{
  "id": "tool-server:mcp-weaviate",
  "_kind": "ToolServer",
  "_file": "extensions/tool-servers/mcp-databases.yaml",
  "_cluster": "extensions",
  "attributes": {
    "displayName": "Weaviate MCP Server",
    "description": "MCP server providing access to Weaviate vector search engine.\nEnables AI agents to manage collections, perform vector and hybrid\nsearches, and use Weaviate as persistent memory for RAG pipelines.\n",
    "protocol": "mcp",
    "category": "database",
    "repoUrl": "https://github.com/weaviate/mcp-server-weaviate",
    "maintainer": "Weaviate",
    "mcpTransports": [
      "mcp-transport:stdio"
    ]
  },
  "outgoingEdges": [
    {
      "from": "tool-server:mcp-weaviate",
      "to": "stack-part:vector-database",
      "kind": "integrates_with",
      "attributes": {}
    },
    {
      "from": "tool-server:mcp-weaviate",
      "to": "domain:data-science",
      "kind": "lib_applies_to_domain",
      "attributes": {}
    },
    {
      "from": "tool-server:mcp-weaviate",
      "to": "domain:machine-learning",
      "kind": "lib_applies_to_domain",
      "attributes": {}
    },
    {
      "from": "tool-server:mcp-weaviate",
      "to": "tool:weaviate",
      "kind": "integrates_with",
      "attributes": {}
    },
    {
      "from": "tool-server:mcp-weaviate",
      "to": "domain:software-engineering",
      "kind": "lib_applies_to_domain",
      "attributes": {}
    },
    {
      "from": "tool-server:mcp-weaviate",
      "to": "domain:data-science",
      "kind": "lib_applies_to_domain",
      "attributes": {}
    }
  ],
  "incomingEdges": []
}