# mcp-features

> mcp-features — quebi-gmbh-mcp-features. Use this tool when you need to enhance coding capabilities in dev containers with features like code intelligence and repository search. It solves problems such as navigating complex codebases and finding specific code references, by providing go-to-definition, find references, and hybrid search functionality. It takes project files as input and outputs enhanced coding capabilities, ideal for use cases where developers require intelligent code assistance and knowledge discovery.

Canonical page: https://skillsregistry.net/skills/quebi-gmbh-mcp-features  
JSON: https://api.skillsregistry.net/v1/skills/quebi-gmbh-mcp-features

## Description

Provides Dev Container Features that install code intelligence (LSP) and repository knowledge search (Orama) MCP servers into any dev container, enabling coding agents to perform go-to-definition, find references, and hybrid search over project files.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ax8wg6pl2n)
- **Repository:** <https://github.com/quebi-gmbh/mcp-features>

## 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": "quebi-gmbh-mcp-features"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/quebi-gmbh-mcp-features` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/quebi-gmbh-mcp-features/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
