# DevDocs MCP Server

> Use this tool when you need to integrate large volumes of technical documentation with AI models like Claude, enabling intelligent querying and transforming static data into actionable resources. It solves the problem of making technical documentation interactive and accessible to large language models (LLMs). The DevDocs MCP Server takes in crawled technical documentation as input and outputs an interface for LLMs to directly interact with the data.

Canonical page: https://skillsregistry.net/skills/cyberagiinc-devdocs  
JSON: https://api.skillsregistry.net/v1/skills/cyberagiinc-devdocs

## Description

Integrates with Claude to enable intelligent querying of documentation data, transforming crawled technical documentation into an actionable resource that LLMs can directly interact with.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/n7k2p9zf7s)
- **Repository:** <https://github.com/cyberagiinc/DevDocs>

## 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": "cyberagiinc-devdocs"
    }
  }
}
```

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

---
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