# handoff-mcp

> Use this tool when you need to maintain continuity in AI coding tasks across multiple sessions. It solves problems of lost context and duplicated efforts by saving and loading session data, including tasks, decisions, and blockers. The handoff-mcp tool accepts session context as input and outputs a persistent memory state, ideal for use in iterative coding and decision-making workflows.

Canonical page: https://skillsregistry.net/skills/alphaelements-handoff-mcp  
JSON: https://api.skillsregistry.net/v1/skills/alphaelements-handoff-mcp

## Description

Provides persistent memory for AI coding agents across sessions by saving and loading session context like tasks, decisions, and blockers.

## Trust

- **Trust score (0–1):** 0.14
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/xnqmy4anew)
- **Repository:** <https://github.com/alphaelements/handoff-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": "alphaelements-handoff-mcp"
    }
  }
}
```

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