# Deckbook

> Deckbook — alifanov-deckbook. Use this tool when you need to create and manage tasks with fine-grained access control, allowing AI agents to interact with the Deckbook task tracker using project-scoped tokens as input and receiving task updates as output. It solves problems related to task management and access control in collaborative projects. Ideal for use cases where multiple AI agents need to coordinate and track tasks within a project.

Canonical page: https://skillsregistry.net/skills/alifanov-deckbook  
JSON: https://api.skillsregistry.net/v1/skills/alifanov-deckbook

## Description

MCP server for the Deckbook task tracker, allowing AI agents to create and manage tasks with project-scoped tokens.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **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/hixtose8cm)
- **Repository:** <https://github.com/alifanov/deckbook>

## 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": "alifanov-deckbook"
    }
  }
}
```

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