# apcore-mcp

> apcore-mcp — aiperceivable-apcore-mcp. Use this tool when you need to integrate Automatic MCP Server with OpenAI tools and apcore, solving issues of compatibility and automation between these platforms. It bridges the gap between apcore and MCP servers, enabling seamless interaction and workflow optimization. Ideal for use cases involving git version control and AI-driven development workflows.

Canonical page: https://skillsregistry.net/skills/aiperceivable-apcore-mcp  
JSON: https://api.skillsregistry.net/v1/skills/aiperceivable-apcore-mcp

## Description

Automatic MCP Server & OpenAI Tools Bridge for apcore.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/aiperceivable/apcore-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": "aiperceivable-apcore-mcp"
    }
  }
}
```

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

---
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