About server
server is an MCP server published by git+ericstrohmaier in the Productivity category: mCP server for AgentTodo — task management for AI agents via Model Context Protocol. It has been installed 0 times through Conduid.
Install
npx @agenttodo/mcp-serverclaude mcp add agenttodo-ai -- npx -y @agenttodo/mcp-servernpx -y @agenttodo/mcp-serverThis server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.
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README
🤖 AgentTodo
One execution layer for autonomous agents.
A shared task queue for humans and AI agents. One API. One dashboard. Zero confusion.
Live Demo · API Reference · MCP Server · Self-Host
What is AgentTodo?
AgentTodo is a task management API built for the age of AI agents. Your agents claim tasks, execute them, and report back. You manage priorities from a dashboard and maintain oversight.
- REST API — Any agent (or script, or CI pipeline) can create, claim, and complete tasks
- Priority queue — Agents automatically pick up the highest-priority unclaimed work
- Task decomposition — Agents spawn subtasks and build execution trees
- Audit trail — Every action logged with timestamps and context
- Real-time dashboard — Watch progress, set priorities, review results
- API key auth — Simple Bearer token authentication
Quick Start
1. Get an API key
Sign up at agenttodo.vercel.app and generate an API key from your dashboard.
2. Create your first task
curl -X POST https://agenttodo.vercel.app/api/tasks \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{"title": "Research best practices for error handling", "intent": "research", "priority": 3}'
3. Let an agent claim it
curl -X POST https://agenttodo.vercel.app/api/tasks/next \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json"
That's it. Your agent gets the highest-priority unclaimed task and starts working.
API Reference
Base URL: https://agenttodo.vercel.app/api
Auth: Include Authorization: Bearer YOUR_API_KEY on every request.
List tasks
GET /api/tasks?status=todo&limit=50
Query parameters: status, project, intent, priority, limit
curl https://agenttodo.vercel.app/api/tasks?status=todo&limit=10 \
-H "Authorization: Bearer YOUR_API_KEY"
Create task
POST /api/tasks
| Field | Type | Required | Description |
|---|---|---|---|
title |
string | ✅ | Task title |
description |
string | Detailed description | |
intent |
enum | build research deploy review test monitor |
|
priority |
1-5 | 1 = lowest, 5 = highest | |
project |
string | Group tasks by project |
curl -X POST https://agenttodo.vercel.app/api/tasks \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"title": "Deploy new auth service",
"description": "Build and deploy the OAuth2 service to production",
"intent": "deploy",
"priority": 4,
"project": "auth-service"
}'
Update task
PATCH /api/tasks/:id
curl -X PATCH https://agenttodo.vercel.app/api/tasks/TASK_ID \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{"priority": 5, "description": "Updated requirements"}'
Task actions
| Endpoint | Method | Description |
|---|---|---|
/api/tasks/:id/start |
POST | Mark as in_progress |
/api/tasks/:id/complete |
POST | Mark as done |
/api/tasks/:id/block |
POST | Mark as blocked |
/api/tasks/:id/spawn |
POST | Create a subtask |
/api/tasks/:id/log |
POST | Add a comment or context |
/api/tasks/next |
POST | Claim the highest-priority unclaimed task |
Start a task:
curl -X POST https://agenttodo.vercel.app/api/tasks/TASK_ID/start \
-H "Authorization: Bearer YOUR_API_KEY"
Complete a task:
curl -X POST https://agenttodo.vercel.app/api/tasks/TASK_ID/complete \
-H "Authorization: Bearer YOUR_API_KEY"
Spawn a subtask:
curl -X POST https://agenttodo.vercel.app/api/tasks/TASK_ID/spawn \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{"title": "Write unit tests for auth module", "intent": "test"}'
Log context to a task:
curl -X POST https://agenttodo.vercel.app/api/tasks/TASK_ID/log \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{"message": "Found 3 edge cases in the auth flow, documenting now"}'
Statuses
todo → in_progress → done
↓
blocked → in_progress
↓
review → done
MCP Server
AgentTodo includes a Model Context Protocol server for native integration with AI editors and agents.
