# MCP Sienge Node

> MCP Sienge Node — frlorenzon-mcp-sienge-node. Use this tool when you need to interact with the Sienge API using Node.js, providing a server for modules like nucleus, cadastros, and compras with parity validation. It solves problems related to API integration, data validation, and module management, offering a reliable interface for inputs and outputs. Ideal for use cases requiring seamless communication with the Sienge API, ensuring data consistency and accuracy.

Canonical page: https://skillsregistry.net/skills/frlorenzon-mcp-sienge-node  
JSON: https://api.skillsregistry.net/v1/skills/frlorenzon-mcp-sienge-node

## Description

A Node.js MCP server that provides tools for interacting with the Sienge API, covering modules like nucleus, cadastros, and compras with parity validation against the Python version.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ga26o2v9pv)
- **Repository:** <https://github.com/frlorenzon/MCP-Sienge-Node>

## 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": "frlorenzon-mcp-sienge-node"
    }
  }
}
```

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