Backburner MCP server
io.github.RohitYajee8076/backburner·v1.0.0·2 starsRun long shell commands as background tasks: start them, keep working, collect the results later
2 stars
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If you have run it, two minutes of your experience saves the next person an afternoon.
Backburner tools (5, 1 write)
write = sends, deletes, buys or postsRead from the package source without running it. The installed server may list more.
cancel_taskwrite actionCancel a running task, killing its whole process tree.
list_tasksList recent tasks, newest first.
start_taskStart a shell command as a background task and return immediately.
task_resultGet a task's captured output (stdout+stderr merged).
task_statusCheck on a task: working, completed, failed, cancelled, timed_out, or interrupted.
Public scan report
scanner v0.1.9 · 2026-09-24 · same rubric, same numbers if you re-run it
- Code scan6 source files scanned20/25
- –Live reliabilityno gateway calls yet and no remote to proben/a
- –Tool poisoningtools not inspected (local package is not executed); not countedn/a
- Auth qualitylocal package, no credentials required12/15
- Maintenancelast push 53 days ago12/15
- Maintainer identityregistry namespace matches repository owner; GitHub account older than a year8/10
Findings (1)
- mediumsubprocess with shell=True
exec.shell-truebackburner_mcp-1.0.0/backburner/jobs.py: …rocess.Popen( command, shell=True, cwd=cwd, env=env, std…
How Backburner compares
Against every graded MCP server, from our own scans and uptime checks. Updated after each scan run.
- Safety score
- 80/100
- higher than 60% of 48,255 servers
- Tools
- 5
- the typical server has 7
- Tools that change things
- 20%
- typical: 0%. Fewer write tools means less an agent can break
- GitHub stars
- 2
- more than 75% of 28,688 servers
What its tools let an agent do: 3 read · 1 delete · 1 run or deploy
Install Backburner in Claude Code, Cursor or VS Code
claude mcp add backburner -- uvx backburner-mcp
What the publisher says
From the Backburner repository's README, as published. We do not edit it. Read it on GitHub
<!-- mcp-name: io.github.RohitYajee8076/backburner -->
Put your AI agent's slow work on the back burner. Keep cooking.
Background tasks for AI agents that outlive the conversation — start a long job, close the client, and the result is still waiting when you come back.
Durable & Restart-Proof ◦ Zero Infrastructure ◦ MCP Tasks (2026-07-28) ◦ Windows & Unix
📦 PyPI • 🗂️ MCP Registry • 🐛 Issues • 📄 MIT
📢 Updates
(SEP-2663, io.modelcontextprotocol/tasks). A Tasks-capable client can turn a starttask call into a durable task and drive it with tasks/get, tasks/update, and tasks/cancel — the standard async-job protocol — while the five plain tools keep working for every other client. Built against the 2026-07-28** spec (mcp 2.0).
- v1.0 — implements the official MCP Tasks extension
longer crashes tasks on Windows.
- v0.2.1 — output with non-ASCII characters (✓, emoji, any non-English text) no
(it was an artifact of the kill, not a real result); new animated demo below.
- v0.2.0 — exit_code is no longer reported for cancelled/timed-out tasks
Listed on the official MCP Registry as io.github.RohitYajee8076/backburner.
- v0.1.x — first release: 5 tools, task timeouts, command allow/deny policy.
backburner is an MCP server that gives any AI assistant — Claude, ChatGPT, Gemini, GitHub Copilot, Cursor, and any other MCP client — the ability to run long shell commands as background tasks — start a test suite, a build, a scrape, a batch job — then keep working and check back for the results, instead of sitting frozen until it finishes.
🔥 Why not just use my client's built-in background mode?
Because that lives inside the conversation — it disappears the moment the session ends. Close the chat, restart the client, reboot the laptop, and any in-session background work (and its output) is gone.
backburner keeps every task and its full output on disk (SQLite + per-task log files under ~/.backburner/), so your work outlives the session that started it:
today is still listed, with its result, in a brand-new session tomorrow.
- Start now, collect later — even in a different chat. A task you launch
restarting. Finished tasks keep their output; a task cut off by a crash is honestly marked interrupted, never silently dropped.
- Restart-proof. State survives the server, the client, and the machine
conversation or times out and loses the work.
- No waiting, no blocking. A 10-minute tool call no longer freezes the
See it for yourself — a real two-process proof (no mock-ups):
python docs/demo_restart.pyIt starts a job in one process, exits, then a separate process — which never saw the task id — finds the finished work waiting on disk.
Built on the MCP Tasks pattern, formalized in the 2026-07-28 spec release (SEP-2663): backburner speaks it natively (tasks/get / tasks/update / tasks/cancel) and exposes the same engine as plain tools, so it works with every client today.
🧰 Tools
Shortened. The full README is on GitHub.
Nothing above is checked by us. What we check is on the safety report.
Backburner: common questions
- Is Backburner MCP server safe?
- Mostly: it is graded B (80/100). Read the Backburner safety report
- How do I install Backburner?
- It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
- Does Backburner need an API key?
- No secret keys are declared. It reads 3 settings from the environment.
- Is Backburner maintained?
- The last commit was 94 days ago (2026-08-02). The latest release is v1.0.0.
- How does Backburner compare with other MCP servers?
- safety score 80/100 (higher than 60% of 48,255 servers); tools 5 (the typical server has 7); tools that change things 20% (typical: 0%. Fewer write tools means less an agent can break). Full comparison.