OpenAI Agents MCP Server

# OpenAI Agents MCP Server [](https://smithery.ai/server/@lroolle/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](https://github.com/astral-sh/uv) package manager (recommended) - OpenAI API key ### Installing via Smithery To install openai-agents-mcp-server for Claude Desktop automatically via [Smithery](https://smithery.ai/server/@lroolle/openai-agents-mcp-server): ```bash 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 # Clone the repository git clone https://github.com/lroolle/openai-agents-mcp-server.git cd openai-agents-mcp-server # Create a virtual environment uv venv source .venv/bin/activate # On Windows: .venv\Scripts\activate # Install dependencies uv sync --dev ``` ### Testing with MCP Inspector You can test the server using the MCP Inspector: ```bash # In one terminal, run the server with SSE transport export OPENAI_API_KEY=your-api-key export MCP_TRANSPORT=sse uv run mcp dev src/agents_mcp_server/server.py ``` Then open a web browser and navigate to http://localhost:5173. ## License MIT