# task-checkpoint-mcp

> task-checkpoint-mcp — qddfxp-task-checkpoint-mcp. Use this tool when you need to manage and track progress of long-running tasks, allowing for seamless checkpointing, rollback, and resumption across sessions and machines. It solves problems of task interruption, manual progress tracking, and collaboration by providing a reliable and dependency-free way to hand off tasks. The task-checkpoint-mcp server accepts task steps as input and outputs a recoverable state, making it ideal for use with MCP clients like Claude Code and Codex.

Canonical page: https://skillsregistry.net/skills/qddfxp-task-checkpoint-mcp  
JSON: https://api.skillsregistry.net/v1/skills/qddfxp-task-checkpoint-mcp

## Description

MCP server adding checkpoint and resume to long agent tasks: roll back to any step, pick the work up in a new session, hand off to another machine. Works with Claude Code, Codex and other MCP clients. Pure Python stdlib, zero dependencies, never touches your git history.

## Trust

- **Trust score (0–1):** 0.83
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/qddfxp/task-checkpoint-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": "qddfxp-task-checkpoint-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/qddfxp-task-checkpoint-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/qddfxp-task-checkpoint-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