Openai Deep Research Mcp

by fbettag

455 downloads

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GitHub

About

OpenAI Deep Research MCP Server enables AI assistants to conduct comprehensive, multi-step research through intelligent web search and content synthesis. Transforms complex research queries into structured, citation-backed reports without writing custom search logic. Features ite

Details

Author: fbettag
Downloads: 455
Categories: AI, Automation

- Multi-step exploration that identifies knowledge gaps automatically
- Comprehensive web scraping with structured data extraction
- Smart synthesis combining multiple sources into coherent reports
- Proper academic citations with numbered references
- MCP standard compliance for client interoperability
- SSE transport enabling real-time streaming responses
- Token optimization to work within LLM context limits
- Error resilience with graceful failure handling and partial reports

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

Download and install Highlight from highlightai.com/download
Navigate to the plugins tab and select "Add Custom Plugin"
Configure the plugin with the settings below

Plugin Name Openai Deep Research Mcp

Command (node, npx, python, etc.)

Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
Enable "Start Automatically" if you want the plugin to start when Highlight launches

Setting up with Cursor

Open Cursor's settings
Navigate to the MCP section
Click "Add new Global MCP server"
Copy and paste the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "openai deep research mcp": {
            "openai-deep-research": {
                "command": "npx",
                "args": [
                    "github:fbettag/openai-deep-research-mcp"
                ],
                "env": {
                    "OPENAI_API_KEY": "sk-your-openai-api-key-here"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "openai deep research mcp": {
            "openai-deep-research": {
                "command": "npx",
                "args": [
                    "github:fbettag/openai-deep-research-mcp"
                ],
                "env": {
                    "OPENAI_API_KEY": "sk-your-openai-api-key-here"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "openai deep research mcp": {
            "openai-deep-research": {
                "command": "npx",
                "args": [
                    "github:fbettag/openai-deep-research-mcp"
                ],
                "env": {
                    "OPENAI_API_KEY": "sk-your-openai-api-key-here"
                }
            }
        }
    }
}

Setting up with Claude Desktop

Open Claude Desktop's settings
Go to the Integrations tab
Click "Add MCP Server"
Use the configuration below based on your operating system

Note: Make sure Claude Desktop is running before attempting to connect.

JSON

{
    "mcpServers": {
        "openai deep research mcp": {
            "openai-deep-research": {
                "command": "npx",
                "args": [
                    "github:fbettag/openai-deep-research-mcp"
                ],
                "env": {
                    "OPENAI_API_KEY": "sk-your-openai-api-key-here"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "openai deep research mcp": {
            "openai-deep-research": {
                "command": "npx",
                "args": [
                    "github:fbettag/openai-deep-research-mcp"
                ],
                "env": {
                    "OPENAI_API_KEY": "sk-your-openai-api-key-here"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "openai deep research mcp": {
            "openai-deep-research": {
                "command": "npx",
                "args": [
                    "github:fbettag/openai-deep-research-mcp"
                ],
                "env": {
                    "OPENAI_API_KEY": "sk-your-openai-api-key-here"
                }
            }
        }
    }
}

Setting up with Windsurf

Open Windsurf's preferences
Go to the Integrations section
Click "Add MCP Integration"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "openai deep research mcp": {
            "openai-deep-research": {
                "command": "npx",
                "args": [
                    "github:fbettag/openai-deep-research-mcp"
                ],
                "env": {
                    "OPENAI_API_KEY": "sk-your-openai-api-key-here"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "openai deep research mcp": {
            "openai-deep-research": {
                "command": "npx",
                "args": [
                    "github:fbettag/openai-deep-research-mcp"
                ],
                "env": {
                    "OPENAI_API_KEY": "sk-your-openai-api-key-here"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "openai deep research mcp": {
            "openai-deep-research": {
                "command": "npx",
                "args": [
                    "github:fbettag/openai-deep-research-mcp"
                ],
                "env": {
                    "OPENAI_API_KEY": "sk-your-openai-api-key-here"
                }
            }
        }
    }
}

Setting up with Cline

Open Cline's settings
Navigate to the Integrations section
Click "Add MCP Server"
Copy and paste the configuration below based on your operating system

Note: Make sure to restart Cline after adding the configuration.

