Sold by: HashiCorpÂ
Deployed on AWS
The Vault Radar MCP Server enhances security operations by enabling teams to perform AI-powered, natural language queries of complex risk data through seamless integration with HashiCorp Vault Radar.
Security teams can assess and prioritize remediation of risks, explore connected data sources using natural language prompts instead of complex manual security analysis, reducing security analysis time while improving the organization's security posture.
Overview
The Vault Radar MCP Server is purpose-built to provide Security Teams with advanced, context-driven inquiry capabilities through Agentic AI workflows. By seamlessly integrating Large Language Models (LLMs) with Vault Radar, Security teams can now query their risk landscape using natural language prompts.
The result is faster, clearer and contextual insights into risk events and data source connections, without manual investigation and complex queries. Designed for security teams managing thousands of daily alerts, Vault Radar filters and ranks risks using multiple factors including severity scores, exploitability metrics, data sensitivity levels, and internal asset classifications. For example by asking "Which leaked secrets are of both critical severity and present in Vault?" teams can quickly assess their security posture and remediate those unmanaged secrets.
Security teams can also request a summary of their data source inventory or drill into specifics, such as asking, "How many GitHub sources are connected?". Vault Radar MCP Server enables security teams to focus on response and remediation rather than data gathering. The solution provides clear actionable recommendations that accelerate incident triage and improve overall security workflow efficiency.
Disclaimer: The Vault Radar MCP Server is currently in beta (terms of use) and intended for development, testing, and evaluation purposes. The customer must obtain its own license to use any AI tool connected to Radar using MCP Server and is responsible for all Customer data processed using the AI tool. Production deployment or use for commercial purposes is not recommended or supported. Any such uses are solely at Client's own risk.
Highlights
- Natural language query support
- Security risk and posture analysis
- Actionable remediations
Details
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Delivery method
Supported services
Delivery option
Container
Latest version
Operating system
Linux
Deployed on AWS
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This product is available free of charge. Free subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Vendor refund policy
N/A
Legal
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Delivery details
Container
Supported services: Learn moreÂ
- Amazon ECS
- Amazon ECS Anywhere
Container image
Containers are lightweight, portable execution environments that wrap server application software in a filesystem that includes everything it needs to run. Container applications run on supported container runtimes and orchestration services, such as Amazon Elastic Container Service (Amazon ECS) or Amazon Elastic Kubernetes Service (Amazon EKS). Both eliminate the need for you to install and operate your own container orchestration software by managing and scheduling containers on a scalable cluster of virtual machines.
Version release notes
The Vault Radar MCP server can be run as a container on your local workstation and exposes functionality to clients using tools.
The Vault Radar MCP server includes a set of tools that retrieve different types of information from your project's HCP Vault Radar instance.
Disclaimer: The Vault Radar MCP Server is currently in beta (see terms of use in the legal section) and intended for development, testing, and evaluation purposes. The customer must obtain its own license to use any AI tool connected to Radar using MCP Server and is responsible for all Customer data processed using the AI tool. Production deployment or use for commercial purposes is not recommended or supported. Any such uses are solely at Client's own risk.
Additional details
Usage instructions
- Install and configure the AWS CLI
https://docs.aws.amazon.com/cli/latest/userguide/installing.htmlÂ
- Retrieve the login command to authenticate your Docker client to your registry
aws ecr get-login-password --region us-east-1 | docker login --username AWS --password-stdin 709825985650.dkr.ecr.us-east-1.amazonaws.com
- Enter the login command retrieved in step 2. On successful login the following message will be seen
Login Succeeded
- Pull the docker image
docker pull 709825985650.dkr.ecr.us-east-1.amazonaws.com/hashicorp/vault-radar-mcp-server:0.1.0
- Start the instance of the container in the following way
docker run -it -e HCP_PROJECT_ID="<INPUT_HERE>" -e HCP_CLIENT_ID="INPUT_HERE" -e HCP_CLIENT_SECRET="INPUT_HERE" 709825985650.dkr.ecr.us-east-1.amazonaws.com/hashicorp/vault-radar-mcp-server:0.1.0
- To integrate this with a IDE of your choice, use the following documentation as an example
https://developer.hashicorp.com/terraform/docs/tools/mcp-server/deployÂ
Support
Vendor support
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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