---
title: "Wiz MCP"
description: "Reference for the Tracecat Wiz MCP integration: registered actions, required secrets, expected inputs, and example workflow usage."
---

{/* Auto-generated by scripts/generate_tool_docs.py; do not edit by hand. */}
## Wiz MCP

Action ID: `tools.wiz.mcp`

Use AI to interact with Wiz.

Reference: [https://www.wiz.io/blog/introducing-mcp-server-for-wiz](https://www.wiz.io/blog/introducing-mcp-server-for-wiz)

### Secrets

Required secrets:

- `wiz_mcp_oauth`: OAuth token `WIZ_MCP_USER_TOKEN`.

Optional secrets:

- `anthropic`: optional values `ANTHROPIC_API_KEY`.
- `openai`: optional values `OPENAI_API_KEY`.
- `gemini`: optional values `GEMINI_API_KEY`.
- `amazon_bedrock`: optional values `AWS_ACCESS_KEY_ID`, `AWS_SECRET_ACCESS_KEY`, `AWS_REGION`, `AWS_ROLE_ARN`, `AWS_ROLE_SESSION_NAME`, `AWS_SESSION_TOKEN`, `AWS_BEARER_TOKEN_BEDROCK`, `AWS_MODEL_ID`, `AWS_INFERENCE_PROFILE_ID`.
- `custom-model-provider`: optional values `CUSTOM_MODEL_PROVIDER_API_KEY`, `CUSTOM_MODEL_PROVIDER_MODEL_NAME`, `CUSTOM_MODEL_PROVIDER_BASE_URL`.
- `azure_openai`: optional values `AZURE_API_BASE`, `AZURE_API_VERSION`, `AZURE_DEPLOYMENT_NAME`, `AZURE_API_KEY`, `AZURE_AD_TOKEN`, `AZURE_TENANT_ID`, `AZURE_CLIENT_ID`, `AZURE_CLIENT_SECRET`.
- `azure_ai`: optional values `AZURE_API_BASE`, `AZURE_API_KEY`, `AZURE_AD_TOKEN`, `AZURE_TENANT_ID`, `AZURE_CLIENT_ID`, `AZURE_CLIENT_SECRET`, `AZURE_API_VERSION`, `AZURE_AI_MODEL_NAME`.
- `litellm`: required values `LITELLM_BASE_URL`.

### Input fields

<ParamField path="instructions" type="string" required>

Instructions for the agent.

</ParamField>

<ParamField path="model" type="ModelSelection" required>

Model to use. Pick from the list of models enabled for this workspace.

</ParamField>

<ParamField path="user_prompt" type="string" required>

User prompt to the agent.

</ParamField>