JSON

{
    "mcpServers": {
        "openai deep research mcp": {
            "openai-deep-research": {
                "command": "npx",
                "args": [
                    "github:fbettag/openai-deep-research-mcp"
                ],
                "env": {
                    "OPENAI_API_KEY": "sk-your-openai-api-key-here"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "openai deep research mcp": {
            "openai-deep-research": {
                "command": "npx",
                "args": [
                    "github:fbettag/openai-deep-research-mcp"
                ],
                "env": {
                    "OPENAI_API_KEY": "sk-your-openai-api-key-here"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "openai deep research mcp": {
            "openai-deep-research": {
                "command": "npx",
                "args": [
                    "github:fbettag/openai-deep-research-mcp"
                ],
                "env": {
                    "OPENAI_API_KEY": "sk-your-openai-api-key-here"
                }
            }
        }
    }
}

Setting up with Goose

Open Goose's preferences
Go to the Integrations tab
Select "MCP Servers"
Click "Add New Server"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "openai deep research mcp": {
            "openai-deep-research": {
                "command": "npx",
                "args": [
                    "github:fbettag/openai-deep-research-mcp"
                ],
                "env": {
                    "OPENAI_API_KEY": "sk-your-openai-api-key-here"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "openai deep research mcp": {
            "openai-deep-research": {
                "command": "npx",
                "args": [
                    "github:fbettag/openai-deep-research-mcp"
                ],
                "env": {
                    "OPENAI_API_KEY": "sk-your-openai-api-key-here"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "openai deep research mcp": {
            "openai-deep-research": {
                "command": "npx",
                "args": [
                    "github:fbettag/openai-deep-research-mcp"
                ],
                "env": {
                    "OPENAI_API_KEY": "sk-your-openai-api-key-here"
                }
            }
        }
    }
}

From the repository

Install the server using npx with the command npx github:fbettag/openai-deep-research-mcp. Then configure it with your OpenAI API key and add it to your MCP client (such as Claude Desktop or Cursor) following the client’s documentation.

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "openai deep research mcp": {
            "openai-deep-research": {
                "command": "npx",
                "args": [
                    "github:fbettag/openai-deep-research-mcp"
                ],
                "env": {
                    "OPENAI_API_KEY": "sk-your-openai-api-key-here"
                }
            }
        }
    }
}

McpServers

{
    "openai-deep-research": {
        "command": "npx",
        "args": [
            "github:fbettag/openai-deep-research-mcp"
        ],
        "env": {
            "OPENAI_API_KEY": "sk-your-openai-api-key-here"
        }
    }
}

OpenAI Deep Research MCP Server

A powerful Model Context Protocol (MCP) server that brings OpenAI's Deep Research capabilities to your AI applications through standardized search and fetch operations.

Overview

The OpenAI Deep Research MCP Server enables AI assistants to perform comprehensive, multi-step research on any topic. By implementing the MCP standard with intelligent search and retrieval capabilities, it transforms how AI applications conduct in-depth research and generate scholarly reports.

Key Features

🔍 Intelligent Research Capabilities

- Multi-step exploration: Automatically identifies knowledge gaps and generates focused search queries - Comprehensive content extraction: Enhanced web scraping with structured data retrieval - Smart synthesis: Combines multiple sources into coherent, well-structured reports - Citation management: Proper academic citations with numbered references

⚡ Technical Excellence

- MCP standard compliance: Works seamlessly with Claude Desktop, Cursor, and other MCP clients - SSE transport: Real-time streaming for responsive research workflows - Token optimization: Intelligent content management to work within LLM context limits - Error resilience: Graceful handling of failures with partial report generation

🎯 Use Cases

- Academic Research: Literature reviews, thesis research, scholarly analysis - Business Intelligence: Market analysis, competitive research, trend identification - Content Creation: In-depth articles, fact-checking, comprehensive guides - Policy Research: Evidence-based recommendations, regulatory analysis - Technical Documentation: API research, technology comparisons, implementation guides

Installation

Using npx (Recommended)

```bash npx github:fbettag/openai-deep-research-mcp

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About

Details

Jump to

Setting up with Highlight

From the repository

Claude Desktop / Cursor

McpServers

OpenAI Deep Research MCP Server

Overview

Key Features

🔍 Intelligent Research Capabilities

⚡ Technical Excellence

🎯 Use Cases

Installation

Using npx (Recommended)

Install

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