# Metaview

> Use this tool when you need to streamline your hiring process and make informed decisions. Metaview provides access to structured interview notes and candidate insights, solving problems related to candidate tracking and feedback management. It takes in interview data and outputs actionable insights, making it ideal for use during the recruitment and selection phase.

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

## Description

Access structured interview notes and candidate insights. Search past interviews, review feedback, and track hiring decisions.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-05-11

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/metaview)

## 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": "metaview"
    }
  }
}
```

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