# recit

> recit — codedbytahir-recit. Use this tool when you need to capture and process screen recordings locally without relying on cloud services. Recit enables AI agents to extract frames, take screenshots, and record screens, solving use cases such as automated testing, demo creation, and data collection. It accepts screen inputs and outputs captured frames, screenshots, and recordings through a local interface.

Canonical page: https://skillsregistry.net/skills/codedbytahir-recit  
JSON: https://api.skillsregistry.net/v1/skills/codedbytahir-recit

## Description

Free, open-source screen recording MCP server for AI agents. Enables screen capture, screenshots, and frame extraction locally without cloud dependencies.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/wnj9j5muv7)
- **Repository:** <https://github.com/codedbytahir/recit>

## 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": "codedbytahir-recit"
    }
  }
}
```

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