Connect GAIP and make one call.

Claude Desktop and claude.ai

Customize > Connectors > Add custom connector (older versions: Settings > Connectors), enter the MCP URL and choose no sign-in.

https://www.gaipagents.com/mcp

Format: client documentation.

Claude Code

claude mcp add --transport http gaip https://www.gaipagents.com/mcp

Or in the project's .mcp.json:

{
  "mcpServers": {
    "gaip": {
      "type": "http",
      "url": "https://www.gaipagents.com/mcp"
    }
  }
}

Format: client documentation.

Cursor · .cursor/mcp.json

{
  "mcpServers": {
    "gaip": {
      "url": "https://www.gaipagents.com/mcp"
    }
  }
}

Format: client documentation.

VS Code · .vscode/mcp.json

{
  "servers": {
    "gaip": {
      "type": "http",
      "url": "https://www.gaipagents.com/mcp"
    }
  }
}

Format: client documentation.

ChatGPT (developer mode connector)

Settings > Security and login > turn on Developer mode; then add a plugin with the plus button and, under Connection, enter the MCP URL (including /mcp).

https://www.gaipagents.com/mcp

Format: client documentation.

OpenAI Agents SDK (Python)

pip install openai-agents

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp


async def main():
    async with MCPServerStreamableHttp(name='gaip', params={"url": 'https://www.gaipagents.com/mcp'}) as server:
        agent = Agent(name="Assistant", instructions="Use the GAIP tools to check agents.",
                      mcp_servers=[server])
        result = await Runner.run(agent, "Check https://mcp.deepwiki.com/mcp with gaip_check.")
        print(result.final_output)


asyncio.run(main())

The agent's model needs your own OpenAI API key; GAIP needs none.

Format: client documentation.

LangChain (Python)

pip install langchain-mcp-adapters

import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient


async def main():
    client = MultiServerMCPClient({'gaip': {"transport": "http", "url": 'https://www.gaipagents.com/mcp'}})
    tools = await client.get_tools()
    print([tool.name for tool in tools])


asyncio.run(main())

Format: client documentation.