graphcare

Structural database health scanner. Audits schema topology for orphaned tables, missing indexes, nullable FKs, circular dependencies — without ever reading row data. Supports PostgreSQL, MySQL, SQLite.

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Install skill "graphcare" with this command: npx skills add nlr-ai/graphcare

GraphCare — Structural Database Health Scanner

The first structural antivirus for AI databases. Scans your schema topology for hidden problems — without ever touching your data.

Why

AI agents evolve schemas at speed. But nobody audits the structure. Over time:

  • Foreign keys lose their indexes (JOINs slow to a crawl)
  • Tables drift into isolation (orphaned, unreachable data)
  • Primary keys go missing (replication breaks, ORMs fail)
  • Nullable FKs create silent referential gaps
  • Circular dependencies make inserts impossible
  • Redundant indexes waste disk and slow writes

GraphCare catches all of this in one scan.

Zero-Trust by Design

GraphCare only queries metadata (information_schema, PRAGMA, pg_indexes). It is structurally impossible for it to read, leak, or mutate your row data.

  • READ-ONLY: Zero writes, zero mutations
  • NO ROW DATA: Only schema metadata is accessed
  • STATELESS: Memory purged after every scan

Setup

GraphCare is an MCP server. Add it to your MCP client config:

{
  "mcpServers": {
    "graphcare": {
      "command": "node",
      "args": ["/path/to/graphcare/index.js"]
    }
  }
}

Or run via Docker:

docker build -t graphcare .
docker run -i graphcare

Or install from npm:

npm install -g graphcare-mcp
graphcare-mcp

Tools

audit_db_structure

Full structural scan. Pass a connection string, get a complete health report.

Parameters:

  • connection_string (required) — Database URI: postgresql://, mysql://, sqlite:///path/to/db, or just file.db

Returns: JSON report with:

  • db_type — Database engine detected
  • tables[] — All tables found
  • findings[] — Each structural issue with type, severity, table, and message
  • metrics{} — Counts per finding type + computed health_score (0-100)

Example:

Use graphcare to audit my database at postgresql://localhost:5432/myapp

The agent calls audit_db_structure with the connection string and receives a structured JSON report.

explain_finding

Plain-language explanation of any finding type. Includes severity, impact, and recommended fix.

Parameters:

  • finding_type (required) — One of: orphaned_table, missing_fk_index, duplicate_index, nullable_fk, no_primary_key, circular_dependency
  • context (optional) — Table or column name for specific advice

What GraphCare Detects

FindingSeverityImpact
Orphaned TablesWarningStructurally isolated dead weight
Missing FK IndexesCritical#1 cause of slow JOINs and DELETEs
No Primary KeyCriticalBreaks replication and ORMs
Nullable Foreign KeysWarningHidden referential integrity gaps
Circular DependenciesWarningMakes clean inserts impossible
Duplicate IndexesInfoWasted disk, slower writes

Supported Databases

  • PostgreSQL — Full 6-finding detection via information_schema + pg_indexes
  • MySQL — Full detection via information_schema
  • SQLite — Full detection via sqlite_master + PRAGMA

Security

This tool runs read-only queries against database metadata catalogs only. It never executes SELECT on user tables, never writes, and holds no state between invocations. Connection strings are received via MCP JSON-RPC over stdin — never exposed in process listings.


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