# semango

> semango — omarkamali-semango. Use this tool when you need to perform advanced searches that combine keyword matching and semantic understanding. Semango solves problems of inaccurate or incomplete search results by providing a hybrid search engine that can handle complex queries. It takes in search queries as input and returns relevant results, making it ideal for use cases where precise information retrieval is crucial, such as in software development or research projects.

Canonical page: https://skillsregistry.net/skills/omarkamali-semango  
JSON: https://api.skillsregistry.net/v1/skills/omarkamali-semango

## Description

🥭 Semango is a hybrid search engine that combines lexical (BM25) and semantic (vector) search. It ships with an MCP server, a simple HTTP API and optional embedded UI.

## Trust

- **Trust score (0–1):** 0.85
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/omarkamali/semango)

## 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": "omarkamali-semango"
    }
  }
}
```

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