# surveysense-mcp

> surveysense-mcp — marilynceo-surveysense-mcp. Use this tool when you need to analyze survey data quickly and efficiently, solving problems such as manual data processing and delayed insights. It provides pre-computed metrics like NPS, CSAT, and sentiment analysis, accepting survey data as input and outputting actionable insights. Ideal for use cases requiring rapid trend detection, anomaly detection, and cross-tabulation, especially with Typeform surveys.

Canonical page: https://skillsregistry.net/skills/marilynceo-surveysense-mcp  
JSON: https://api.skillsregistry.net/v1/skills/marilynceo-surveysense-mcp

## Description

AI-native survey analytics MCP server. Pre-computed NPS, CSAT, sentiment analysis, cross-tabulation, trend detection, and anomaly detection in a single call. Typeform-first u2014 install and run in seconds.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** data-analytics
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/marilynceo/surveysense-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": "marilynceo-surveysense-mcp"
    }
  }
}
```

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