graph TD
    subgraph "Developer's Dilemma"
        style Developer fill:#ff9e64,stroke:#fff,stroke-width:2px
        Developer((Developer))
    end

    subgraph "OpenAI's Ecosystem"
        style OpenAITools fill:#bb9af7,stroke:#fff,stroke-width:2px
        style Tracing fill:#bb9af7,stroke:#fff,stroke-width:2px
        style Evaluation fill:#bb9af7,stroke:#fff,stroke-width:2px
        style VendorLock fill:#f7768e,stroke:#fff,stroke-width:2px,stroke-dasharray: 5 5

        OpenAITools["Built-in Tools<br/>(Web Search, Code Interpreter)"]
        Tracing["Advanced Tracing<br/>(Visual Debugging)"]
        Evaluation["Evaluation Dashboards<br/>(Performance Metrics)"]
        VendorLock["Vendor Lock-in<br/>⚠️ Closed Source ⚠️"]

        OpenAITools --> Tracing
        Tracing --> Evaluation
        OpenAITools -.-> VendorLock
        Tracing -.-> VendorLock
        Evaluation -.-> VendorLock
    end

    subgraph "MCP Ecosystem"
        style MCPStandard fill:#7dcfff,stroke:#fff,stroke-width:2px
        style MCPTools fill:#7dcfff,stroke:#fff,stroke-width:2px
        style OpenStandard fill:#9ece6a,stroke:#fff,stroke-width:2px
        style LimitedTools fill:#f7768e,stroke:#fff,stroke-width:2px,stroke-dasharray: 5 5

        MCPStandard["Model Context Protocol<br/>(Open Standard)"]
        MCPTools["MCP-compatible Tools"]
        OpenStandard["Open Ecosystem<br/>✅ Interoperability ✅"]
        LimitedTools["Limited Tool Quality<br/>⚠️ Less Mature (e.g., web search, computer use) ⚠️"]

        MCPStandard --> MCPTools
        MCPStandard --> OpenStandard
        MCPTools -.-> LimitedTools
    end

    Developer -->|"Wants powerful tools<br/>& visualizations"| OpenAITools
    Developer -->|"Wants open standards<br/>& interoperability"| MCPStandard

    classDef highlight fill:#ff9e64,stroke:#fff,stroke-width:4px;
    class Developer highlight

# Install from PyPI
pip install openai-tool2mcp

# Or install the latest development version
pip install git+https://github.com/alohays/openai-tool2mcp.git

# Recommended: Install uv for better MCP compatibility
pip install uv

export OPENAI_API_KEY="your-api-key-here"

# Recommended: Use uv for MCP compatibility (recommended by MCP documentation)
uv run openai_tool2mcp/server_entry.py --transport stdio

# Or use the traditional method with the CLI
openai-tool2mcp start --transport stdio

{
  "mcpServers": {
    "openai-tools": {
      "command": "uv",
      "args": [
        "--directory",
        "/absolute/path/to/your/openai-tool2mcp",
        "run",
        "openai_tool2mcp/server_entry.py"
      ]
    }
  }
}

# server_script.py
from openai_tool2mcp import MCPServer, ServerConfig, OpenAIBuiltInTools

# Configure with OpenAI web search
config = ServerConfig(
    openai_api_key="your-api-key",
    tools=[OpenAIBuiltInTools.WEB_SEARCH.value]
)

# Create and start server with STDIO transport (for MCP compatibility)
server = MCPServer(config)
server.start(transport="stdio")

uv run server_script.py

# openai_tools_server.py
import os
from dotenv import load_dotenv
from openai_tool2mcp import MCPServer, ServerConfig, OpenAIBuiltInTools

# Load environment variables
load_dotenv()

# Create a server with multiple tools
config = ServerConfig(
    openai_api_key=os.environ.get("OPENAI_API_KEY"),
    tools=[
        OpenAIBuiltInTools.WEB_SEARCH.value,
        OpenAIBuiltInTools.CODE_INTERPRETER.value
    ]
)

# Create and start the server with stdio transport for MCP compatibility
server = MCPServer(config)
server.start(transport="stdio")

{
  "mcpServers": {
    "openai-tools": {
      "command": "uv",
      "args": [
        "--directory",
        "/absolute/path/to/your/project/folder",
        "run",
        "openai_tools_server.py"
      ]
    }
  }
}

sequenceDiagram
    participant Claude as "Claude App"
    participant MCP as "MCP Client"
    participant Server as "openai-tool2mcp Server"
    participant OpenAI as "OpenAI API"

    Claude->>MCP: User query requiring tools
    MCP->>Server: MCP request
    Server->>OpenAI: Convert to OpenAI format
    OpenAI->>Server: Tool response
    Server->>MCP: Convert to MCP format
    MCP->>Claude: Display result

{
  "mcpServers": {
    "openai-tools": {
      "command": "openai-tool2mcp",
      "args": [
        "start",
        "--transport",
        "stdio",
        "--tools",
        "retrieval",
        "code_interpreter"
      ]
    }
  }
}

# Clone the repository
git clone https://github.com/alohays/openai-tool2mcp.git
cd openai-tool2mcp

# Install in development mode
make install

# Run tests
make test

# Run linting
make lint