Overview
The Wiz Model Context Protocol (MCP) Server elevates the impact of Wiz's security offerings by providing a unified security data source, enhanced cloud visibility, and contextual intelligence. The MCP Server connects multiple security data sources through a central host and server setup, creating a single, contextual view of the security posture to simplify investigations and accelerate incident response and remediation. It offers instant access to cloud inventory, configurations, and security issues via a single host with a simple prompt. By enriching security investigations with precise business context, the MCP Server allows security teams to prioritize responses based on relevance, drastically improving the accuracy and effectiveness of threat mitigation. The Wiz MCP Server enhances Wiz Code by translating plain-language queries into powerful workflows, streamlining everything from issue discovery to pull request creation. Integrated with Wiz Defend, the MCP Server helps security teams identify and contain active threats faster with AI generated insights and action paths.
Highlights
- Unified security data source for cloud security posture.
- Completed visibility into cloud inventory, configurations, and security issues
- Contextual intelligence that enriches security investigations with context, enabling security teams to prioritize responses to critical threats.
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v0.1.1s
- Amazon Bedrock AgentCore
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Version release notes
We are excited to share that the Wiz Model Context Protocol (MCP) Server is now available in the new AWS Marketplace AI Agents and Tools category.
The Wiz Model Context Protocol (MCP) Server is an innovative implementation that enables any MCP-compatible, LLM-powered application to interact with Wiz using plain language. It unifies diverse security data sources into a single, contextual view of your cloud security posture. This empowers teams to gain instant access to cloud inventory, configurations, and security issues, facilitating real-time cloud investigations, blast radius assessments, and AI-driven remediation actions through natural language prompts.
Additional details
Usage instructions
To allow the Wiz Model Context Protocol (MCP) Server to access your Wiz tenant, you need to configure specific environment variables.
Steps to Configure Wiz MCP Integration:
Navigate to Integrations in Wiz:
1. In the Wiz console, go to the Connect to Wiz > Integrations page. 2. Under the "Security Data Management" section, choose Wiz MCP. 3. On the "New Wiz MCP Integration" page: Enter a Display Name. Keep the default API scopes (Recommended). Click Add Integration. 4. After creation, copy the generated Client ID and Client Secret. These are crucial for authentication.Set Environment Variables:
Add the Client ID and Client Secret using the --environment-variables flag in your deployment command.
--environment-variables '{ "WIZ_CLIENT_ID":"your_client_id", "WIZ_CLIENT_SECRET":"your_client_secret" }'
2. Using GUI for Host Agent Deployment:If you are deploying via AWS Console GUI, 1) Click "Use on Amazon Bedrock AgentCore" 2) Click "Host Agent" add these variables under the "Advanced configurations" section.
For more detailed instructions and customer-specific access, please refer to the official documentation at https://docs.wiz.io/docs/set-up-wiz-mcp-server (Wiz customer access only).
AWS command line examples:
- Create an agent/MCP server This command creates a new agent runtime for the Wiz MCP server. Ensure you replace placeholders like 'your AmazonBedrockAgentCoreRuntimeDefaultServiceRole arn', '{your wiz client id}', and '{your wiz client secret}' with your actual values.
aws bedrock-agentcore-control create-agent-runtime --region us-east-1
--agent-runtime-name "wiz-mcp-server-stateless"
--description "Wiz MCP server"
--agent-runtime-artifact '{
"containerConfiguration": {
"containerUri": "709825985650.dkr.ecr.us-east-1.amazonaws.com/wiz/wiz-mcp:v0.1.1-stateless"
}
}'
--role-arn "your AmazonBedrockAgentCoreRuntimeDefaultServiceRole arn"
--network-configuration '{ "networkMode": "PUBLIC" }'
--protocol-configuration '{ "serverProtocol": "MCP" }'
--environment-variables '{
"WIZ_CLIENT_ID": "{your wiz client id}",
"WIZ_CLIENT_SECRET": "{your wiz client secret}",
"Wiz_MCP_TRANSPORT": "http",
"Wiz_MCP_PORT": "8000",
"Wiz_MCP_HOST": "0.0.0.0"
}'
- List Agent Runtime Use this command to retrieve details about the created agent runtime. Replace '{your agentRuntimeId in the output of create command}' with the actual ID from the previous step.
aws bedrock-agentcore-control get-agent-runtime
--agent-runtime-id {your agentRuntimeId in the output of create command}
--region us-east-1
- List Agent Runtime Endpoints This command lists the endpoints associated with your agent runtime. Replace '{your agentRuntimeId in the output of create command}' with the actual ID.
aws bedrock-agentcore-control list-agent-runtime-endpoints
--agent-runtime-id {your agentRuntimeId in the output of create command}
--region us-east-1
- Invoke Agent Runtime This command invokes the agent runtime to perform an action, e.g., listing tools. Replace '{your agentRuntimeArn in the output of create command}' with the actual ARN.
PAYLOAD_JSON='{"jsonrpc": "2.0", "id": 1, "method": "tools/list", "params": { "_meta": { "progressToken": 1}}}' PAYLOAD_BASE64=$(echo -n "$PAYLOAD_JSON" | base64) AGENT_ARN={your agentRuntimeArn in the output of create command}
aws bedrock-agentcore invoke-agent-runtime
--agent-runtime-arn "${AGENT_ARN}"
--payload="${PAYLOAD_BASE64}"
--content-type "application/json"
--accept "application/json, text/event-stream"
--qualifier "DEFAULT"
"output.json"
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Customer reviews
One of the Best CSPM Tools with Highly Granular Findings
From Noise to Real Risk with Wiz
Another thing I really appreciate is the overall depth of the platform without it feeling too heavy to use. Features like data security insights, contextual vulnerability details, and built‑in remediation guidance are genuinely useful.
The Advanced license adds a lot of value, and the Outpost setup is important for us because it allows sensitive data processing to stay within our environment while Wiz mainly works on metadata. On top of that, the support from our TAM has been excellent, very responsive and hands‑on, especially during onboarding and tuning phases.
Since the platform evolves quickly, some features are still maturing and from time to time that can lead to minor instability or changes in behavior that require adjustment. Also, because it provides so much visibility, it can feel a bit overwhelming at first until you fine‑tune filtering and prioritisation. That said, once everything is properly set up, it becomes much easier to manage and the value is very clear.
It’s also very useful for improving collaboration between security and engineering teams. Findings can be scoped, contextualized, and shared in a way that makes remediation more practical and easier to track. In addition, the platform helps with ongoing posture management and compliance by providing continuous visibility, which makes it easier to identify gaps early and avoid reactive work.
Concise, Precise Risk Detection with Automated Triage Agents
Wiz Delivers Instant Agentless Visibility and Actionable Security Graphs
The graph is the part I'd actually recommend it for. Instead of a flat list of CVEs, it correlates misconfigurations, exposure, secrets and identity permissions into real attack paths, so you can see the toxic combinations that genuinely matter rather than chasing thousands of low-priority findings. That prioritisation has been the single biggest win — it tells us what to fix first and why, and an analyst that might have spent days hunting a toxic combination now gets it surfaced in hours.
It fits how we work too. The Terraform and CI/CD integration catches secrets and misconfigurations before they ship, and being able to write scoped ignore rules for findings we've already accepted keeps the dashboard clean without losing visibility around them. On the AI side, Mika is genuinely handy — it answers security questions in plain language and can write graph queries for you — and the newer agents have noticeably cut time-to-remediation on some issues.
It's become the tool I check when I want to know whether our cloud is actually in good shape, and it answers in a way I can act on.