What are you connecting?

Nothing to connect

This ships with Mindfront. Just ask it.

That system

Already built in. Open Settings → Integrations and sign in.

That system

Then Settings → Modules → Add MCP Server. The tools appear on their own.
It won't connect
If the vendor allow-lists callers, Mindfront's outbound address has to be on that list. If it wants a login rather than a key, use the sign-in option — a pasted key comes back as CREDENTIALS_REJECTED.
Nobody ships a connector for that
So you run a small web service and Mindfront calls it. Two endpoints, about forty lines, any language. An afternoon.
I already have a service running
1 of 5
Save this as bridge.py
It returns made-up data on purpose. Get Mindfront talking to it first; the real query is a one-line change.
#!/usr/bin/env python3
import json
from http.server import HTTPServer, BaseHTTPRequestHandler

META = {
    "protocolVersion": 4,
    "moduleVersion": "1.0.0",
    "moduleName": "OrdersBridge",
    "description": "Answers questions about orders.",
    "actions": [{
        "name": "getOrderStatus",
        "description": "Gets the status of an order by its number.",
        "route": "/action/getOrderStatus",
        "riskLevel": "safe",
        "input": {
            "type": "object",
            "properties": {"orderNumber": {"type": "string"}},
            "required": ["orderNumber"]
        }
    }]
}

def get_order_status(n):          # <- replace with your query
    return {"orderNumber": n, "status": "In production"}

class Bridge(BaseHTTPRequestHandler):
    def reply(self, payload):
        self.send_response(200)
        self.send_header("Content-type", "application/json")
        self.end_headers()
        self.wfile.write(json.dumps(payload).encode())

    def do_GET(self):
        self.reply(META) if self.path == "/meta" else self.send_error(404)

    def do_POST(self):
        n = int(self.headers.get("Content-Length", 0))
        body = json.loads(self.rfile.read(n) or b"{}")
        if self.path == "/action/getOrderStatus":
            try:
                self.reply({"status": "success",
                            "data": get_order_status(body.get("orderNumber"))})
            except Exception as e:
                self.reply({"status": "failure", "error": {"message": str(e)}})
        else:
            self.send_error(404)

HTTPServer(("", 8080), Bridge).serve_forever()
My data's in a database — write it for me
Paste this into Claude or ChatGPT with your schema. Table names alone are enough.
Read this first: https://mindfront.engineering/docs/llms-full.txt

Write me a complete, runnable Mindfront Fiber bridge in one file.
protocolVersion 4. Three actions, all riskLevel "safe" (they only
read). Every action needs name, description, route, riskLevel and
input. Always return HTTP 200 — put logical errors in the body as
{"status": "failure", "error": {"message": "..."}}.

Then give me the one command to run it.

IT MUST ANSWER:
1.
2.
3.

MY SCHEMA (table names alone are fine):
2 of 5
Start it
Leave the terminal open. Closing it stops the service.
python3 bridge.py
It won't start
Address already in use — something else holds port 8080. Change it to 8081 on the last line and note the new number; step 5 asks for it.
3 of 5
Open it in a browser
JSON with getOrderStatus in it means the service is answering.
http://localhost:8080/meta
I get an error page
Go back to the terminal and read the last line. Python prints the reason there in plain English — almost always a typo, or the window was closed.
4 of 5
Paste that JSON here
Mindfront drops actions missing a name, route or risk level — silently, with no error. This catches it first.
Checking…




5 of 5
Point Mindfront at it
Settings → Modules → Add Fiber Module. Base URL is where the service runs as seen from the Mindfront server — localhost on your laptop is not localhost there.
It says Degraded
Open that base URL in a browser on the Mindfront server. If it doesn't load there it's a network route, not your code. If it does, /meta is slower than five seconds — it must return a fixed object and never touch the database.
Connected
Mindfront can reach it
Anyone in the org can ask about it now. Every call is logged against whoever prompted it.