Announcing MCPHero Python Package - map MCP tools to OpenAI tools

mcphero: Use MCP servers with native OpenAI clients

I released a small Python package that maps MCP servers to native OpenAI clients.

Pypi: https://pypi.org/project/mcphero/
Github: https://github.com/stepacool/mcphero

The problem

MCP servers are cool, but:

• Native openai / gemini clients don’t support MCP
• Because of that, many projects don’t use MCP at all
• OR projects have to write a lot of custom mapping code

What mcphero does

• Converts MCP tools into OpenAI-compatible tools/functions
• Sends LLM tool-call results back to the MCP server for execution
• Returns updated message history
• Two-way mapping in ~2 lines of code

Minimal example

adapter = MCPToolAdapterOpenAI("https://api.mcphero.app/mcp/your-server-id/mcp")
client = OpenAI()

tools = await adapter.get_tool_definitions()

response = client.chat.completions.create(
    model="gpt-5",
    messages=[{"role": "user", "content": "What's the weather in London?"}],
    tools=tools,
)
tool_calls = response.choices[0].message
result = await adapter.process_tool_calls(tool_calls)

Without get_tool_definitions(), MCP tools can’t be wired into the OpenAI tools argument.
Without process_tool_calls(), openai tool_calls can't be wired into the MCP server.

Feedback is welcome.
If you are looking for a lovable/vercel for MCP servers - try mcphero.app - managed AI-generated MCP servers built for devs.