# clevertap-mcp

> Use this tool when you need to manage user profiles, events, and campaigns on the CleverTap platform through natural language interactions. It solves problems related to data analysis, campaign management, and multi-project configurations, providing a seamless interface for AI assistants to interact with the CleverTap REST API. With inputs such as natural language queries and outputs including user profiles, events, and campaign reports, this tool is ideal for use cases requiring automated campaign management and data analysis.

Canonical page: https://skillsregistry.net/skills/ralphcorleone-clevertap-mcp  
JSON: https://api.skillsregistry.net/v1/skills/ralphcorleone-clevertap-mcp

## Description

An MCP server that enables AI assistants to interact with the CleverTap REST API to manage user profiles, events, campaigns, and reports. It supports multi-project configurations and provides tools for data analysis and campaign management through natural language.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/pi2ibfqik2)
- **Repository:** <https://github.com/ralphcorleone/clevertap-mcp>

## 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": "ralphcorleone-clevertap-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ralphcorleone-clevertap-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ralphcorleone-clevertap-mcp/pull`

---
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