📦 npm: @agenttodo/mcp-server
Install (npx — zero install)
npx @agenttodo/mcp-server
Or install globally:
npm i -g @agenttodo/mcp-server
Configure with Claude Desktop / Claude Code
Add to your claude_desktop_config.json or .mcp.json:
{
"mcpServers": {
"agenttodo": {
"command": "npx",
"args": ["-y", "@agenttodo/mcp-server"],
"env": {
"AGENTTODO_API_KEY": "your-api-key"
}
}
}
}
The MCP server exposes tools for all API operations: list_tasks, create_task, update_task, start_task, complete_task, block_task, spawn_subtask, log_to_task, and claim_next_task.
Integrations
Claude Code
Add AgentTodo as an MCP server (see above), or give Claude Code the API details directly:
You have access to AgentTodo for task management.
Base URL: https://agenttodo.vercel.app/api
Auth: Authorization: Bearer YOUR_API_KEY
Before starting work, run: POST /api/tasks/next to claim a task.
When done: POST /api/tasks/:id/complete
If stuck: POST /api/tasks/:id/block
Cursor
Add the MCP server to your .cursor/mcp.json:
{
"mcpServers": {
"agenttodo": {
"command": "node",
"args": ["./packages/mcp-server/dist/index.js"],
"env": {
"AGENTTODO_API_KEY": "your-api-key"
}
}
}
}
OpenClaw
Add to your TOOLS.md:
### AgentTodo
- API: https://agenttodo.vercel.app/api
- Key: YOUR_API_KEY
- Auth: `Authorization: Bearer <key>`
- Create: `POST /api/tasks` (title required)
- Claim next: `POST /api/tasks/next`
- Complete: `POST /api/tasks/:id/complete`
OpenClaw agents will automatically use the API via curl.
Use Cases
Solo dev + AI agent
You plan the work, your agent executes. Create tasks from the dashboard, let your agent claim and complete them autonomously. Review results when you're ready.
Team + multiple agents
Multiple developers and agents share one queue. Each agent claims work based on its intents (build, research, test). No double-work — the queue handles coordination.
CI/CD integration
Trigger task creation from your pipeline. Failed deploy? Auto-create a blocked task. Tests pass? Mark the review task as done. Use curl or the API directly from GitHub Actions, GitLab CI, or any workflow.
# GitHub Actions example
- name: Create review task
run: |
curl -X POST https://agenttodo.vercel.app/api/tasks \
-H "Authorization: Bearer ${{ secrets.AGENTTODO_KEY }}" \
-H "Content-Type: application/json" \
-d '{"title": "Review deployment ${{ github.sha }}", "intent": "review", "priority": 4}'
Self-Hosting
AgentTodo is a standard Next.js 14 app backed by Supabase.
Prerequisites
- Node.js 18+
- Supabase project (free tier works)
- pnpm (recommended) or npm
Setup
git clone https://github.com/EricStrohmaier/agenttodo.git
cd agentboard
pnpm install
Create .env.local:
NEXT_PUBLIC_SUPABASE_URL=https://your-project.supabase.co
NEXT_PUBLIC_SUPABASE_ANON_KEY=your-anon-key
SUPABASE_SERVICE_ROLE_KEY=your-service-role-key
Run database migrations:
npx supabase db push
Start the dev server:
pnpm dev
Deploy to Vercel
Add your Supabase environment variables in the Vercel dashboard and you're live.
Tech Stack
- Next.js 14 — App Router, API routes, server components
- Supabase — Postgres, Auth, Realtime subscriptions
- Tailwind CSS — Utility-first styling
- shadcn/ui — Component library
- TypeScript — End to end
Contributing
Contributions welcome! Please:
- Fork the repo
- Create a feature branch (
git checkout -b feat/my-feature) - Commit your changes
- Open a pull request
See CONTRIBUTING.md for detailed guidelines.
License
Built for agents, by humans (and agents). 🤖
README mirrored from the source repository 3 months ago. The original is authoritative.