Skip to main content
Glama
deeneskozh
Acacian

aegis

by Acacian
OverviewSchemaRelated ServersScoreDiscussions
Python
Hybrid

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault

No arguments

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
evaluate_actionB

Evaluate an AI agent action against the current governance policy.

    Returns a decision: auto (allow), approve (needs human review), or block (deny).

    Args:
        action_type: The kind of operation (e.g. "read_file", "send_email", "delete").
        target: The system being acted upon (e.g. "filesystem", "stripe", "database").
        params: Arbitrary parameters for the operation.
        description: Optional human-readable description.
        agent_id: Optional identifier for the agent performing the action.
evaluate_batchB

Evaluate multiple actions at once against the governance policy.

    Each action dict should have: action_type, target,
    and optionally params, description, agent_id.

    Args:
        actions: List of action dicts to evaluate.
get_policyA

Get the current governance policy rules.

Returns all configured rules with their action patterns, targets, risk levels, and approval requirements.

update_policyA

Hot-reload the governance policy from a YAML string.

    The new policy takes effect immediately for all subsequent evaluations.

    Args:
        yaml_content: YAML string containing the policy rules.
check_riskA

Quick risk check for an action type + target combination.

    Returns just the risk level and approval requirement — lighter than evaluate_action.

    Args:
        action_type: The kind of operation.
        target: The system being acted upon.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/Acacian/aegis'

If you have feedback or need assistance with the MCP directory API, please join our Discord server