diff --git a/graphify/analyze.py b/graphify/analyze.py
index 844a7c0d2..df1c20661 100644
--- a/graphify/analyze.py
+++ b/graphify/analyze.py
@@ -106,16 +106,31 @@ def _is_json_key_node(G: nx.Graph, node_id: str) -> bool:
     return label in _JSON_NOISE_LABELS
 
 
-def god_nodes(G: nx.Graph, top_n: int = 10) -> list[dict]:
+def god_nodes(G: nx.Graph, top_n: int = 10,
+              exclude_hubs_percentile: float | None = None) -> list[dict]:
     """Return the top_n most-connected real entities - the core abstractions.
 
     File-level hub nodes are excluded: they accumulate import/contains edges
     mechanically and don't represent meaningful architectural abstractions.
+
+    ``exclude_hubs_percentile`` (0-100) suppresses nodes whose degree exceeds
+    that percentile of the graph's degree distribution, using the same
+    threshold computation ``cluster()`` applies (#3205) - so the one setting
+    suppresses utility hubs in the ranking AND in community resolution,
+    instead of only the latter. ``None`` keeps the historical ranking.
     """
     degree = dict(G.degree())
+    hub_threshold: float | None = None
+    if exclude_hubs_percentile is not None:
+        degrees = sorted(degree.values())
+        if degrees:
+            idx = max(0, int(len(degrees) * exclude_hubs_percentile / 100) - 1)
+            hub_threshold = degrees[idx]
     sorted_nodes = sorted(degree.items(), key=lambda x: x[1], reverse=True)
     result = []
     for node_id, deg in sorted_nodes:
+        if hub_threshold is not None and deg > hub_threshold:
+            continue
         if _is_file_node(G, node_id) or _is_concept_node(G, node_id) or _is_json_key_node(G, node_id):
             continue
         if G.nodes[node_id].get("label", "") in _BUILTIN_NOISE_LABELS:
diff --git a/graphify/cli.py b/graphify/cli.py
index 6642f57d5..bfcb3d928 100644
--- a/graphify/cli.py
+++ b/graphify/cli.py
@@ -1398,6 +1398,7 @@ def dispatch_command(cmd: str) -> None:
         from graphify.security import sanitize_label as _sanitize_label
         graph_path = _default_graph_path()
         top_n = 10
+        gn_exclude_hubs: float | None = None
         as_json = "--json" in sys.argv
         args = sys.argv[2:]
         i = 0
@@ -1422,6 +1423,20 @@ def dispatch_command(cmd: str) -> None:
                     print("error: --top must be an integer", file=sys.stderr)
                     sys.exit(1)
                 i += 1
+            elif args[i] == "--exclude-hubs" and i + 1 < len(args):
+                try:
+                    gn_exclude_hubs = float(args[i + 1])
+                except ValueError:
+                    print("error: --exclude-hubs must be a number (percentile 0-100)", file=sys.stderr)
+                    sys.exit(1)
+                i += 2
+            elif args[i].startswith("--exclude-hubs="):
+                try:
+                    gn_exclude_hubs = float(args[i].split("=", 1)[1])
+                except ValueError:
+                    print("error: --exclude-hubs must be a number (percentile 0-100)", file=sys.stderr)
+                    sys.exit(1)
+                i += 1
             else:
                 i += 1
         gp = Path(graph_path).resolve()
@@ -1436,7 +1451,7 @@ def dispatch_command(cmd: str) -> None:
         except Exception as exc:
             print(f"error: could not load graph: {exc}", file=sys.stderr)
             sys.exit(1)
-        gods = _god_nodes(G, top_n=top_n)
+        gods = _god_nodes(G, top_n=top_n, exclude_hubs_percentile=gn_exclude_hubs)
         if as_json:
             print(json.dumps(gods, indent=2))
         else:
@@ -2099,7 +2114,7 @@ def dispatch_command(cmd: str) -> None:
             communities = remap_communities_to_previous(communities, previous_node_community)
         stages.mark("cluster")
         cohesion = score_all(G, communities)
-        gods = god_nodes(G)
+        gods = god_nodes(G, exclude_hubs_percentile=co_exclude_hubs)
         surprises = surprising_connections(G, communities)
         stages.mark("analyze")
         # Where outputs (GRAPH_REPORT.md, re-clustered graph.json, labels,
@@ -4376,7 +4391,9 @@ def _invalidate_file_manifest_for_db_graph() -> None:
         stages.mark("cluster")
         cohesion = _score_all(G, communities)
         try:
-            gods = _god_nodes(G)
+            # The percentile that suppressed hubs in cluster() above suppresses
+            # them in the ranking too (#3205).
