planning-task-mcp
Full autonomous project management MCP server enabling AI assistants to manage projects, sprints, tasks, bugs, proposals, and team collaboration via natural language.
README
planning-task-mcp
MCP Server for full autonomous project management. Manage projects, sprints, tasks, bugs, proposals, and more — all from your AI coding assistant.
Works with Claude Code, Claude Desktop, Codex (OpenAI), Gemini CLI, Cursor, Windsurf, and VS Code Copilot.
Features
- Projects, sprints, and task management with User Stories
- Bug tracking and proposals
- Team collaboration (members, invitations, comments, notifications)
- Sprint planning from natural language documents
- Analytics dashboards and burndown charts
- Achievements and gamification
- Workflow automation rules
- Time tracking and retrospectives
Prerequisites
- Node.js >= 18
- A Firebase project with Realtime Database enabled
- A Firebase Service Account Key (JSON file)
Install
npm install -g planning-task-mcp
Setup
After installing, run the interactive setup:
planning-task-mcp-setup
This will:
- Ask for your Firebase Service Account Key path
- Configure your Firebase Database URL
- Set your default user ID and name
- Auto-register the MCP in all detected AI clients (Claude Code, Codex, Gemini, Cursor, etc.)
- Configure auto-approve permissions where supported
CLI mode (non-interactive)
planning-task-mcp-setup \
--sa-key /path/to/serviceAccountKey.json \
--db-url https://your-project-default-rtdb.firebaseio.com \
--user-id your-firebase-uid \
--user-name "Your Name"
Manual configuration
If you prefer to configure manually, add this to your MCP client config:
Claude Code (~/.mcp.json):
{
"mcpServers": {
"planning-task-mcp": {
"command": "planning-task-mcp",
"args": [],
"env": {
"GOOGLE_APPLICATION_CREDENTIALS": "/path/to/serviceAccountKey.json",
"FIREBASE_DATABASE_URL": "https://your-project-default-rtdb.firebaseio.com",
"DEFAULT_USER_ID": "your-uid",
"DEFAULT_USER_NAME": "Your Name"
}
}
}
}
Codex (~/.codex/config.toml):
[mcp_servers.planning-task-mcp]
command = "planning-task-mcp"
args = []
[mcp_servers.planning-task-mcp.env]
GOOGLE_APPLICATION_CREDENTIALS = "/path/to/serviceAccountKey.json"
FIREBASE_DATABASE_URL = "https://your-project-default-rtdb.firebaseio.com"
DEFAULT_USER_ID = "your-uid"
DEFAULT_USER_NAME = "Your Name"
Gemini CLI (~/.gemini/settings.json):
{
"mcpServers": {
"planning-task-mcp": {
"command": "planning-task-mcp",
"args": [],
"env": {
"GOOGLE_APPLICATION_CREDENTIALS": "/path/to/serviceAccountKey.json",
"FIREBASE_DATABASE_URL": "https://your-project-default-rtdb.firebaseio.com",
"DEFAULT_USER_ID": "your-uid",
"DEFAULT_USER_NAME": "Your Name"
}
}
}
}
Environment Variables
| Variable | Required | Description |
|---|---|---|
GOOGLE_APPLICATION_CREDENTIALS |
Yes | Path to Firebase Service Account Key JSON |
FIREBASE_DATABASE_URL |
Yes | Firebase Realtime Database URL |
DEFAULT_USER_ID |
No | Default Firebase Auth UID for operations |
DEFAULT_USER_NAME |
No | Default user display name |
Available Tools (70+)
| Category | Tools |
|---|---|
| Projects | create, list, get, update, delete, dashboard, summary |
| Sprints | create, list, get, update, delete, burndown, retrospective |
| Tasks | create, list, get, update, delete, search, assign, change status |
| Bugs | create, list, get, update, delete |
| Epics | create, list, get, update, delete, add/remove tasks |
| Proposals | create, list, get, update, delete, approve/reject |
| Comments | create, list, delete |
| Notifications | list, send, mark read, clear |
| Members | add, list, remove, change role |
| Invitations | send, list, accept, reject |
| Users | list, get, search |
| Analytics | project dashboard, developer workload, leaderboard |
| Planning | create full plan from document, create sprint plan |
| Templates | create, list, delete task templates |
| Workflows | create, list, update, delete, toggle automation rules |
| Time Tracking | create, list, delete time entries |
| Saved Views | create, list, delete custom views |
| Achievements | list, evaluate user achievements |
| Standup | get daily standup data |
Usage
Once configured, just talk to your AI assistant:
- "Create a new project called MyApp"
- "Plan a sprint from this requirements document"
- "Show me the burndown chart for the current sprint"
- "Assign task T-123 to user X"
- "What's the developer workload for this sprint?"
License
MIT
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。