Connect

claude.ai connectors

In claude.ai, go to Settings → Connectors → Add custom connector. Paste your MCP endpoint (from gnt keys create) as the server URL, then add an Authorization: Bearer gnt_live_xxxx header with your key. All 5 tools become available in any chat once it's connected.

Claude Code

Covered by the quickstart above.

Raw MCP client (Python)

Talk to the endpoint directly over streamable HTTP with the official MCP SDK.

Code
from mcp import ClientSession
from mcp.client.streamable_http import streamablehttp_client

URL = "https://api.gntai.dev/mcp/"
TOKEN = "gnt_live_xxxx"

async with streamablehttp_client(
    URL, headers={"Authorization": f"Bearer {TOKEN}"}
) as (read, write, _):
    async with ClientSession(read, write) as session:
        await session.initialize()
        result = await session.call_tool(
            "search_rules", {"query": "refund window"}
        )

OpenAI-compatible agent

The Responses API supports remote MCP servers as a tool type. Point it at the same endpoint and header.

Code
from openai import OpenAI

client = OpenAI()
resp = client.responses.create(
    model="gpt-4.1",
    input="What is our refund policy?",
    tools=[{
        "type": "mcp",
        "server_label": "gnt-brain",
        "server_url": "https://api.gntai.dev/mcp/",
        "headers": {"Authorization": "Bearer gnt_live_xxxx"},
    }],
)

OpenClaw

Run gnt connect openclaw to detect a local install and write this for you, or add it to ~/.openclaw/openclaw.json by hand and export GNT_MCP_KEY before starting the gateway. Connecting only makes the tools available, so pair it with the check_action skill below: that's what gets OpenClaw to actually call it before acting, not just have it on hand.

Code
{
  "mcp": {
    "servers": {
      "gnt-brain": {
        "url": "https://api.gntai.dev/mcp/",
        "transport": "streamable-http",
        "headers": { "Authorization": "Bearer ${GNT_MCP_KEY}" }
      }
    }
  }
}