# sprklai/zenii

> Use this tool when you need to leverage a local AI backend with persistent memory and access to multiple tools through a standardized interface. Zenii solves problems related to AI model deployment, data processing, and integration by providing 18 tools and 114 API routes via stdio transport. It is ideal for use cases requiring flexible and scalable AI-powered solutions, with inputs and outputs managed through a command-line interface using the Rust-based zenii-mcp-server command.

Canonical page: https://skillsregistry.net/skills/sprklai-zenii  
JSON: https://api.skillsregistry.net/v1/skills/sprklai-zenii

## Description

Zenii is a local AI backend with persistent memory, 18 tools, and 114 API routes. MCP server exposes all tools via stdio transport.

* Transport: stdio
* Command: zenii-mcp-server --transport stdio
* Language: Rust
* License: MIT

## 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:** api-integration
- **Updated:** 2026-04-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/jllmuogb92)
- **Repository:** <https://github.com/sprklai/zenii>

## 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": "sprklai-zenii"
    }
  }
}
```

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

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