# docs-mcp

> Use this tool when you need to enable AI agents to search and retrieve information from Markdown or MDX documentation folders. It solves the problem of information discovery and access by providing full-text search capabilities over documentation content. The tool takes a documentation folder as input and outputs relevant search results, making it ideal for use cases where AI agents require access to specific information within large documentation repositories.

Canonical page: https://skillsregistry.net/skills/devista-consulting-docs-mcp  
JSON: https://api.skillsregistry.net/v1/skills/devista-consulting-docs-mcp

## Description

Gives AI agents full-text search over any Markdown/MDX documentation folder.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/wd50lysykh)
- **Repository:** <https://github.com/devista-consulting/docs-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": "devista-consulting-docs-mcp"
    }
  }
}
```

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