# ZERNO Lite MCP Server

> Use this tool when you need to securely provide AI agents with access to project briefs, tasks, and execution context. It solves the problem of remote access and data security for AI agents working on ZERNO projects, allowing them to receive and execute tasks remotely. The ZERNO Lite MCP Server takes in project data and authentication credentials as inputs and outputs secure, agent-specific task assignments and execution context.

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

## Description

Secure remote MCP server for giving AI agents access to ZERNO project briefs, tasks, and execution context.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/pfwku54a8o)
- **Repository:** <https://github.com/zernozerno/zerno-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": "zernozerno-zerno-mcp"
    }
  }
}
```

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