# CafeASP NetSuite

> Use this tool when you need to integrate conversational AI with NetSuite data, enabling queries, record management, and SuiteQL executions through a REST API and Model Context Protocol interface, with token-based authentication for secure access. It solves problems related to accessing and managing NetSuite data for AI-powered applications. Ideal for use cases requiring seamless interaction between AI clients and NetSuite data, such as data analysis, record updates, and automated workflows.

Canonical page: https://skillsregistry.net/skills/cafeasp-netsuite  
JSON: https://api.skillsregistry.net/v1/skills/cafeasp-netsuite

## Description

CafeASP NetSuite is a developer-focused toolkit that exposes NetSuite's REST API and SuiteQL query engine through the Model Context Protocol. It enables conversational AI clients like Claude to query NetSuite data, manage records, and execute SuiteQL statements. The server uses token-based authentication and requires Node.js 18+.

## Trust

- **Trust score (0–1):** 0.63
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/cafeasp-netsuite)
- **Repository:** <https://github.com/cafeasp/cafeasp-netsuite-cli-mcp-server>

## 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": "cafeasp-netsuite"
    }
  }
}
```

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