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Searchable catalog of Model Context Protocol servers. Find tools that connect your AI assistant to the services and data you use.

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Servers/Code Execution/AppHandoff MCP Server
Code ExecutionOfficial
A

AppHandoff MCP Server

One shared context layer for AI agents and humans — live API specs, DB schemas, and versioned contracts across repos so every agent and teammate works from the same source of truth.

0 starsUpdated Aug 28, 2026

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Overview

The coordination layer for teams running multiple coding agents. One shared plan, typed context, and deployment truth—from plan to production. 1. Plan approved The plan and acceptance criteria are approved. 9:14 AM Active 2. Claude Code building Claude Code picks up the ticket and opens a draft PR. 9:21 AM Queued 3. Cursor review Cursor reviews the PR and requests changes. 9:37 AM Queued 4. Changes addressed Updates are pushed and review is requested again. 9:52 AM Queued 5. PR merged The approved pull request merges into main. 10:03 AM Queued 6. Deployed to production Production deployment completes and is visible. 10:08 AM Queued

Installation

Installation instructions are not available yet.

Configuration

Configuration example is not available yet.

Capabilities

  • Create a shared ticket

    Ask your AI to open a ticket that consolidates plans, acceptance criteria, and contracts into one source of truth for agent handoffs.

  • Track handoff status

    Have your AI check the timeline to see which agent is building, reviewing, or deploying, and whether a PR is merged or live.

  • Record review decisions

    Instruct your AI to log structured review outcomes and requested changes so every agent works from the same recorded context.

Tags

  • development
  • documentation
  • api
  • knowledge-retrieval
  • collaboration

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