Version: 0.1.0
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.
- 100% Action-Routed MCP Tools — one consolidated tool per domain (e.g.
ciso_assistant_compliance,ciso_assistant_risk_management,ciso_assistant_incidents) takes anactionplus aparams_jsonpayload 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) viaagent-utilities. - Resilient — honours
429Retry-After, retries transient5xx, and transparently follows DRFnextpagination links.
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).
| 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). |
export CISO_ASSISTANT_URL="https://ciso.arpa"
export CISO_ASSISTANT_TOKEN="your_token"
ciso-assistant-mcp --transport "stdio"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"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).
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 -t ciso-assistant-api .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:latestservices:
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{
"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"
}
}
}
}python -m pip install ciso-assistant-apiuv pip install ciso-assistant-apiThe 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 |