
Project Handoffs
Facilitates AI session handoffs and next steps tracking through project-based organization, supporting task prioritization and seamless workflow management.
davidorex
Tools
list_templates
List available templates for next steps, working sessions, and handoffs
create_project
Create a new project for tracking AI session handoffs
delete_project
Delete a project and all its data
create_next_step
Create a new next step in a project
start_working_session
Start working on a next step
create_handoff
Complete a working session with handoff details
get_latest_next_steps
Get open next steps ordered by priority
get_next_step_history
Get complete history of a next step including session and handoff
README
Project Handoffs MCP Server
MCP server for managing AI session handoffs and next steps tracking.
Core Concepts
- NextStep → WorkingSession → Handoff → New NextStep chains
- Project-based organization
- Priority levels mapped to implementation impact:
- core-critical: Critical for working implementation
- full-required: Necessary for desired implementation
- enhancement: Improvements and optimizations
Available Tools
list_templates
- List available templates for next steps, working sessions, and handoffscreate_project
- Create a new project for tracking AI session handoffsdelete_project
- Delete a project and all its datacreate_next_step
- Create a new next step in a projectstart_working_session
- Start working on a next stepcreate_handoff
- Complete a working session with handoff detailsget_latest_next_steps
- Get open next steps ordered by priorityget_next_step_history
- Get complete history of a next step including session and handoff
Installation
npm install
npm run build
Configuration
Add to your MCP configuration:
{
"mcpServers": {
"project-handoffs": {
"command": "/opt/homebrew/bin/node",
"args": ["/path/to/project-handoffs/build/index.js"],
"alwaysAllow": []
}
}
}
Project Structure
project-handoffs/
├── src/
│ ├── index.ts # Server implementation
│ ├── templates.ts # Entity templates
│ ├── types.ts # TypeScript types
│ └── errors.ts # Error handling
├── package.json
└── README.md
Development
# Install dependencies
npm install
# Development mode
npm run dev
# Build
npm run build
## Implementation Details
- Error handling through ProjectError class
- Template validation for all entity types
- Consistent state management
- Safe data persistence with proper error handling
- Type-safe implementation following project-memory-server patterns
## Security
If you discover a security vulnerability, please create a new issue with the label 'security'. We take all security reports seriously and will respond promptly.
## Contributing
Contributions are welcome. Feel free to submit a Pull Request.
## License
This project is licensed under the Apache License 2.0 - see the [LICENSE](LICENSE) file for details.
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Neon Database
MCP server for interacting with Neon Management API and databases
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.
AIO-MCP Server
🚀 All-in-one MCP server with AI search, RAG, and multi-service integrations (GitLab/Jira/Confluence/YouTube) for AI-enhanced development workflows. Folk from
React MCP
react-mcp integrates with Claude Desktop, enabling the creation and modification of React apps based on user prompts
Atlassian Integration
Model Context Protocol (MCP) server for Atlassian Cloud products (Confluence and Jira). This integration is designed specifically for Atlassian Cloud instances and does not support Atlassian Server or Data Center deployments.

Any OpenAI Compatible API Integrations
Integrate Claude with Any OpenAI SDK Compatible Chat Completion API - OpenAI, Perplexity, Groq, xAI, PyroPrompts and more.
MySQL Server
Allows AI assistants to list tables, read data, and execute SQL queries through a controlled interface, making database exploration and analysis safer and more structured.
Browser Use (used by Deploya.dev)
AI-driven browser automation server that implements the Model Context Protocol to enable natural language control of web browsers for tasks like navigation, form filling, and visual interaction.
Aindreyway Codex Keeper
Serves as a guardian of development knowledge, providing AI assistants with curated access to latest documentation and best practices.