+            gods = _god_nodes(G, exclude_hubs_percentile=cli_exclude_hubs)
         except Exception:
             gods = []
         try:
diff --git a/graphify/serve.py b/graphify/serve.py
index a9ecd3540..4eb3072f9 100644
--- a/graphify/serve.py
+++ b/graphify/serve.py
@@ -1670,7 +1670,11 @@ async def list_tools() -> list[types.Tool]:
             types.Tool(
                 name="god_nodes",
                 description="Return the most connected nodes - the core abstractions of the knowledge graph.",
-                inputSchema={"type": "object", "properties": {"top_n": {"type": "integer", "default": 10}}},
+                inputSchema={"type": "object", "properties": {
+                    "top_n": {"type": "integer", "default": 10},
+                    "exclude_hubs_percentile": {"type": "number",
+                                                "description": "Suppress nodes whose degree exceeds this percentile (0-100) of the degree distribution, matching cluster()'s hub exclusion"},
+                }},
             ),
             types.Tool(
                 name="graph_stats",
@@ -1873,7 +1877,11 @@ def _tool_get_community(arguments: dict) -> str:
 
     def _tool_god_nodes(arguments: dict) -> str:
         from graphify.analyze import god_nodes as _god_nodes
-        nodes = _god_nodes(G, top_n=int(arguments.get("top_n", 10)))
+        _pct = arguments.get("exclude_hubs_percentile")
+        nodes = _god_nodes(
+            G, top_n=int(arguments.get("top_n", 10)),
+            exclude_hubs_percentile=float(_pct) if _pct is not None else None,
+        )
         lines = ["God nodes (most connected):"]
         lines += [f"  {i}. {n['label']} - {n['degree']} edges" for i, n in enumerate(nodes, 1)]
         return "\n".join(lines)
diff --git a/tests/test_god_nodes_exclude_hubs.py b/tests/test_god_nodes_exclude_hubs.py
new file mode 100644
index 000000000..b87c8c7d7
--- /dev/null
+++ b/tests/test_god_nodes_exclude_hubs.py
@@ -0,0 +1,113 @@
+"""god_nodes() honours exclude_hubs_percentile (#3205).
+
+The percentile only ever reached cluster()'s community-resolution step; the
+god-node ranking had no exclusion parameter at all, so running it at every
+percentile value returned identical output and utility hubs stayed at the
+top regardless of the setting. The same threshold computation cluster()
+uses now applies to the ranking, and the CLI/MCP surfaces expose it.
+"""
+from __future__ import annotations
+
+import inspect
+import json
+
+import networkx as nx
+import pytest
+
+from graphify.analyze import god_nodes
+
+
+def _graph():
+    """One mega-hub (degree 40), two mid symbols, a tail of leaves.
+
+    The hub label must not be in _BUILTIN_NOISE_LABELS - the ranking already
+    filters those - so the test isolates the percentile mechanism."""
