# ai.usertold/usertold-mcp

> ai.usertold/usertold-mcp — ai-usertold-usertold-mcp. Use this tool when you need to integrate AI agents with UserTold's interview and evidence management capabilities, streamlining workflows and prioritizing tasks. It connects agents to relevant data, facilitating efficient delivery and decision-making processes. Ideal for use cases requiring automated evidence analysis and workflow optimization.

Canonical page: https://skillsregistry.net/skills/ai-usertold-usertold-mcp  
JSON: https://api.skillsregistry.net/v1/skills/ai-usertold-usertold-mcp

## Description

Run in-product voice interviews with AI agents and analyze source-linked evidence.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.25.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-26

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.usertold%2Fusertold-mcp)

## Use it

MCP endpoint published by the skill: `https://mcp.usertold.ai/mcp`

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": "ai-usertold-usertold-mcp"
    }
  }
}
```

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