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Termada MCP server

by Islomzoda·io.github.Islomzoda/termada·v0.12.0·4 stars

Persistent, policy-controlled missions for AI agents operating local and SSH environments.

B80/100grade B
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Safety scan
B80/100

full report

Adoption
New

4 stars

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If you have run it, two minutes of your experience saves the next person an afternoon.

Termada tools

No tool declarations could be read from the package source. They show once the server is installed.

Public scan report

scanner v0.1.9 · 2026-09-24 · same rubric, same numbers if you re-run it

no findings
  • –Code scanpackage could not be scannedn/a
  • –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 56 days ago12/15
  • Maintainer identityregistry namespace matches repository owner; GitHub account older than a year8/10
Overall 80/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How Termada 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
GitHub stars
4
more than 82% of 28,688 servers

Install Termada in Claude Code, Cursor or VS Code

claude mcp add termada -- docker run -i --rm ghcr.io/islomzoda/termada:0.12.0
Add to Cursor

What the publisher says

From the Termada repository's README, as published. We do not edit it. Read it on GitHub

Termada

Persistent, policy-controlled missions for AI agents operating real environments.

Termada is a single-binary, local-first runtime that sits between an AI agent and the terminal, locally or over SSH. The agent talks to it over the Model Context Protocol and gets a sturdy toolset instead of a raw shell: bounded execrun waits, persistent sessions that keep cwd/env, async jobs with streamed output, PTY input for interactive prompts, and structured results — while you watch and control active jobs from a live dashboard with a job kill-switch and an approval queue. Mission Control** adds a durable goal, GPT/Codex-authored plan, runtime-verified steps, interruption recovery, and an exportable evidence report around that execution.

The live dashboard: every session is a real terminal you can watch and take over — block or pause the agent, type in yourself — beside the agent panel, policy management, a tamper-evident History, and a Stop-All active-job kill-switch.

Why

Handing an AI agent a raw shell is fragile and opaque: a command blocks on a prompt and the agent hangs; cd and exported env vanish between calls; long builds flood the context window; and you can't see — let alone stop — what's running. Termada replaces the raw shell with a runtime that is reliable for the agent and transparent for you:

and return structured output; sessions persist cwd/env; long jobs run async and stream incrementally instead of dumping; interactive prompts are answerable.

  • Reliable for the agent — blocking exec_run calls use bounded wait budgets

a real terminal; controlled actions matched by confirm wait for your approval; one button installs a short-lived action admission barrier, requests cancellation of active gateway executions, signals active engine jobs and closes forwards; remote/provider effects still require terminal verification or reconciliation.

  • Transparent for you — one dashboard shows every agent and every session as

decisions, verification jobs, outcome, and audit anchors stay together. A plan step cannot pass without a real mission job that Termada observed exiting with code zero.

  • Accountable as a mission — an agent's plan, real commands, approval

Mission Control

For a concrete operational outcome, Codex or another MCP agent starts with missioncreate(goal, plan). Termada allocates a dedicated persistent session; normal exec calls keep using the same policy, approval, PTY/SSH and audit paths. The agent attaches each successful jobid with missionupdate, then exports mission_report.

The report separates runtime-observed evidence from agent notes, includes exact audit sequence/hash anchors, and returns a SHA-256 recorded in the audit. If the daemon restarts, a non-terminal mission becomes interrupted; mission_resume creates a fresh session attempt instead of pretending PTY state survived.

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

Termada: common questions

Is Termada MCP server safe?
Mostly: it is graded B (80/100). Read the Termada safety report
How do I install Termada?
It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does Termada need an API key?
Not as far as the registry entry and our scan can tell: no credentials are declared or required.
Is Termada maintained?
The last commit was 97 days ago (2026-07-30). The latest release is v0.12.0.
What can I use instead of Termada?
Servers from other publishers that do the same job: SSH — policy-gated remote access MCP server.
How does Termada compare with other MCP servers?
safety score 80/100 (higher than 60% of 48,255 servers); github stars 4 (more than 82% of 28,688 servers). Full comparison.

Alternatives to Termada

Same job from other publishers: the closest match first, then the best rated.