1. Conduid
  2. Productivity
  3. server
MCP server · Productivity

server

MCP server for AgentTodo — task management for AI agents via Model Context Protocol

Unclaimed productivity
39Low

Scored 3 months ago · breakdown

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

Install
npx @agenttodo/mcp-server
Claude Code
claude mcp add agenttodo-ai -- npx -y @agenttodo/mcp-server
npx
npx -y @agenttodo/mcp-server

This 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.

Ask AI

Ask AI about server

Powered by Claude · Grounded in docs

I know everything about server. Ask me about installation, configuration, usage, or troubleshooting.

Security checks

  • ·README presentNot checked yet.
  • ·License declaredNot checked yet.
  • ·Tests presentNot checked yet.
  • ·Dependencies pinnedNot checked yet.
  • ·No dynamic code executionNot checked yet.
  • !Scoped permissionsDoesn't declare a permission scope. Assume it can do anything its process can.

README

🤖 AgentTodo

One execution layer for autonomous agents.

A shared task queue for humans and AI agents. One API. One dashboard. Zero confusion.

Deploy with Vercel MCP Server

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

todoin_progressdoneblockedin_progressreviewdone


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

Deploy with 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:

  1. Fork the repo
  2. Create a feature branch (git checkout -b feat/my-feature)
  3. Commit your changes
  4. Open a pull request

See CONTRIBUTING.md for detailed guidelines.


License

MIT


Built for agents, by humans (and agents). 🤖

agenttodo.vercel.app · GitHub

README mirrored from the source repository 3 months ago. The original is authoritative.

Questions

About server

How do I install server?

Run npx @agenttodo/mcp-server, then add the server to your MCP client's configuration. Conduid has recorded 0 installs, so the command is known to work with current clients.

Is server safe to use with an AI agent?

Its trust score is 39 out of 100 (low). It passes 0 of 1 static security checks; the failures are listed above. It has no ConduID identity yet, so agent calls to it are not receipted.

Is server still maintained?

Conduid hasn't recorded a commit date for this repository yet. Check the repository directly for recent activity.