mcpField
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superuser

superuser

Local
github.com/fitzyracing1Cloud & Infra3Updated 2d ago

About superuser

superuser is a permission-gated MCP agent for machine administration, shell operations, system checks, and allowlisted GitHub tasks. Risk-based approvals, command controls, audit logging, and optional Cisco AI Defense and Cisco Duo authorization govern its actions.

Key features

  1. 01Run shell commands with risk controls
  2. 02Inspect host, disk, and process status
  3. 03Access allowlisted GitHub repositories
  4. 04Require human approval for risky actions
  5. 05Record actions in an append-only audit log
  6. 06Inspect tool calls and responses with Cisco AI Defense

Use cases

  1. 01Check machine health and resource usage
  2. 02Run an approved administrative command
  3. 03Review issues in an allowlisted GitHub repository
  4. 04Audit agent actions and approval outcomes

MCP support

It runs as an MCP server over stdio and exposes system, shell, GitHub, and security-status tools. A central guard applies approvals and configured authorization and inspection controls to tool calls.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
"mcpServers": {
"fitzyracing1-superuser": {
"command": "uvx",
"args": [
"superuser"
],
"env": {
"SUPERUSER_HUMAN_OWNER": "<SUPERUSER_HUMAN_OWNER>",
"SUPERUSER_APPROVAL_AT": "<SUPERUSER_APPROVAL_AT>",
"AI_DEFENSE_INSPECTION_API_KEY": "<AI_DEFENSE_INSPECTION_API_KEY>",
"DUO_TOKEN_URL": "<DUO_TOKEN_URL>",
"DUO_CLIENT_ID": "<DUO_CLIENT_ID>",
"DUO_CLIENT_SECRET": "<DUO_CLIENT_SECRET>",
"STRIPE_API_KEY": "<STRIPE_API_KEY>"
}
}
}
}
Run commanduvx superuser
Environment variables to set
SUPERUSER_HUMAN_OWNERHuman accountable for the agent's actions (recorded in every audit entry).
SUPERUSER_APPROVAL_ATMinimum risk level that triggers the human-approval gate: LOW, MEDIUM, HIGH, or CRITICAL.
AI_DEFENSE_INSPECTION_API_KEYSecretCisco AI Defense Inspection API key for runtime tool-call/response inspection.
DUO_TOKEN_URLSecretCisco Duo OAuth 2.1 token endpoint (client-credentials) for per-tool-call authorization.
DUO_CLIENT_IDCisco Duo OAuth client ID for the agent's non-human identity.
DUO_CLIENT_SECRETSecretCisco Duo OAuth client secret.
STRIPE_API_KEYSecretStripe secret API key for usage-based (metered) billing.

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
pypisuperuser0.1.0

Tools

8

Saved tool list · updated 5d ago

This tool takes no parameters.

Details

From the project README

Super

A permission-gated superuser agent exposed over the Model Context Protocol (MCP). It gives an AI agent real system-administration powers on this machine — running shell commands, checking system state, and acting on GitHub — while wrapping every action in guardrails: a dangerous-command denylist, a human-approval gate for risky operations, least-privilege GitHub access, an append-only audit log, and Cisco AI Defense runtime inspection of every tool call and response.

The design goal is the version of a "superuser agent" you can actually ship: powerful, but safe, auditable, and compatible with enterprise guardrails.

Landing site: https://fitzyracing1.github.io/super-landing/ (source: fitzyracing1/super-landing). The previous Pages site in this repo is preserved at tag site-v1 / branch site-archive.

Why it's built this way

An agent that can do anything as root is a liability, not a product. Buyers (and marketplace security reviews) expect scoping, approvals, and an audit trail. So capabilities here always pass through a single choke point — the Guard — which enforces, in order:

  1. Cisco AI Defense inspects the tool call (can block).
  2. Cisco Duo Agentic Identity authorizes the tool call per-policy (can block).
  3. Approval gate — anything at or above approval_required_at (default MEDIUM) needs an explicit confirm=true from a human.
  4. The operation runs.
  5. Cisco AI Defense inspects the response before it is returned (catches data leakage).
  6. Stripe meters the successful call (best-effort; never blocks).
  7. The outcome is written to the audit log as human owner -> agent -> tool -> action -> outcome.

This mirrors the enterprise model: your app owns scoping + approvals + local audit; Cisco AI Defense provides runtime threat inspection at the MCP layer; Cisco Duo Agentic Identity provides per-tool-call authorization tied to an accountable human owner; and Stripe turns metered tool calls into revenue.

Cisco Duo Agentic Identity (authorization)

Duo follows a "Duo decides, the gateway enforces" model. This agent registers as a non-human identity, authenticates via the OAuth 2.1 client-credentials grant (with an RFC 8707 resource indicator), and authorizes every tool call either by matching the tool's required scope against what Duo granted, or by calling an explicit Duo decision endpoint. Set DUO_ENABLED=true plus DUO_TOKEN_URL / DUO_CLIENT_ID / DUO_CLIENT_SECRET (see .env.example). When Duo is not configured, calls are allowed but flagged governed: false; in enforce mode authorization errors fail closed.

Stripe usage-based billing (monetization)

Each authorized, successful tool call emits a Stripe meter event (v2 billing meter events API), so the agent can be sold per-action. Configure a meter in Stripe, then set STRIPE_ENABLED=true, STRIPE_API_KEY, STRIPE_CUSTOMER_ID, and STRIPE_METER_EVENT_NAME. Per-tool weights let higher-risk actions cost more. Billing is best-effort: metering failures are logged and never block or fail the tool call (results are annotated billed: true|false).

