# qmcp

> Use this tool when you need to efficiently search through large codebases and documentation using natural language queries. The qmcp semantic search server solves problems of information retrieval and discovery, supporting multi-language indexing and live updates. It takes in natural language queries as input and outputs relevant code and documentation results, ideal for use cases where quick and accurate code discovery is crucial.

Canonical page: https://skillsregistry.net/skills/bigkaa-qmcp  
JSON: https://api.skillsregistry.net/v1/skills/bigkaa-qmcp

## Description

Semantic search server for code and documentation using Qdrant vector database. Supports multi-language indexing, live updates, and natural language queries.

## Trust

- **Trust score (0–1):** 0.66
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/sxjs9i0qjd)
- **Repository:** <https://github.com/BigKAA/qmcp>

## 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": "bigkaa-qmcp"
    }
  }
}
```

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