# docflow-mcp

> Use this tool when you need to automate document processing and compliance reviews for large volumes of documents. It enables classification, field and table extraction, and stamp detection, solving problems related to manual document review and data extraction. The tool accepts documents as input and outputs extracted data and compliance review results, making it ideal for use cases involving document-heavy workflows.

Canonical page: https://skillsregistry.net/skills/intsig-textin-docflow-mcp  
JSON: https://api.skillsregistry.net/v1/skills/intsig-textin-docflow-mcp

## Description

Enables LLM agents to classify documents, extract fields, tables, and stamps, and run compliance reviews using Docflow's document automation platform via 41 MCP tools.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **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/rgj66sgyro)
- **Repository:** <https://github.com/intsig-textin/docflow-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": "intsig-textin-docflow-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/intsig-textin-docflow-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/intsig-textin-docflow-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