CISO Assistant MCP Server

CISO Assistant MCP Server

MCP server providing 100% coverage of the CISO Assistant GRC REST API through action-routed tools for compliance, risk management, and other security domains.

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CISO Assistant - A2A | AG-UI | MCP

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Version: 0.1.0

Overview

CISO Assistant is a production-grade Python API client, Model Context Protocol (MCP) server, and A2A agent for CISO Assistant, intuitem's open-source GRC platform for Risk Management, AppSec, Compliance & Audit, TPRM, BIA, Privacy, and Reporting.

It provides 100% coverage of the CISO Assistant REST API — every one of the ~1,565 operations in the drf-spectacular schema is exposed as both a typed client method and an action-routed MCP tool. The client, MCP tools, and a machine-readable coverage manifest are all generated from the vendored OpenAPI spec (ciso_assistant_api/specs/ciso_assistant.json) by scripts/generate_from_openapi.py, and a coverage test asserts the three sets stay in lock-step.

Key Features

  • 100% Action-Routed MCP Tools — one consolidated tool per domain (e.g. ciso_assistant_compliance, ciso_assistant_risk_management, ciso_assistant_incidents) takes an action plus a params_json payload and routes to the underlying API method. 19 domain tools (mirroring the published documentation categories) cover every endpoint without flooding the IDE tool list.
  • Full CISO Assistant surface — Analytics & Metrology, Assets, Authentication & Users, Compliance, EBIOS-RM, Evidence & Attachments, Frameworks & Libraries, Governance, Incidents, Integrations, Privacy, Quantitative Risk (CRQ), Resilience, Risk Management, Security Exceptions & Findings, Settings, Tasks & Timeline, and Third-Party Risk Management.
  • Knox token auth — a pre-minted Knox token or a username/password pair exchanged for a token at POST /api/iam/login/, plus OIDC delegation (RFC 8693) via agent-utilities.
  • Resilient — honours 429 Retry-After, retries transient 5xx, and transparently follows DRF next pagination links.

MCP

Using as an MCP Server

The MCP Server runs in stdio (local) or streamable-http (networked) mode. Each domain is a tool gated by a {TAG}TOOL environment variable (default True), so you can scope the surface (e.g. set CHATTOOL=False to drop the chat domain).

Environment Variables

Variable Description
CISO_ASSISTANT_URL Backend host URL, e.g. https://ciso.arpa or http://localhost:8000.
CISO_ASSISTANT_TOKEN Pre-minted Knox token.
CISO_ASSISTANT_USERNAME / CISO_ASSISTANT_PASSWORD Credentials exchanged for a token at POST /api/iam/login/.
CISO_ASSISTANT_SSL_VERIFY Verify TLS (default True).
<DOMAIN>TOOL Toggle a domain tool, e.g. INCIDENTSTOOL, COMPLIANCETOOL, RISK_MANAGEMENTTOOL (default True).

Run in stdio mode (default):

export CISO_ASSISTANT_URL="https://ciso.arpa"
export CISO_ASSISTANT_TOKEN="your_token"
ciso-assistant-mcp --transport "stdio"

Run in HTTP mode:

export CISO_ASSISTANT_URL="https://ciso.arpa"
export CISO_ASSISTANT_TOKEN="your_token"
ciso-assistant-mcp --transport "streamable-http" --host "0.0.0.0" --port "8000"

Tool Domains

analytics_metrology, assets, auth_users, chat, compliance, crq, ebios_rm, evidence, frameworks_libraries, governance, incidents, integrations, privacy, resilience, risk_management, security_findings, settings, tasks_timeline, third_party — plus custom_api (a raw REST escape hatch).

A2A Agent

Run A2A Server

export CISO_ASSISTANT_URL="https://ciso.arpa"
export CISO_ASSISTANT_TOKEN="your_token"
ciso-assistant-agent --provider openai --model-id gpt-4o --api-key sk-...

Docker

Build

docker build -t ciso-assistant-api .

Run MCP Server

docker run -d \
  --name ciso-assistant-api \
  -p 8000:8000 \
  -e TRANSPORT=http \
  -e CISO_ASSISTANT_URL="https://ciso.arpa" \
  -e CISO_ASSISTANT_TOKEN="your_token" \
  knucklessg1/ciso-assistant-api:latest

Deploy with Docker Compose

services:
  ciso-assistant-api:
    image: knucklessg1/ciso-assistant-api:latest
    environment:
      - HOST=0.0.0.0
      - PORT=8000
      - TRANSPORT=http
      - CISO_ASSISTANT_URL=https://ciso.arpa
      - CISO_ASSISTANT_TOKEN=your_token
    ports:
      - 8000:8000

Configure mcp.json for AI Integration (e.g. Claude Desktop)

{
  "mcpServers": {
    "ciso_assistant": {
      "command": "uv",
      "args": [
        "run",
        "--with",
        "ciso-assistant-api",
        "ciso-assistant-mcp"
      ],
      "env": {
        "CISO_ASSISTANT_URL": "https://ciso.arpa",
        "CISO_ASSISTANT_TOKEN": "your_token"
      }
    }
  }
}

Install Python Package

python -m pip install ciso-assistant-api
uv pip install ciso-assistant-api

Documentation

The complete documentation is published as the official documentation site and is the source of truth for installation, usage, and deployment.

Page Covers
Overview the action-routed tool surface and architecture
Installation pip, source, extras, prebuilt Docker image
Usage (API / CLI / MCP) the MCP tools, the Api client, the CLI
Deployment run the MCP and agent servers, Compose, env config

Repository Owners

<img width="100%" height="180em" src="https://github-readme-stats.vercel.app/api?username=Knucklessg1&show_icons=true&hide_border=true&&count_private=true&include_all_commits=true" />

GitHub followers GitHub User's stars

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