OpenAI Agents

by lroolle

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About

Exposes OpenAI's agent capabilities for web search, file search, and computer actions through specialized agents and a multi-agent orchestrator that coordinates between them based on task requirements.

Details

Author: lroolle
Repository: lroolle/openai-agents-mcp-server
GitHub stars: 1
Categories: Productivity, Design, Workplace, File Management, AI, Search, Project Management, Knowledge Base, Infrastructure
Tags: #web

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 Agents

Command (node, npx, python, etc.) uvx
Arguments
- Argument 1 openai-agents-mcp-server
Environment
- OPENAI_API_KEY your-api-key-here
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 agents": {
            "env": {
                "OPENAI_API_KEY": "your-api-key-here"
            },
            "args": [
                "openai-agents-mcp-server"
            ],
            "command": "uvx"
        }
    }
}

JSON

{
    "mcpServers": {
        "openai agents": {
            "env": {
                "OPENAI_API_KEY": "your-api-key-here"
            },
            "args": [
                "openai-agents-mcp-server"
            ],
            "command": "uvx"
        }
    }
}

JSON

{
    "mcpServers": {
        "openai agents": {
            "env": {
                "OPENAI_API_KEY": "your-api-key-here"
            },
            "args": [
                "openai-agents-mcp-server"
            ],
            "command": "uvx"
        }
    }
}

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 agents": {
            "env": {
                "OPENAI_API_KEY": "your-api-key-here"
            },
            "args": [
                "openai-agents-mcp-server"
            ],
            "command": "uvx"
        }
    }
}

JSON

{
    "mcpServers": {
        "openai agents": {
            "env": {
                "OPENAI_API_KEY": "your-api-key-here"
            },
            "args": [
                "openai-agents-mcp-server"
            ],
            "command": "uvx"
        }
    }
}

JSON

{
    "mcpServers": {
        "openai agents": {
            "env": {
                "OPENAI_API_KEY": "your-api-key-here"
            },
            "args": [
                "openai-agents-mcp-server"
            ],
            "command": "uvx"
        }
    }
}

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 agents": {
            "env": {
                "OPENAI_API_KEY": "your-api-key-here"
            },
            "args": [
                "openai-agents-mcp-server"
            ],
            "command": "uvx"
        }
    }
}

JSON

{
    "mcpServers": {
        "openai agents": {
            "env": {
                "OPENAI_API_KEY": "your-api-key-here"
            },
            "args": [
                "openai-agents-mcp-server"
            ],
            "command": "uvx"
        }
    }
}

JSON

{
    "mcpServers": {
        "openai agents": {
            "env": {
                "OPENAI_API_KEY": "your-api-key-here"
            },
            "args": [
                "openai-agents-mcp-server"
            ],
            "command": "uvx"
        }
    }
}

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 agents": {
            "env": {
                "OPENAI_API_KEY": "your-api-key-here"
            },
            "args": [
                "openai-agents-mcp-server"
            ],
            "command": "uvx"
        }
    }
}

JSON

{
    "mcpServers": {
        "openai agents": {
            "env": {
                "OPENAI_API_KEY": "your-api-key-here"
            },
            "args": [
                "openai-agents-mcp-server"
            ],
            "command": "uvx"
        }
    }
}

JSON

{
    "mcpServers": {
        "openai agents": {
            "env": {
                "OPENAI_API_KEY": "your-api-key-here"
            },
            "args": [
                "openai-agents-mcp-server"
            ],
            "command": "uvx"
        }
    }
}

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 agents": {
            "env": {
                "OPENAI_API_KEY": "your-api-key-here"
            },
            "args": [
                "openai-agents-mcp-server"
            ],
            "command": "uvx"
        }
    }
}

JSON

{
    "mcpServers": {
        "openai agents": {
            "env": {
                "OPENAI_API_KEY": "your-api-key-here"
            },
            "args": [
                "openai-agents-mcp-server"
            ],
            "command": "uvx"
        }
    }
}

