# readeck_toolkit

> readeck_toolkit — dzarlax-ai-readeck-toolkit. Use this tool when you need to manage multi-tenant Telegram bots and MCP servers for Readeck, solving issues of scalable and containerized messaging solutions. It takes Git inputs and provides Docker image outputs, streamlining deployment and management processes. Ideal for use cases requiring automated and efficient messaging infrastructure setup.

Canonical page: https://skillsregistry.net/skills/dzarlax-ai-readeck-toolkit  
JSON: https://api.skillsregistry.net/v1/skills/dzarlax-ai-readeck-toolkit

## Description

Telegram bot (multi-tenant) and MCP server for Readeck. One Go module, two binaries, one Docker image.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** cloud-infra
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/Dzarlax-AI/readeck_toolkit)

## 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": "dzarlax-ai-readeck-toolkit"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dzarlax-ai-readeck-toolkit` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dzarlax-ai-readeck-toolkit/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