# Acture MCP

> Use this tool when you need to convert complex engineering data into concise, shareable reports. Acture MCP solves the problem of manual data interpretation by transforming raw signals into structured narratives, leveraging GitHub data to generate informative summaries. It takes in raw engineering signals and GitHub data as inputs, producing narrative reports as outputs, ideal for use cases where data-driven insights need to be communicated efficiently.

Canonical page: https://skillsregistry.net/skills/vkhafizov-acture-mcp  
JSON: https://api.skillsregistry.net/v1/skills/vkhafizov-acture-mcp

## Description

Turns raw engineering signals into narrative reports by exposing GitHub data via MCP, enabling AI agents to generate structured, shareable engineering summaries.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/qxvibvsk8l)
- **Repository:** <https://github.com/vkhafizov/acture-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": "vkhafizov-acture-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/vkhafizov-acture-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/vkhafizov-acture-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