+    G = nx.Graph()
+    G.add_node("hub", label="Registry", file_type="code", source_file="u.py", source_location="L1")
+    for i in range(40):
+        G.add_node(f"leaf{i}", label=f"leaf{i}", file_type="code",
+                   source_file=f"l{i}.py", source_location="L1")
+        G.add_edge("hub", f"leaf{i}", relation="calls")
+    for name, deg in (("core", 6), ("svc", 4)):
+        G.add_node(name, label=name, file_type="code", source_file=f"{name}.py",
+                   source_location="L1")
+        for i in range(deg):
+            G.add_edge(name, f"leaf{i}", relation="calls")
+    return G
+
+
+def test_without_the_parameter_the_hub_still_ranks_first():
+    assert god_nodes(_graph(), top_n=3)[0]["label"] == "Registry"
+
+
+def test_the_percentile_suppresses_the_hub():
+    gods = god_nodes(_graph(), top_n=10, exclude_hubs_percentile=90)
+    labels = [g["label"] for g in gods]
+    assert "Registry" not in labels, labels
+    assert gods, "suppressing the hub must not empty the ranking"
+    assert max(g["degree"] for g in gods) < 40
+
+
+def test_the_threshold_matches_clusters_computation():
+    """The ranking must exclude exactly what cluster()'s formula excludes:
+    degrees sorted ascending, idx = max(0, int(n * pct / 100) - 1),
+    everything with degree > degrees[idx] is a hub."""
+    G = _graph()
+    pct = 90
+    degrees = sorted(d for _, d in G.degree())
+    idx = max(0, int(len(degrees) * pct / 100) - 1)
+    threshold = degrees[idx]
+    expected_hubs = {n for n, d in G.degree() if d > threshold}
+    assert "hub" in expected_hubs
+    gods = {g["id"] for g in god_nodes(G, top_n=100, exclude_hubs_percentile=pct)}
+    assert gods.isdisjoint(expected_hubs)
+    assert gods, "non-hub symbols must survive"
+
+
+def test_percentile_100_excludes_nothing():
+    gods = god_nodes(_graph(), top_n=3, exclude_hubs_percentile=100)
+    assert gods[0]["label"] == "Registry"
+
+
+def test_the_analyzer_signature_stays_backward_compatible():
+    sig = inspect.signature(god_nodes)
+    assert sig.parameters["exclude_hubs_percentile"].default is None
+
+
+# ---------------------------------------------------------------------------
+# CLI surface
+# ---------------------------------------------------------------------------
+
+def test_the_cli_command_takes_the_flag(tmp_path, monkeypatch, capsys):
+    import graphify.__main__ as mainmod
+    from graphify.export import to_json
+    G = _graph()
+    gp = tmp_path / "graph.json"
+    to_json(G, {0: list(G.nodes)}, str(gp))
+    monkeypatch.setattr(mainmod, "_check_skill_version", lambda *_a, **_k: None)
+
+    def run(*extra):
+        monkeypatch.setattr(mainmod.sys, "argv",
+                            ["graphify", "god-nodes", "--graph", str(gp), "--json", *extra])
+        try:
+            mainmod.main()
+        except SystemExit as exc:
+            assert exc.code in (None, 0)
+        return json.loads(capsys.readouterr().out)
+
+    assert run()[0]["label"] == "Registry"
+    filtered = run("--exclude-hubs", "90")
+    assert filtered and all(g["label"] != "Registry" for g in filtered)
+    filtered2 = run("--exclude-hubs=90")
+    assert filtered2 and all(g["label"] != "Registry" for g in filtered2)
+
+
+def test_a_bad_flag_value_is_a_usage_error(tmp_path, monkeypatch, capsys):
+    import graphify.__main__ as mainmod
+    monkeypatch.setattr(mainmod, "_check_skill_version", lambda *_a, **_k: None)
+    monkeypatch.setattr(mainmod.sys, "argv",
+                        ["graphify", "god-nodes", "--exclude-hubs", "lots"])
+    with pytest.raises(SystemExit) as info:
+        mainmod.main()
+    assert info.value.code == 1
+    assert "--exclude-hubs" in capsys.readouterr().err