# GameRamp Singular API Server

> Use this tool when you need to integrate marketing analytics and AI-powered insights into your workflow, solving problems such as campaign optimization and performance tracking. It takes in Singular data as input and outputs detailed campaign reports, cohort and LTV analysis, and natural language reports through an intuitive interface. Use it to access real-time data and advanced metrics, optimizing marketing performance in various contexts, including campaign management and business intelligence.

Canonical page: https://skillsregistry.net/skills/glitchcraft-inc-singular-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/glitchcraft-inc-singular-mcp-server

## Description

Provide comprehensive marketing analytics and AI-powered insights by integrating Singular data with your tools. Generate detailed campaign reports, perform cohort and LTV analysis, and build natural language reports to optimize marketing performance. Access real-time data and advanced metrics seamlessly through an intuitive interface.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** data-analytics
- **Updated:** 2026-05-13

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/Glitchcraft-Inc/singular-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": "glitchcraft-inc-singular-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/glitchcraft-inc-singular-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/glitchcraft-inc-singular-mcp-server/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
