diff --git a/panda/python/examples/cb_qmp.py b/panda/python/examples/cb_qmp.py
new file mode 100644
index 00000000000..00ea50b7f57
--- /dev/null
+++ b/panda/python/examples/cb_qmp.py
@@ -0,0 +1,45 @@
+from pandare import Panda
+from time import sleep
+import json
+import tempfile
+
+path = tempfile.mktemp(".sock")
+panda = Panda(generic="x86_64", extra_args=["-qmp", f"unix:{path},server,nowait"])
+
+print()
+print("QMP example running! To send a QMP command to this VM, run:")
+print("""echo '{ "execute": "mycmd", "arguments": { "arg_key" : "arg_val" } }' | socat - UNIX-CONNECT:""" + path + """  | cat""")
+print()
+
+@panda.cb_qmp
+def on_qmp_command(cmd, arg_json, result_json):
+    args = {}
+    cmd = panda.ffi.string(cmd).decode() if cmd != panda.ffi.NULL else None
+    if cmd != 'mycmd':
+        return False
+    if arg_json != panda.ffi.NULL:
+        args = json.loads(panda.ffi.string(arg_json).decode())
+
+    print(f"PyPANDA handling QMP command {cmd} with args {args}")
+
+    data = {
+        "hello": "world",
+        "key": "value",
+        "0": 1,
+    }
+
+    # Dump our result to json and copy it into the result_json buffer
+    encoded_data = json.dumps(data).encode()
+    result_buffer = panda.ffi.new("char[]", len(encoded_data) + 1) # Null term
+    panda.ffi.memmove(result_buffer, encoded_data, len(encoded_data))
+    result_json[0] = result_buffer
+    return True
+
+@panda.queue_blocking
+def driver():
+    panda.revert_sync("root")
+    panda.run_serial_cmd("whoami")
+    sleep(300)
+    panda.end_analysis()
+
+panda.run()