# Customer Registration MCP Server

> Use this tool when you need to efficiently manage customer records and streamline registration processes. It solves problems related to customer data management, such as creating and updating records, by providing an external API with secure Bearer token authentication. The tool accepts inputs like name, email, phone, and optional data, and outputs managed customer records, ideal for use cases requiring centralized customer information management.

Canonical page: https://skillsregistry.net/skills/rodrigoai-mcpnova  
JSON: https://api.skillsregistry.net/v1/skills/rodrigoai-mcpnova

## Description

Enables creating and managing customer records via an external API with Bearer token authentication, supporting required fields (name, email, phone) and extensive optional data including addresses, UTM parameters, and tags.

## Trust

- **Trust score (0–1):** 0.74
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** communication
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/r2jm4d43tq)
- **Repository:** <https://github.com/rodrigoai/mcpNova>

## 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": "rodrigoai-mcpnova"
    }
  }
}
```

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