# flexorch-mcp

> Use this tool when you need to extract insights from documents and protect sensitive information. It enables AI agents like Claude to process documents, detect personally identifiable information (PII), and export structured data for large language models (LLMs). Ideal for natural language processing tasks that require data extraction, PII detection, and dataset preparation.

Canonical page: https://skillsregistry.net/skills/flexorch-flexorch-mcp  
JSON: https://api.skillsregistry.net/v1/skills/flexorch-flexorch-mcp

## Description

Enables Claude and other MCP-compatible agents to process documents, extract structured data, detect PII, and export LLM-ready datasets through natural language tool calls.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/cjo4e8h9wn)
- **Repository:** <https://github.com/flexorch/flexorch-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": "flexorch-flexorch-mcp"
    }
  }
}
```

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