# pepys-mcp

> pepys-mcp — ankurmans-pepys-mcp. Use this tool when you need to transcribe multimedia files with accurate speaker identification and timestamping. It solves problems of manual transcription and captioning, enabling efficient processing of audio and video data. The pepys-mcp tool takes audio and video files as input and outputs transcribed text with speaker labels, timestamps, and captions via the Pepys API.

Canonical page: https://skillsregistry.net/skills/ankurmans-pepys-mcp  
JSON: https://api.skillsregistry.net/v1/skills/ankurmans-pepys-mcp

## Description

Enables AI agents to transcribe audio and video with speaker labels, timestamps, and captions via Pepys API.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/euzm874z82)
- **Repository:** <https://github.com/ankurmans/pepys-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": "ankurmans-pepys-mcp"
    }
  }
}
```

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