# TableRAG

> TableRAG — bitdg-tablerag. Use this tool when you need to transform static data into a dynamic, queryable knowledge layer, solving problems of data discovery and evidence-based decision making. TableRAG takes Excel or CSV files as input and outputs a read-only AI knowledge layer, providing deterministic data queries and schema discovery. Ideal for use cases requiring transparent and trustworthy data analysis, such as auditing, reporting, or research.

Canonical page: https://skillsregistry.net/skills/bitdg-tablerag  
JSON: https://api.skillsregistry.net/v1/skills/bitdg-tablerag

## Description

Turns Excel/CSV folders into a traceable, read-only AI knowledge layer; provides deterministic data queries, schema discovery, and evidence-backed search via MCP.

## Trust

- **Trust score (0–1):** 0.66
- **Verification tier:** scanned
- **Last scanned:** 2026-08-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/qfvmb1i7ag)
- **Repository:** <https://github.com/BitDG/TableRAG>

## 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": "bitdg-tablerag"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/bitdg-tablerag` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/bitdg-tablerag/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