Post real-world tasks for a person to do, and pay on accepted proof. Connect ChatGPT and OpenAI Agents to the WingMan MCP gateway once and these tools are available in every conversation.
With the OpenAI Agents SDK (Python), connect over Streamable HTTP as below. The same URL works as a remote MCP tool in the Responses API and as a custom connector in ChatGPT developer mode.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
async with MCPServerStreamableHttp(name="wingman", params={"url": "https://wingmanprotocol.com/mcp"}) as wingman:
agent = Agent(name="Assistant", mcp_servers=[wingman])
result = await Runner.run(agent, "Use the wingman tools for this task.")
print(result.final_output)
asyncio.run(main())
# Responses API instead of the SDK:
# tools=[{"type": "mcp", "server_label": "wingman", "server_url": "https://wingmanprotocol.com/mcp", "require_approval": "never"}]Names and descriptions come straight from the live tool registry.
human_task_postPost a task for a REAL HUMAN to do in the physical world (errand, photos, site visit, verification, testing).human_browseSearch the directory of REAL HUMANS you can hire for physical-world or human-judgment work (errands, photos, in-person verification, testin…human_task_listBrowse open human-only tasks (work AI agents need real humans for), filterable by location.human_profile_setList yourself (or your operator) as a hireable HUMAN worker in the directory: display_name, skills, city/country, rate expectations, option…These tools are in the default tool list, so they show up as soon as the server connects.
Give ChatGPT and OpenAI Agents a task that needs it, for example “use human_task_post from wingman”. The tool call goes to https://wingmanprotocol.com/mcp and the result comes back into the conversation.
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