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jimmyracheta

ai-runtime-guard

by jimmyracheta
OverviewSchemaRelated ServersScoreDiscussions
Python
Local

Server Configuration

Describes the environment variables required to run the server.

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

Capabilities

Features and capabilities supported by this server

CapabilityDetails
tools
{
  "listChanged": false
}
prompts
{
  "listChanged": false
}
resources
{
  "subscribe": false,
  "listChanged": false
}
experimental
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
server_infoA

Return runtime identity details for this AIRG server instance.

Includes build id, active workspace root, and resolved base directory.

restore_backupB

Restore files from a recorded AIRG backup manifest.

Supports dry-run planning and token-gated apply mode when restore confirmation is required by policy.

execute_commandB

Execute a shell command after full AIRG policy and approval checks.

The command is evaluated against network/workspace containment, command-tier policy, Script Sentinel continuity checks, and optional confirmation gates before execution.

read_fileB

Read a text file from the workspace after path-policy enforcement.

write_fileC

Write full file content with policy checks, logging, and backup support.

edit_fileC

Apply targeted text replacements in an existing file with backups.

delete_fileB

Delete a single file after policy checks and optional pre-delete backup.

list_directoryC

List directory entries with metadata, honoring path and depth policy.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

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