# Conveo

> Use this tool when you need to automate qualitative research and analyze large amounts of interview data quickly. Conveo solves problems of manual research design and analysis, enabling rapid generation of behavioral insights at scale. It takes in study design inputs and outputs actionable insights in 50+ languages, reducing research timelines from weeks to days.

Canonical page: https://skillsregistry.net/skills/conveo  
JSON: https://api.skillsregistry.net/v1/skills/conveo

## Description

Conveo is a qualitative research platform that automates interview design and analysis using AI-led voice and video conversations. The MCP server integrates Conveo's research capabilities, enabling AI agents to design studies, analyze interview data, and generate behavioral insights at scale. The platform supports 50+ languages and reduces research timelines from weeks to days.

## 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:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-01

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/conveo)

## 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": "conveo"
    }
  }
}
```

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