Tools

ToolRiskNotes
system_statusLOWHost, CPU, memory, uptime
disk_usageLOWPer-partition disk usage
list_processesLOWTop processes by memory/cpu
run_commandHIGH*Shell command; denylist + approval + audit
github_get_repoLOWRepo metadata (allowlisted repos only)
github_list_issuesLOWIssues for an allowlisted repo
github_create_issue_commentHIGHWrite; needs approval + GITHUB_ALLOW_WRITES
security_status—Reports the active guardrail configuration

* run_command is LOW risk only when its base command is in command_allowlist; otherwise HIGH (requires confirm=true).

Install

Not yet on PyPI. Install straight from git:

pip install "superuser @ git+https://github.com/fitzyracing1/Super.git"
pip install "superuser[all] @ git+https://github.com/fitzyracing1/Super.git"   # + Cisco AI Defense + Stripe SDKs

From a clone:

Requires Python 3.10+.

pip install -e .              # core agent (Duo authz uses requests; no extra dep)
pip install -e '.[security]'  # + Cisco AI Defense SDK (cisco-aidefense-sdk)
pip install -e '.[billing]'   # + Stripe SDK (usage-based billing)
pip install -e '.[all]'       # security + billing
pip install -e '.[dev]'       # + pytest / ruff

Configure

Copy .env.example to .env (or use a YAML file — see superuser.example.yaml) and set values. Key settings:

  • SUPERUSER_HUMAN_OWNER — the human accountable for the agent's actions.
  • SUPERUSER_APPROVAL_AT — risk threshold for the approval gate (LOW…CRITICAL).
  • AI_DEFENSE_* — Cisco AI Defense credentials/mode (see below).
  • DUO_* — Cisco Duo Agentic Identity authorization (see below).
  • STRIPE_* — Stripe usage-based billing (see below).
  • GITHUB_TOKEN, GITHUB_ALLOWED_REPOS, GITHUB_ALLOW_WRITES — least-privilege GitHub.

For a full console-value → env-var mapping for all three services, see docs/INTEGRATIONS.md.

Cisco AI Defense

Install the SDK (pip install 'superuser[security]') and provide credentials:

  • Explicit inspection of this server's own tool calls/responses: set AI_DEFENSE_INSPECTION_API_KEY.
  • Runtime protection (agentsec.protect() auto-patches LLM + MCP clients): set AI_DEFENSE_API_MODE_LLM_ENDPOINT + AI_DEFENSE_API_MODE_LLM_API_KEY, or point AI_DEFENSE_AGENTSEC_CONFIG at an agentsec.yaml (see agentsec.example.yaml).
  • AI_DEFENSE_MODE: enforce (block), monitor (log only), or off.

If the SDK is not installed or no credentials are set, the agent still runs but every result is annotated protected: false / UNPROTECTED — the gap is never silent. In enforce mode, inspection errors fail closed (the call is blocked); in monitor mode they fail open (logged, allowed).

Environment variables

AreaVariables
CoreSUPERUSER_CONFIG, SUPERUSER_HUMAN_OWNER, SUPERUSER_APPROVAL_AT, SUPERUSER_COMMAND_TIMEOUT, SUPERUSER_AUDIT_LOG
Cisco AI DefenseAI_DEFENSE_ENABLED (default true; set false for local dev), AI_DEFENSE_MODE, AI_DEFENSE_INSPECTION_API_KEY, AI_DEFENSE_API_MODE_LLM_ENDPOINT, AI_DEFENSE_API_MODE_LLM_API_KEY, AI_DEFENSE_AGENTSEC_CONFIG
Cisco DuoDUO_ENABLED, DUO_MODE, DUO_AGENT_ID, DUO_TOKEN_URL, DUO_CLIENT_ID, DUO_CLIENT_SECRET, DUO_AUTHORIZATION_URL, DUO_RESOURCE, DUO_SCOPES
StripeSTRIPE_ENABLED, STRIPE_API_KEY, STRIPE_CUSTOMER_ID, STRIPE_METER_EVENT_NAME, STRIPE_DEFAULT_VALUE
GitHubGITHUB_TOKEN, GITHUB_ALLOWED_REPOS, GITHUB_ALLOW_WRITES, GITHUB_API_URL

With no keys set the server still runs: Duo and Stripe are off by default, and Cisco AI Defense runs unprotected (clearly flagged) if the SDK/keys are missing.

Run

# Validate configuration and print guardrail/Cisco status, then exit:
superuser --check

# Start the MCP server (stdio transport, for MCP clients like Cursor/Claude):
superuser
# or: python -m superuser
Register with an MCP client

Example client config (stdio):

{
  "mcpServers": {
    "superuser": {
      "command": "superuser",
      "env": {
        "SUPERUSER_HUMAN_OWNER": "[email protected]",
        "AI_DEFENSE_MODE": "enforce",
        "AI_DEFENSE_INSPECTION_API_KEY": "..."
      }
    }
  }
}

Test

pytest

Security notes

  • The dangerous-command denylist is a backstop, not the primary control. The primary controls are Cisco AI Defense inspection and the approval gate.
  • GitHub access fails closed: no token or an empty repo allowlist means no access. Use a fine-grained, least-privilege token.
  • Secrets are redacted in the audit log. Keep .env / *.yaml config files out of version control (already in .gitignore).

License

Apache-2.0.

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