# moderngl-docs-mcp

> Use this tool when you need to efficiently search ModernGL documentation using a combination of keyword and semantic search. It solves problems of quickly finding relevant information within large documentation sets, and accepts search queries as input, returning relevant document results as output. Ideal for use cases where precise and context-aware search functionality is required to navigate complex documentation.

Canonical page: https://skillsregistry.net/skills/nzxhuong-moderngl-docs-mcp  
JSON: https://api.skillsregistry.net/v1/skills/nzxhuong-moderngl-docs-mcp

## Description

Enables hybrid keyword and semantic search over ModernGL documentation using FTS5 and vector embeddings, with a single search_docs tool.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/gto4qf6glh)
- **Repository:** <https://github.com/nzxhuong/moderngl_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": "nzxhuong-moderngl-docs-mcp"
    }
  }
}
```

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