diff --git a/cookbook/repairing_broken_networks.ipynb b/cookbook/repairing_broken_networks.ipynb
index 60c374a..db29d61 100644
--- a/cookbook/repairing_broken_networks.ipynb
+++ b/cookbook/repairing_broken_networks.ipynb
@@ -41,7 +41,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Fetching /Users/hannahbaumann/.local/share/mamba/envs/openfe/lib/python3.13/site-packages/openfecli/tests/data/rbfe_results.tar.gz\n"
+      "Fetching /Users/hannahbaumann/.local/share/mamba/envs/openfe_env/lib/python3.12/site-packages/openfecli/tests/data/rbfe_results.tar.gz\n"
      ]
     }
    ],
@@ -64,10 +64,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 1,
    "id": "8d681408",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/hannahbaumann/.local/share/mamba/envs/openfe_env/lib/python3.12/site-packages/pydantic/_internal/_generate_schema.py:2274: UnsupportedFieldAttributeWarning: The 'validate_default' attribute with value True was provided to the `Field()` function, which has no effect in the context it was used. 'validate_default' is field-specific metadata, and can only be attached to a model field using `Annotated` metadata or by assignment. This may have happened because an `Annotated` type alias using the `type` statement was used, or if the `Field()` function was attached to a single member of a union type.\n",
+      "  warnings.warn(\n",
+      "/Users/hannahbaumann/.local/share/mamba/envs/openfe_env/lib/python3.12/site-packages/pydantic/_internal/_generate_schema.py:2274: UnsupportedFieldAttributeWarning: The 'validate_default' attribute with value True was provided to the `Field()` function, which has no effect in the context it was used. 'validate_default' is field-specific metadata, and can only be attached to a model field using `Annotated` metadata or by assignment. This may have happened because an `Annotated` type alias using the `type` statement was used, or if the `Field()` function was attached to a single member of a union type.\n",
+      "  warnings.warn(\n"
+     ]
+    }
+   ],
    "source": [
     "import json\n",
     "import pathlib\n",
@@ -85,7 +96,7 @@
     "from openfe.setup.ligand_network_planning import generate_network_from_names\n",
     "from gufe.tokenization import JSON_HANDLER\n",
     "\n",
-    "from konnektor.network_tools import merge_two_networks\n",
+    "from konnektor.network_tools import merge_two_networks, connected_subnetworks\n",
     "from konnektor.network_planners import MstConcatenator"
    ]
   },
@@ -101,7 +112,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 2,
    "id": "8a702d3c",
    "metadata": {},
    "outputs": [
@@ -141,7 +152,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 3,
    "id": "d0f1f442",
    "metadata": {},
    "outputs": [],
@@ -205,7 +216,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 4,
    "id": "be375fe0-99b4-49c9-830a-6bdcd77a6b75",
    "metadata": {},
    "outputs": [
@@ -221,7 +232,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/Users/hannahbaumann/.local/share/mamba/envs/openfe/lib/python3.13/site-packages/gufe/components/smallmoleculecomponent.py:286: UserWarning: The atom hybridization data was not found and has been set to unspecified. This can be fixed by recreating the SmallMoleculeComponent from the rdkit molecule after running sanitization.\n",
+      "/Users/hannahbaumann/.local/share/mamba/envs/openfe_env/lib/python3.12/site-packages/gufe/components/smallmoleculecomponent.py:304: UserWarning: The atom hybridization data was not found and has been set to unspecified. This can be fixed by recreating the SmallMoleculeComponent from the rdkit molecule after running sanitization.\n",
       "  warnings.warn(\n"
      ]
     },
@@ -294,23 +305,13 @@
     }
    ],
    "source": [
-    "def decompose_network(network):\n",
-    "    g = network.graph.to_undirected()\n",
-    "    pieces = []\n",
-    "    for comp in nx.connected_components(g):\n",
-    "        edges = [e for e in network.edges\n",
