# Documentation Context Provider

> Use this tool when you need to integrate local markdown technical documentation into LLM workflows, enabling AI models to provide accurate and context-aware responses. It solves the problem of outdated information by allowing for dynamic updates without requiring server rebuilds. The Documentation Context Provider takes in markdown files and outputs queried information, making it ideal for use cases where access to up-to-date technical documentation is crucial.

Canonical page: https://skillsregistry.net/skills/yassinetk-mcp-docs-provider  
JSON: https://api.skillsregistry.net/v1/skills/yassinetk-mcp-docs-provider

## Description

Enable AI models to seamlessly access and query your local markdown technical documentation. This server allows for dynamic integration of documentation into LLM workflows, enhancing the model's ability to provide accurate and context-aware responses. Update your documentation without needing to rebuild the server, ensuring your AI always has the latest information.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-05-13

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/YassineTk/mcp-docs-provider)

## 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": "yassinetk-mcp-docs-provider"
    }
  }
}
```

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