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Add Grafana plugins (grafana-mcp, grafana-assistant, grafana-cloud-mcp) (#3416)

Bryan Thompson hace 2 meses
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e8a08808eb
Se han modificado 1 ficheros con 48 adiciones y 0 borrados
  1. 48 0
      .claude-plugin/marketplace.json

+ 48 - 0
.claude-plugin/marketplace.json

@@ -1419,6 +1419,54 @@
         }
       }
     },
+    {
+      "name": "grafana-assistant",
+      "description": "Skills and rules for developing and using the Grafana Assistant app and CLI.",
+      "author": {
+        "name": "Grafana"
+      },
+      "category": "monitoring",
+      "source": {
+        "source": "git-subdir",
+        "url": "https://github.com/grafana/ai-marketplace.git",
+        "path": "plugins/grafana-assistant",
+        "ref": "main",
+        "sha": "a5c72f2d74c640e9675eb0249526447968535015"
+      },
+      "homepage": "https://grafana.com"
+    },
+    {
+      "name": "grafana-cloud-mcp",
+      "description": "Hosted MCP server for AI-assisted Grafana Cloud observability — no local installation required.",
+      "author": {
+        "name": "Grafana"
+      },
+      "category": "monitoring",
+      "source": {
+        "source": "git-subdir",
+        "url": "https://github.com/grafana/ai-marketplace.git",
+        "path": "plugins/grafana-cloud-mcp",
+        "ref": "main",
+        "sha": "a5c72f2d74c640e9675eb0249526447968535015"
+      },
+      "homepage": "https://grafana.com"
+    },
+    {
+      "name": "grafana-mcp",
+      "description": "MCP server for AI-assisted Grafana dashboard, datasource, alerting, and incident management.",
+      "author": {
+        "name": "Grafana"
+      },
+      "category": "monitoring",
+      "source": {
+        "source": "git-subdir",
+        "url": "https://github.com/grafana/ai-marketplace.git",
+        "path": "plugins/grafana-mcp",
+        "ref": "main",
+        "sha": "a5c72f2d74c640e9675eb0249526447968535015"
+      },
+      "homepage": "https://grafana.com"
+    },
     {
       "name": "greptile",
       "description": "AI-powered codebase search and understanding. Query your repositories using natural language to find relevant code, understand dependencies, and get contextual answers about your codebase architecture.",