# docstats

> Use this tool when you need to analyze the readability of text-based content, such as web pages, documents, and PDFs, to determine its clarity and accessibility. It calculates metrics like Flesch Reading Ease and grade levels, helping to identify complex language and improve communication. Input text or file URLs and receive readability scores as output to inform content optimization and audience targeting decisions.

Canonical page: https://skillsregistry.net/skills/ghchinoy-docstats  
JSON: https://api.skillsregistry.net/v1/skills/ghchinoy-docstats

## Description

MCP server that calculates readability metrics for text, web pages, and PDFs, providing scores like Flesch Reading Ease and grade levels.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/do2s2jl4lw)
- **Repository:** <https://github.com/ghchinoy/docstats>

## 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": "ghchinoy-docstats"
    }
  }
}
```

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