# docverity

> Use this tool when you need to verify the accuracy of documentation claims against source code, detect documentation drift, and generate suggestions for fixes. It takes in documentation claims and source code as inputs and outputs verification results and fix suggestions. Ideal for use cases where ensuring documentation consistency and accuracy is crucial, such as in software development and maintenance.

Canonical page: https://skillsregistry.net/skills/deveshagarwal-docverity  
JSON: https://api.skillsregistry.net/v1/skills/deveshagarwal-docverity

## Description

MCP server that enables coding agents to check documentation claims against source code, detecting drift and suggesting fixes.

## 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:** file-system
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/puy926bbjb)
- **Repository:** <https://github.com/deveshagarwal/docverity>

## 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": "deveshagarwal-docverity"
    }
  }
}
```

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