JSON

{
    "mcpServers": {
        "openai agents": {
            "env": {
                "OPENAI_API_KEY": "your-api-key-here"
            },
            "args": [
                "openai-agents-mcp-server"
            ],
            "command": "uvx"
        }
    }
}

From the repository

You can configure the server using environment variables:

- OPENAI_API_KEY: Your OpenAI API key (required)
- MCP_TRANSPORT: Transport protocol to use (default: "stdio", can be "sse")

To install openai-agents-mcp-server for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install @lroolle/openai-agents-mcp-server --client claude

uv venv source .venv/bin/activate # On Windows: .venv\Scripts\activate

uv sync --dev

Claude Desktop / Cursor

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

{
    "mcpServers": {
        "openai agents": {
            "env": {
                "OPENAI_API_KEY": "your-api-key-here"
            },
            "args": [
                "openai-agents-mcp-server"
            ],
            "command": "uvx"
        }
    }
}

Linux

{
    "env": {
        "OPENAI_API_KEY": "your-api-key-here"
    },
    "args": [
        "openai-agents-mcp-server"
    ],
    "command": "uvx"
}

Macos

{
    "env": {
        "OPENAI_API_KEY": "your-api-key-here"
    },
    "args": [
        "openai-agents-mcp-server"
    ],
    "command": "uvx"
}

Windows

{
    "env": {
        "OPENAI_API_KEY": "your-api-key-here"
    },
    "args": [
        "openai-agents-mcp-server"
    ],
    "command": "uvx"
}

OpenAI Agents MCP Server

A Model Context Protocol (MCP) server that exposes OpenAI agents through the MCP protocol.

Features

This server exposes both individual agents and a multi-agent orchestrator using the OpenAI Agents SDK:

Individual Specialized Agents

- Web Search Agent: A specialized agent for searching the web for real-time information
- File Search Agent: A specialized agent for searching and analyzing files in OpenAI's vector store
- Computer Action Agent: A specialized agent for performing actions on your computer safely

Multi-Agent Orchestrator

- Orchestrator Agent: A powerful agent that can coordinate between the specialized agents, choosing the right one(s) for each task

Each agent is accessed through the MCP protocol, making them available to any MCP client, including the Claude desktop app.

Installation

Prerequisites

- Python 3.11 or higher
- uv package manager (recommended)
- OpenAI API key

Installing via Smithery

To install openai-agents-mcp-server for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install @lroolle/openai-agents-mcp-server --client claude

Claude Desktop

"mcpServers": {
  "openai-agents-mcp-server": {
    "command": "uvx",
    "args": ["openai-agents-mcp-server"],
    "env": {
        "OPENAI_API_KEY": "your-api-key-here"
    }
  }
}

Implementation Details

Tool Requirements

- WebSearchTool: No required parameters, but can accept optional location context
- FileSearchTool: Requires vector_store_ids (IDs from your OpenAI vector stores)
- ComputerTool: Requires an AsyncComputer implementation (currently simulated)

Customization

You can customize this server by:

1. Implementing a full AsyncComputer interface to enable real computer interactions
2. Adding additional specialized agents for other OpenAI tools
3. Enhancing the orchestrator agent to handle more complex workflows

Configuration

You can configure the server using environment variables:

- OPENAI_API_KEY: Your OpenAI API key (required)
- MCP_TRANSPORT: Transport protocol to use (default: "stdio", can be "sse")

Development

Setup development environment

```bash

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About

Details

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Setting up with Highlight

From the repository

Claude Desktop / Cursor

Linux

Macos

Windows

OpenAI Agents MCP Server

Features

Individual Specialized Agents

Multi-Agent Orchestrator

Installation

Prerequisites

Installing via Smithery

Claude Desktop

Implementation Details

Tool Requirements

Customization

Configuration

Development

Setup development environment

Install

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