b5a1a1ba4838847aab34a3c
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via uv/0.10.2 {"installer":{"name":"uv","version":"0.10.2","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Debian GNU/Linux","version":"13","id":"trixie","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}

Release files / iflow_mcp_joshualelon_deep_research_mcp-0.1.0-py3-none-any.whl

Download URL iflow_mcp_joshualelon_deep_research_mcp-0.1.0-py3-none-any.whl
Size 299.6 kB
Tags Python 3
SHA-256 checksum
How to use checksums
47f6a6afa685309d3ebe760f6ed1d9334edff060f1e919d7ad316a8d17862b01
BLAKE2b-256 checksum
How to use checksums
59cb37664d2e6cd652b0d0c14c4305a591f0a797110d334ea8cf79fce3f2631e
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via uv/0.10.2 {"installer":{"name":"uv","version":"0.10.2","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Debian GNU/Linux","version":"13","id":"trixie","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}

Release history Release notifications | RSS feed

This release

0.1.0 This release

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page