# Segmenting AI Workflow MCP Server

> Segmenting AI Workflow MCP Server — gnostotron-segmenting-ai-workflow-with-mcp. Use this tool when you need to streamline AI workflows by breaking them down into manageable steps, enabling efficient testing, tuning, and cost control. It provides OCR and keyword extraction capabilities, allowing for discrete processing and analysis of data. Ideal for optimizing AI workflows, this tool accepts unstructured data as input and outputs segmented, structured data for further processing and refinement.

Canonical page: https://skillsregistry.net/skills/gnostotron-segmenting-ai-workflow-with-mcp  
JSON: https://api.skillsregistry.net/v1/skills/gnostotron-segmenting-ai-workflow-with-mcp

## Description

This MCP server provides tools for OCR and keyword extraction, enabling AI workflows to be split into discrete steps for easier testing, tuning, and cost control.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/o2i5bnsxrx)
- **Repository:** <https://github.com/gnostotron/segmenting_ai_workflow_with_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": "gnostotron-segmenting-ai-workflow-with-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/gnostotron-segmenting-ai-workflow-with-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/gnostotron-segmenting-ai-workflow-with-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