-    "                 if e.componentA in comp and e.componentB in comp]\n",
-    "        pieces.append(LigandNetwork(nodes=comp, edges=edges))\n",
-    "    return pieces\n",
-    "\n",
-    "\n",
     "def missing_ligands(planned, completed):\n",
     "    \"\"\"Ligands in the plan with no results at all.\"\"\"\n",
     "    have = {n.name for n in completed.nodes}\n",
     "    return [n for n in planned.nodes if n.name not in have]\n",
     "\n",
     "\n",
-    "fragments = decompose_network(completed)\n",
+    "fragments = connected_subnetworks(completed)\n",
     "missing = missing_ligands(planned, completed)\n",
     "print(\"missing ligands:\", [n.name for n in missing])\n",
     "\n",
@@ -328,7 +329,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 800x800 with 1 Axes>"
       ]
@@ -339,7 +340,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 800x800 with 1 Axes>"
       ]
@@ -362,7 +363,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 800x800 with 1 Axes>"
       ]
@@ -406,7 +407,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/Users/hannahbaumann/.local/share/mamba/envs/openfe/lib/python3.13/site-packages/konnektor/network_planners/generators/explicit_network_generator.py:85: UserWarning: Generated network is not connected as a single network.\n",
+      "/Users/hannahbaumann/.local/share/mamba/envs/openfe_env/lib/python3.12/site-packages/konnektor/network_planners/generators/explicit_network_generator.py:85: UserWarning: Generated network is not connected as a single network.\n",
       "  warnings.warn(\"Generated network is not connected as a single network.\")\n"
      ]
     }
@@ -456,53 +457,58 @@
    "source": [
     "## 7. Repair — by lomap score\n",
     "\n",
-    "You can also let the scorer choose the bridges: the concatenator proposes candidate edges\n",
-    "between fragments, scores them with lomap, and keeps the best. \n",
-    "`n_connecting_edges` determines how many edges to connect the fragments with."
+    "Let the scorer choose the bridges: the concatenator treats each fragment as a\n",
+    "node and joins them with a minimum spanning tree, keeping the single best-scoring\n",
+    "edge per join.\n",
+    "\n",
+    "The transformations that already failed are passed as `avoid_edges`, so the\n",
+    "concatenator never proposes them again."
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 10,
-   "id": "d06afced",
+   "id": "d1bf455e-d793-4bd5-a7bb-2da6fc2ac538",
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "connected: True\n",
-      "edges added: [('lig_ejm_31', 'lig_ejm_48'), ('lig_jmc_28', 'lig_ejm_47'), ('lig_ejm_47', 'lig_ejm_48'), ('lig_ejm_46', 'lig_ejm_48'), ('lig_ejm_46', 'lig_ejm_47'), ('lig_jmc_28', 'lig_ejm_48')]\n"
+      "edges added: [('lig_ejm_46', 'lig_ejm_47'), ('lig_ejm_46', 'lig_ejm_48')]\n",
+      "connected: True\n"
      ]
     }
    ],
    "source": [
-    "def repair_by_score(fragments, mapper, scorer, n_connecting_edges=1):\n",
+    "def repair_by_score(fragments, mapper, scorer, avoid_edges=()):\n",
     "    \"\"\"Reconnect broken fragments with bridging edges chosen by score.\n",
     "\n",
     "    Parameters\n",
     "    ----------\n",
     "    fragments : list[LigandNetwork]\n",
-    "        The connected pieces to join back together, including single-node\n",
+    "        The connected subnetworks to join back together, including single-node\n",
     "        networks for any missing ligands.\n",
     "    mapper : AtomMapper\n",
     "        Builds the atom mapping for each candidate edge.\n",
     "    scorer : Callable\n",
     "        Scores a mapping by expected difficulty (e.g. a lomap scorer).\n",
-    "    n_connecting_edges : int, optional\n",
-    "        Number of bridges to add per join, by default 1.\n",
+    "    avoid_edges : Iterable[LigandAtomMapping], optional\n",
+    "        Edges that should not be considered when attempting to fix a network. Empty by default.\n",
