Server data from the Official MCP Registry
AI task cockpit: an agent does your tasks and asks before anything irreversible.
AI task cockpit: an agent does your tasks and asks before anything irreversible.
Remote endpoints: streamable-http: https://radtask.ai/api/mcp
Valid MCP server (1 strong, 1 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry.
3 tools verified · Open access · No issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
This plugin requests these system permissions. Most are normal for its category.
Remote Plugin
No local installation needed. Your AI client connects to the remote endpoint directly.
Add this to your MCP configuration to connect:
{
"mcpServers": {
"io-github-dougsureel-tech-radtask-mcp": {
"url": "https://radtask.ai/api/mcp"
}
}
}From the project's GitHub README.
Connect any AI to your task cockpit. RadTask is an AI task manager whose agent actually does the task — and asks first before anything irreversible. It runs a live MCP (Model Context Protocol) server, so Claude, ChatGPT, Cursor, or your own agent can create and track tasks that land in the user's RadTask cockpit, where a safe autonomous agent runs them.
Private beta. A tool with a safety design — not a guarantee.
Endpoint (Streamable HTTP, JSON-RPC 2.0):
https://radtask.ai/api/mcp?token=YOUR_TOKEN
Get your private token at radtask.ai/connect. The token is your cockpit's namespace — tasks an AI adds appear in your RadTask.
{
"mcpServers": {
"radtask": { "type": "http", "url": "https://radtask.ai/api/mcp?token=YOUR_TOKEN" }
}
}
| Tool | What it does |
|---|---|
create_task | Capture a task in plain English (optional project) |
list_tasks | List tasks, optionally filtered by status |
complete_task | Mark a task done by id |
Most "task manager" MCP servers are queues — they track what an AI should do. RadTask does the task: a real agent researches, drafts, writes documents, and schedules in a sandbox — and a deterministic risk classifier holds only the irreversible steps (sending, spending, deleting, publishing) for the user's one-tap approval.
The safety posture is published and machine-verifiable:
Design goal: zero unsupervised destructive actions. Irreversible actions are always held for a human.
MIT © Sureel
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