feat(mcp): Align client to JSON-RPC and update Emma model

- Refactor opax_mcp_client to use the JSON-RPC 2.0 MCP protocol.

- Set the client fallback endpoint to: https://opax-mcp-357036551735.us-central1.run.app

- Set run_emma’s fallback model to qwen2.5:7b.

- Update run_emma’s MCP tool description to qwen2.5:7b.

agents/tools/opax_mcp_client.py

@@ -14,7 +14,7 @@ import httpx
 import google.auth
 import google.auth.transport.requests
 
-OPAX_MCP_URL = os.environ.get("MCP_SERVER_URL", "https://opax-mcp-zjbqp3prqq-uc.a.run.app")
+OPAX_MCP_URL = os.environ.get("MCP_SERVER_URL", "https://opax-mcp-357036551735.us-central1.run.app")
 MCP_SECRET = os.environ.get("MCP_SECRET", "")
 
 
@@ -44,22 +44,71 @@ def _headers() -> dict:
 
 
 def call_tool(tool: str, params: dict = None) -> dict:
-    """Kall eit opax-mcp tool. Returnerer {tool, result}."""
-    resp = httpx.post(
-        f"{OPAX_MCP_URL}/tools/call",
-        headers=_headers(),
-        json={"tool": tool, "params": params or {}},
-        timeout=30,
-    )
+    """Kall eit tool på OPAX JSON-RPC MCP endepunktet."""
+    endpoint = OPAX_MCP_URL.rstrip("/") + "/"
+    payload = {
+        "jsonrpc": "2.0",
+        "id": "opax-client-tools-call",
+        "method": "tools/call",
+        "params": {
+            "name": tool,
+            "arguments": params or {},
+        },
+    }
+    resp = httpx.post(endpoint, headers=_headers(), json=payload, timeout=30)
     resp.raise_for_status()
-    return resp.json()
+    json_resp = resp.json()
+
+    if not isinstance(json_resp, dict):
+        raise RuntimeError("JSON-RPC response must be an object.")
+
+    error = json_resp.get("error")
+    if error:
+        if isinstance(error, dict):
+            raise RuntimeError(
+                f"JSON-RPC error {error.get('code')}: {error.get('message')}"
+            )
+        raise RuntimeError("JSON-RPC response contains an invalid error object.")
+
+    if "result" not in json_resp:
+        raise RuntimeError("JSON-RPC response missing 'result' field.")
+
+    return json_resp["result"]
 
 
 def list_tools() -> list:
-    """List alle tilgjengelige tools i opax-mcp."""
-    resp = httpx.get(f"{OPAX_MCP_URL}/tools", headers=_headers(), timeout=10)
+    """List alle tilgjengelige tools frå OPAX JSON-RPC MCP endepunktet."""
+    endpoint = OPAX_MCP_URL.rstrip("/") + "/"
+    payload = {
+        "jsonrpc": "2.0",
+        "id": "opax-client-tools-list",
+        "method": "tools/list",
+        "params": {},
+    }
+    resp = httpx.post(endpoint, headers=_headers(), json=payload, timeout=10)
     resp.raise_for_status()
-    return resp.json().get("tools", [])
+    json_resp = resp.json()
+
+    if not isinstance(json_resp, dict):
+        raise RuntimeError("JSON-RPC response must be an object.")
+
+    error = json_resp.get("error")
+    if error:
+        if isinstance(error, dict):
+            raise RuntimeError(
+                f"JSON-RPC error {error.get('code')}: {error.get('message')}"
+            )
+        raise RuntimeError("JSON-RPC response contains an invalid error object.")
+
+    result = json_resp.get("result")
+    if not isinstance(result, dict):
+        raise RuntimeError("JSON-RPC response missing object 'result' field.")
+
+    tools = result.get("tools")
+    if not isinstance(tools, list):
+        raise RuntimeError("JSON-RPC response missing 'result.tools' list.")
+
+    return tools
 
 
 # ---------------------------------------------------------------------------

opax-mcp/server.py

@@ -91,7 +91,7 @@ WORKSPACE_ADMIN_USER = "chris.christiansen@vauco.no"
 
 # Emma-vm Ollama — direkte tilkobling
 OLLAMA_BASE_URL      = os.environ.get("OLLAMA_BASE_URL", "http://34.13.238.133:11434")
-EMMA_MODEL           = os.environ.get("EMMA_MODEL", "gemma3:27b")
+EMMA_MODEL           = os.environ.get("EMMA_MODEL", "qwen2.5:7b")
 EMMA_FAST_MODEL      = os.environ.get("EMMA_FAST_MODEL", "gemma3:4b")
 EMMA_LIGHT_MODEL     = os.environ.get("EMMA_LIGHT_MODEL", "qwen2.5:3b")
 
@@ -775,7 +775,7 @@ TOOLS = {
     ),
     # AI Agents
     "run_jason":                   (run_jason,                   "Kjør Jason-agenten med en prompt", {"type":"object","properties":{"prompt":{"type":"string"},"mode":{"type":"string"}},"required":["prompt"]}),
-    "run_emma":                    (run_emma,                    "Emma Vauger (gemma3:27b) — primær lokal AI", {"type":"object","properties":{"prompt":{"type":"string"}}}),
+    "run_emma":                    (run_emma,                    "Emma Vauger (qwen2.5:7b) — primær lokal AI", {"type":"object","properties":{"prompt":{"type":"string"}}}),
 
     # Local models — read-only discovery
     "list_emma_models": (