# tablebridge

> Use this tool when you need to unify disparate data files into a single, queryable source, or when integrating data from multiple files is required for AI model training or analysis. Tablebridge solves data fragmentation problems by enabling SQL queries and JOINs across CSV, Parquet, and JSON files. It provides read-only, sandboxed access to a virtual table, making it ideal for secure data exploration and AI model development.

Canonical page: https://skillsregistry.net/skills/michael-whitecapdata-tablebridge-mcp  
JSON: https://api.skillsregistry.net/v1/skills/michael-whitecapdata-tablebridge-mcp

## Description

Turns a folder of CSV, Parquet, and JSON files into a single SQL-queryable source for AI agents, supporting JOINs across files with read-only sandboxed access.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/bj4ni1h666)
- **Repository:** <https://github.com/Michael-WhiteCapData/tablebridge-mcp>

## 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": "michael-whitecapdata-tablebridge-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/michael-whitecapdata-tablebridge-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/michael-whitecapdata-tablebridge-mcp/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