# NuMetric MCP Server

> NuMetric MCP Server — lowwmax-numetric-mcp-connector. Use this tool when you need to access live business data from the NuMetric.work platform, enabling AI assistants to provide accurate and up-to-date information on financial statements, invoices, and other business metrics. It solves problems related to data querying and retrieval, providing read-only access to 38 tools and various business data points. Ideal for use cases where AI-driven insights and reporting are required, without modifying underlying data.

Canonical page: https://skillsregistry.net/skills/lowwmax-numetric-mcp-connector  
JSON: https://api.skillsregistry.net/v1/skills/lowwmax-numetric-mcp-connector

## Description

A read-only MCP server for the NuMetric.work accounting/POS/ERP platform, exposing 38 tools to query live business data such as financial statements, invoices, taxes, projects, inventory, and documents. It enables AI assistants to answer from real accounting data without any create, edit, or delete capabilities.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/bqwrfz30wu)
- **Repository:** <https://github.com/lowwmax/numetric-mcp-connector>

## 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": "lowwmax-numetric-mcp-connector"
    }
  }
}
```

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