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
Actionable, Risk-Based Cloud Visibility with Strong Prioritization and AI Insights
The most valuable aspect is the contextual risk prioritization. Rather than managing large volumes of findings, Wiz helps us focus on the exposures that matter most and drive remediation where it has the greatest impact.
The platform is intuitive, scales well, and provides strong executive-level visibility into cloud risk. We've also found the AI capabilities helpful in accelerating investigations and understanding complex attack paths and security findings.
As our cloud environment continues to evolve, I would also welcome continued investment in AI-driven recommendations and automation to further reduce investigation and remediation effort. These are relatively minor considerations, however, compared to the overall value the platform delivers.
Before Wiz, it was more difficult to correlate vulnerabilities, misconfigurations, exposed assets, and identity risks to understand which issues required immediate attention. Wiz provides the context needed to prioritize remediation based on actual risk, improving collaboration between security and engineering teams and allowing us to focus resources where they have the greatest impact.
From a business perspective, this has improved our ability to manage cloud risk at scale, strengthen our security posture, and provide leadership with better visibility into our overall risk landscape. The result is a more efficient and risk-informed approach to cloud security without slowing down innovation.
Wiz Leads Cloud Security with Powerful Insights and an Intuitive UI
Unified, Agentless Cloud Security Visibility That Helps Us Prioritize Risk
Pricing can be on the higher side to similar tools.
The biggest benefit is speed and efficiency. Our team spends less time chasing noise and more time focusing on meaningful remediation. It’s also improved collaboration across security and engineering teams since everyone is working from the same data and insights, which helps us address issues faster and more effectively.
Quick to setup and clear view across our cloud environment
Reporting could be more flexible. You also can't assign owners for fixing vulnerabilities, which makes remediation harder to track.