# Acemcp

> Use this tool when you need to efficiently search and discover relevant code snippets across large codebases using natural language queries. It solves problems of manual code searching, enabling developers to quickly find specific code segments and understand their context. The tool takes natural language inputs and returns relevant code snippets with file paths and line numbers as output.

Canonical page: https://skillsregistry.net/skills/qy527145-acemcp  
JSON: https://api.skillsregistry.net/v1/skills/qy527145-acemcp

## Description

Enables semantic code search across codebases with automatic incremental indexing. Searches return relevant code snippets with file paths and line numbers based on natural language queries.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-04-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/r5txsmgfkx)
- **Repository:** <https://github.com/qy527145/acemcp>

## 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": "qy527145-acemcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/qy527145-acemcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/qy527145-acemcp/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