     "\n",
     "    Returns\n",
     "    -------\n",
     "    LigandNetwork\n",
-    "        A single connected network: the fragments' edges plus the chosen\n",
-    "        bridging edges.\n",
-    "    \"\"\"\n",
-    "    concatenator = MstConcatenator(\n",
-    "        mappers=mapper, scorer=scorer, n_connecting_edges=n_connecting_edges\n",
-    "    )\n",
-    "    return concatenator.concatenate_networks(ligand_networks=fragments)\n",
+    "        A single connected network: the fragments' edges plus the chosen bridges.\n",
     "\n",
+    "    Raises\n",
+    "    ------\n",
+    "    RuntimeError\n",
+    "        If the fragments cannot be joined into one connected network, e.g. all\n",
+    "        candidate bridges between some fragments were excluded via ``avoid_edges``.\n",
+    "    \"\"\"\n",
+    "    concatenator = MstConcatenator(mappers=mapper, scorer=scorer)\n",
+    "    return concatenator.concatenate_networks(fragments, avoid_edges=avoid_edges)\n",
     "\n",
     "def repair_edges(repaired, completed):\n",
     "    \"\"\"The newly added bridges, i.e. what still needs simulating.\"\"\"\n",
@@ -511,11 +517,36 @@
     "mapper = KartografAtomMapper()\n",
     "scorer = lomap_scorers.default_lomap_score\n",
     "\n",
-    "repaired_network_by_score = repair_by_score(fragments, mapper, scorer, n_connecting_edges=2)\n",
-    "print(\"connected:\", repaired_network_by_score.is_connected())\n",
+    "# The planned network records every attempted transformation. Exclude them all\n",
+    "# so the repair never re-proposes a failed edge. \n",
+    "avoid_edges = [e for e in planned.edges]\n",
     "\n",
-    "new_edges = repair_edges(repaired_network_by_score, completed)\n",
-    "print(\"edges added:\", [(e.componentA.name, e.componentB.name) for e in new_edges])"
+    "repaired_by_score = repair_by_score(fragments, mapper, scorer, avoid_edges=avoid_edges)\n",
+    "new_edges = repair_edges(repaired_by_score, completed)\n",
+    "print(\"edges added:\", [(e.componentA.name, e.componentB.name) for e in new_edges])\n",
+    "print(\"connected:\", repaired_by_score.is_connected())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "4abcaf8c-59e5-4a1b-a211-c7c0e5500950",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 800x800 with 1 Axes>"
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "plot_atommapping_network(repaired_by_score)"
    ]
   },
   {
@@ -537,7 +568,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 13,
    "id": "fbdc9724",
    "metadata": {},
    "outputs": [],
@@ -613,7 +644,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 14,
    "id": "42ac44ab",
    "metadata": {},
    "outputs": [
@@ -621,7 +652,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "wrote 12 transformations\n"
+      "wrote 4 transformations\n"
      ]
     }
    ],
@@ -653,7 +684,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.13.11"
+   "version": "3.12.9"
   }
  },
  "nbformat": 4,
diff --git a/environment.yaml b/environment.yaml
index 7bcdcab..f9a40a3 100644
--- a/environment.yaml
+++ b/environment.yaml
@@ -20,5 +20,5 @@ dependencies:
     - git+https://github.com/OpenFreeEnergy/openfe_analysis@v0.5.0 # Use conda-forge v0.5 after new openfe release updates pins on openfe-analysis
     - git+https://github.com/OpenFreeEnergy/cinnabar@0.6.0 # Use conda-forge v0.6.0 after new openfe release updates pins on cinnabar
     - git+https://github.com/OpenFreeEnergy/kartograf@v2.0.0  # Use conda-forge v2.0 after new openfe release updates pins on kartogra
-    - git+https://github.com/OpenFreeEnergy/konnektor@v0.4.0  # use conda-forge v0.4.0 after openfe conda-forge release
+    - git+https://github.com/OpenFreeEnergy/konnektor@avoid_edges_concatenator  # use conda-forge v0.4.0 after openfe conda-forge release
     - git+https://github.com/OpenFreeEnergy/Lomap@v3.3.0  # use conda-forge v3.3.0 after openfe conda-forge release