# talkthrough-mcp

> talkthrough-mcp — korovin-aa97-talkthrough-mcp. Use this tool when you need to efficiently provide feedback to AI agents and automate tasks such as bug tracking, specification writing, and backlog building. It ingests feedback through screen recordings and voice input, streamlining the process of identifying and addressing issues. Ideal for use cases where manual documentation and reporting are time-consuming and prone to errors.

Canonical page: https://skillsregistry.net/skills/korovin-aa97-talkthrough-mcp  
JSON: https://api.skillsregistry.net/v1/skills/korovin-aa97-talkthrough-mcp

## Description

Feedback ingestion for AI agents. Record your screen and talk; your agent does the rest — files the bugs, writes the spec, builds the backlog.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/tomo43kshq)
- **Repository:** <https://github.com/korovin-aa97/talkthrough-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": "korovin-aa97-talkthrough-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/korovin-aa97-talkthrough-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/korovin-aa97-talkthrough-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