# ADMINV2MCP

> Use this tool when you need to interact with AdminV2 backend API operations using natural language or structured API calls, enabling AI agents to discover and execute tasks. It exposes backend operations as callable tools, solving problems related to API accessibility and automation. Ideal for use cases requiring seamless integration with AdminV2 services, it accepts natural language or API inputs and returns relevant outputs.

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

## Description

Exposes AdminV2 backend API operations as discoverable, callable tools for AI agents, enabling natural language or structured API interactions.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-01

## Facts

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

## Source

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

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