{"$schema":"https://wellknown.network/schemas/agent-record-v1.json","schemaVersion":"1","id":"ag_9z8p9ga4yjpz","handle":"mcp-agensgraph-data-modeling","url":"https://wellknown.network/agents/mcp-agensgraph-data-modeling","links":{"self":"https://wellknown.network/agents/mcp-agensgraph-data-modeling/record.json","html":"https://wellknown.network/agents/mcp-agensgraph-data-modeling","markdown":"https://wellknown.network/agents/mcp-agensgraph-data-modeling/record.md","api":"https://wellknown.network/api/v1/agents/mcp-agensgraph-data-modeling","status":"https://wellknown.network/api/v1/agents/mcp-agensgraph-data-modeling/status","claim":"https://wellknown.network/agents/mcp-agensgraph-data-modeling/claim","claimApi":"https://wellknown.network/api/v1/claims","claimDescriptor":"https://wellknown.network/agents/mcp-agensgraph-data-modeling/claim.json","badge":"https://wellknown.network/agents/mcp-agensgraph-data-modeling/badge.svg","openapi":"https://wellknown.network/openapi.json","history":"https://wellknown.network/api/v1/agents/mcp-agensgraph-data-modeling/history","tools":"https://wellknown.network/api/v1/agents/mcp-agensgraph-data-modeling/tools"},"ard":{"identifier":"urn:air::server:mcp-agensgraph-data-modeling","type":"application/mcp-server-card+json"},"kind":"mcp_server","declared":{"name":"mcp-agensgraph-data-modeling","summary":"AgensGraph data-modeling MCP server (validate models, generate ingest/constraint Cypher, Arrows/Mermaid).","description":"# 🔍📊 AgensGraph Data Modeling MCP Server\n\n## 🌟 Overview\n\nA Model Context Protocol (MCP) server implementation that provides tools for creating, visualizing, and managing AgensGraph graph data models. This server enables you to define nodes, relationships, and properties to design graph database schemas that can be visualized interactively.\n\n## 🧩 Features\n\n- **Data Model Creation**: Define nodes, relationships, and properties\n- **Validation Tools**: Ensure structural integrity of data models\n- **Visualization**: Generate Mermaid diagrams for model visualization\n- **Arrows.app Integration**: Import/export models from Arrows visual editor\n- **Cypher Generation**: Create ingest queries and constraint queries\n- **Example Models**: 7 pre-built real-world data models\n\n**No database connection.** Nothing here reads or writes a graph — the server takes a model as\nJSON, answers about it, and hands back Cypher for somebody else to run. That somebody is\nusually the cypher server's write tool, in the same conversation.\n\n## 🔧 Installation\n\n```bash\nuvx mcp-agensgraph-data-modeling\n\n# Or from source\ngit clone https://github.com/skaiworldwide-oss/agensgraph-ai.git\ncd agensgraph-ai/mcp-agensgraph/servers/mcp-agensgraph-data-modeling\nuv sync\n```\n\nAdd it to your `claude_desktop_config.json`:\n\n```json\n\"mcpServers\": {\n  \"agensgraph-data-modeling\": {\n    \"command\": \"uvx\",\n    \"args\": [ \"mcp-agensgraph-data-modeling\" ]\n  }\n}\n```\n\nCLI flags: `--transport` (`stdio`, `http`, `sse`; default `stdio`), `--server-host`,\n`--server-port`, `--server-path`, `--allow-origins`, `--allowed-hosts`, `--namespace`. Each has\nan environment variable — `AGENSGRAPH_TRANSPORT`, `AGENSGRAPH_MCP_SERVER_HOST` / `_PORT` /\n`_PATH`, `AGENSGRAPH_MCP_SERVER_ALLOW_ORIGINS` / `_ALLOWED_HOSTS`, `AGENSGRAPH_NAMESPACE`.\n`--namespace myapp` prefixes every tool name (`myapp-validate_node`), so several servers can\nbe reached from one client.\n\n## 📖 Usage\n\n### 🛠️ Tools\n\nA model is a plain JSON object: `{\"nodes\": [...], \"…","publisher":null,"homepage":"https://github.com/skaiworldwide-oss/agensgraph-ai/tree/main/mcp-agensgraph/servers/mcp-agensgraph-data-modeling","repository":"https://github.com/skaiworldwide-oss/agensgraph-ai/tree/main/mcp-agensgraph/servers/mcp-agensgraph-data-modeling","version":"0.3.1","license":null,"protocols":["mcp"],"tags":["agensgraph","data","modeling","graph","mcp","model","context","protocol"],"pricing":null,"endpoints":[{"url":"pypi:mcp-agensgraph-data-modeling","type":"package_pypi","auth":null,"probeable":false}],"skills":null,"tools":null,"extra":null,"attribution":{"kind":"pypi","name":"pypi","repoUrl":"pypi","summary":"pypi","version":"pypi","description":"pypi","homepageUrl":"pypi"}},"derived":{"capabilities":[{"slug":"knowledge.knowledge-graph","name":"Knowledge Graphs","confidence":1,"provenance":"declared"},{"slug":"dev.version-control","name":"Version Control","confidence":0.745,"provenance":"derived"}],"categories":["dev","knowledge"],"language":"en"},"observed":{"status":"unknown","statusReason":"Distributed as a package to run locally; no network endpoint to check.","lastOkAt":null,"lastProbedAt":null,"statusComputedAt":null,"reliability30d":null,"latestObservations":[],"tools":null,"package":{"name":"mcp-agensgraph-data-modeling","registry":"pypi","observedAt":"2026-10-28T09:23:14.203Z","publishedAt":"2026-09-23T20:14:31.311496Z","latestVersion":"0.3.1"},"toolSurface":null,"endpointFacts":[]},"verification":{"claimed":false,"claimedAt":null,"proofs":[]},"provenance":{"sources":[{"source":"pypi","key":"mcp-agensgraph-data-modeling","url":"https://pypi.org/project/mcp-agensgraph-data-modeling/","firstSeenAt":"2026-09-10T00:23:14.820Z","fetchedAt":"2026-10-28T09:22:23.759Z","normalizedAt":"2026-10-28T09:22:23.759Z"}]},"firstSeenAt":"2026-09-10T00:23:14.820Z","updatedAt":"2026-10-28T09:23:14.203Z"}