# TableFox

> TableFox — adhrit-verma-tablefox. Use this tool when you need to efficiently navigate complex database structures, as TableFox maps PostgreSQL schemas into searchable graphs of tables, columns, and relationships, solving the problem of slow and expensive schema dumps. It takes database schema as input and outputs a navigable graph, making it ideal for use cases where AI agents or humans need to quickly understand database relationships. Use TableFox in contexts where database exploration and query optimization are crucial, such as data analysis or application development.

Canonical page: https://skillsregistry.net/skills/adhrit-verma-tablefox  
JSON: https://api.skillsregistry.net/v1/skills/adhrit-verma-tablefox

## Description

TableFox is a local-first PostgreSQL schema intelligence tool designed to help AI agents and humans navigate complex database structures . Instead of requiring a full schema dump in every prompt—which is expensive and slow—TableFox maps the database into a searchable graph of tables, columns, and relationships.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/Adhrit-Verma/TableFox)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "adhrit-verma-tablefox"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/adhrit-verma-tablefox` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/adhrit-verma-tablefox/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt