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  3. AI Runtime Guard
AI Runtime Guard logo
Health: ActiveRecent health check succeeded.Last checked 9/9/2026, 7:16:49 PM

AI Runtime Guard

User RatingsBe the first to rate and review this MCP server!
View Repository15 GitHub StarsTotal stargazers on GitHub for the source repository (15 stars).Visit Website
securitypolicy-enforcementfilesystemshellmcp

Enforces runtime policies on AI agents' file and shell actions to prevent destructive commands and unauthorized access.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent โ€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag โ€” we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON โ–พ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "jimmyracheta-ai-runtime-guard": {
      "command": "uvx",
      "args": [
        "ai-runtime-guard"
      ]
    }
  }
}

๐Ÿ’ก Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing Alternatives๐Ÿ”’ More in Security

Overview

This server acts as a policy enforcement layer between AI agents and the host system, intercepting file and shell operations to block destructive commands, require human approval for risky actions, and automatically back up files before modification. It supports per-agent policies, workspace boundaries, and configurable network rules. Use it to safely run AI agents with filesystem and shell access while minimizing accidental damage and unauthorized operations.

Use cases

โ€ขBlock destructive shell commands before execution
โ€ขRequire human approval for risky agent actions
โ€ขAutomatically back up files before overwrite or deletion
โ€ขEnforce workspace and path boundaries for agents
โ€ขLog and report agent activity for auditing

Key features

โ€ขPolicy enforcement on every file and shell action
โ€ขDestructive command blocking and backup-before-write
โ€ขHuman approval gating via local GUI or API
โ€ขPer-agent and workspace-scoped policy overlays
โ€ขConfigurable network allowlists and denylists
โ€ขActivity logging and dashboard reporting

Capabilities & Tool Schemas

Inspect callable tools, capabilities, and parameters exposed to AI agents by AI Runtime Guard.

Extracted Tool Capabilities
Policy enforcement on every file and shell action
Destructive command blocking and backup-before-write
Human approval gating via local GUI or API
Per-agent and workspace-scoped policy overlays
Configurable network allowlists and denylists
Activity logging and dashboard reporting

Documentation Overview

ai-runtime-guard

Your agent can say anything. It can only do what policy allows.

AI agents with filesystem and shell access can delete files, leak credentials, or execute destructive commands, often without the user realizing until it is too late.

Runtime Guard sits between your AI agent and your system, enforcing policy on every file and shell action before it executes. Install once, configure your rules, and your agent operates within the boundaries you set. Works with Claude Code, Claude Desktop, Cursor, Codex, and any MCP-compatible client. No retraining, no prompt engineering, no external account required.

runtime-guard MCP server

See it in action

Code
agent -> execute_command("rm -rf /tmp/build")
โœ— BLOCKED  destructive command pattern: rm -rf
  matched_rule: destructive_command | decision: blocked

agent -> execute_command("git push --force")
โธ APPROVAL REQUIRED  awaiting operator
  token: a4f2b9 | expires: 10min | check GUI to approve

agent -> write_file("README.md", ...)
โœ“ ALLOWED  backup created before write
  backup_location: ~/.local/state/airg/backups/2026-03-18

Quick start

Code
pipx install ai-runtime-guard
pipx ensurepath          # if airg* commands are not found
# open a new terminal
airg-setup
airg-doctor

After setup, open http://127.0.0.1:5001 and add your first agent from Settings -> Agents.

Alternative install methods (venv, source, CI)

Alternative quick start (venv):

  1. python3 -m venv .venv-airg && source .venv-airg/bin/activate
  2. python -m pip install --upgrade pip
  3. python -m pip install ai-runtime-guard
  4. airg-setup (guided, recommended: select/create workspace during setup; includes telemetry opt-in prompt, default Yes)
  5. airg-doctor
  6. Open GUI Settings -> Agents, add agents manually, and apply MCP config/hardening from there.

Source-clone path:

  1. git clone --branch main https://github.com/runtimeguard/runtime-guard.git
  2. cd runtime-guard
  3. python3 -m venv .venv-airg && source .venv-airg/bin/activate
  4. python -m pip install --upgrade pip
  5. python -m pip install .
  6. airg-setup
  7. airg-doctor

Unattended automation-only setup (CI/non-interactive):

  1. airg-setup --defaults --yes --workspace /absolute/path/to/workspace

See docs/INSTALL.md for the full install reference.

What it does

Prevention

  • Blocks destructive commands (rm -rf, privilege escalation, sensitive file access) before they run
  • Auto-backs up any file before destructive or overwrite operations

Control

  • Gates risky commands behind explicit human approval via local GUI or API
  • Enforces workspace and path boundaries keyed to AIRG_WORKSPACE
  • Supports per-agent policy overlays keyed to AIRG_AGENT_ID
  • Configurable network policy with allowlists, denylists, and monitor/enforce modes

Visibility

  • Logs every allowed, blocked, and pending action to activity.log
  • Indexes events into reports.db for a dashboard view of agent behavior

Hardening

  • Script Sentinel: detects attempts to launder blocked commands through scripts
  • Universal agent hardening: GUI-driven posture enforcement including hooks, sandboxing, and native tool restrictions (support varies by client)

Why MCP

Runtime Guard is built as an MCP server because MCP provides the interception point you need. When your agent issues a tool call, Runtime Guard evaluates it against policy before execution. For clients that support pre-tool hooks (like Claude Code), AIRG can also deny the agent's native file and shell tools, forcing risky operations through the policy layer.

This approach is the closest to kernel-level enforcement without requiring system privileges or modifying your agent, and it works across any MCP-compatible client without per-agent engineering.

Who it is for

Developers and operators running AI agents who want deterministic guardrails on what an agent can actually do to their system, without giving up agent autonomy or rewriting their workflow.

Supported platforms and clients

PlatformClients
macOSClaude Code, Claude Desktop, Cursor, Codex
LinuxClaude Code, Claude Desktop, Cursor, Codex

Enforcement depth varies by client. MCP policy enforcement is universal; hook-based native tool restriction and sandboxing depend on what each client exposes.

For Codex, AIRG supports both user-scope (~/.codex/) and project-scope (<workspace>/.codex/) artifacts. Project-scope enforcement requires the workspace to be trusted in the user-layer ~/.codex/config.toml before Codex will load the project .codex/ files. AIRG writes Codex tool approval stanzas only in the project-scoped .codex/config.toml.

Scope and boundaries

What AIRG is designed for: reducing accidental damage from agent mistakes, hallucinated commands, and policy-evasion patterns.

What AIRG is not: a full malicious-actor containment platform.

Known enforcement boundary:

  • AIRG enforces policy only on actions routed through AIRG MCP tools
  • Native client tools outside MCP (e.g. Claude Code's built-in Bash, Glob, Read, Write, Edit) bypass AIRG unless the client is configured to restrict them
  • For strict enforcement, use Settings -> Agents in the GUI to apply hook-based native tool restrictions where supported

Configuration essentials

AIRG_WORKSPACE

The default project root for guarded agent operations. execute_command runs from this directory, file tools evaluate path policy relative to this root, and traversal outside the root is blocked. Multiple workspaces are supported. Each agent profile should set workspace explicitly in its MCP config.

AIRG_AGENT_ID

The runtime identity key used for activity and report attribution, per-agent policy override resolution, and posture state in Settings -> Agents.

Web GUI

AIRG includes a local web control plane at http://127.0.0.1:5001 for policy editing, approvals, agent profile management, reports, and telemetry control.

Service commands:

Code
airg-service install --workspace /absolute/path/to/airg-workspace
airg-service start | status | stop | restart | uninstall

Telemetry

AIRG supports optional anonymous telemetry to help prioritize improvements. It is opt-in during setup (default: Yes) and can be toggled any time from Policy -> Advanced -> Anonymous telemetry.

  • No command text, file contents, paths, prompts, usernames, or machine identifiers are collected
  • One aggregate payload per UTC day
  • Payload preview available in the GUI before enabling
  • Full details in docs/telemetry.md

More

  • Full documentation
  • Install reference
  • Changelog
  • Contributing
  • Security policy

Read the full README โ†’View source on GitHub โ†’

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks โ€” not a rating.

GitHub stars
15
Stargazers on the source repository.
Last commit
3mo ago
Most recent push to the default branch.
Directory activity
1 views
Config copies, upvotes, and views on AllMCPs.

Reviews

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Frequently Asked Questions about AI Runtime Guard

It supports Claude Code, Claude Desktop, Cursor, Codex, and any MCP-compatible client.

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Technical Specs & Signals

Category๐Ÿ”’Security
PricingFree
More technical detailsExpand โ–พ
TransportSTDIO
RuntimePython
AuthNo auth required
LicenseMIT
ClientsClaude Desktop, Cursor, Cline / VS Code
Last updatedAug 9, 2026
11/11 checks healthy over the last 33d
Views1
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars15
GitHub Star CountTotal stargazers on GitHub representing community popularity (15 stars).
Last commit3mo ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on May 31, 2026
48Quality signal: Fair ยท 48/100How this signal is calculated โ–พ
Server availabilityNot measured

Not scored for repo-hosted servers โ€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools23/30
Adoption & activity3/15
Community engagement0/10

A guidance signal from public completeness & health data โ€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 27d ago via OSV.dev ยท ai-runtime-guard (PyPI)

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