Sold by: SmartBear Software
Deployed on AWS
The SmartBear MCP Server provides developers with AI-ready access to their API, testing, and observability data - directly within their AI-integrated workspaces. By unifying SmartBear's ecosystem into a single secure bridge, the MCP Server eliminates context switching, reduces friction, and enables seamless agentic workflows that accelerate development and maintain governance.
Overview
The SmartBear MCP Server connects SmartBear testing, API, and observability tools to AI workspaces like IDEs and AI assistants through the standardized Model Context Protocol (MCP). Instead of switching between tools, developers gain direct access to AI-ready data where they work, keeping build, test, and monitor workflows in one streamlined loop.
With this server, SmartBear customers can:
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Access and query APIs, test results, and observability data from compatible AI tools
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Orchestrate and monitor automated tests in real time
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Detect and prioritize flaky tests for faster, more reliable releases
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Generate actionable reports and debugging insights instantly
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Build secure, agentic workflows powered by SmartBear unified toolset
Example requests users could make from outside SmartBear products using MCP:
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Run contract tests for my payment service and list any breaking changes.
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Show me all failed test cases from the last regression run.
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Summarize the top 5 error events from the past 24 hours.
Highlights
- Unified access to API, testing, and observability data in one secure bridge.
- Orchestrate and monitor automated tests, detect flaky tests, and debug with AI.
- Local runtime ensures secure, compliant data access with full audit trails.
Details
Sold by
Delivery method
Type
Supported services
Delivery option
smartbear-mcp
Latest version
Operating system
Linux
Deployed on AWS
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Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Pricing and entitlements for this product are managed through an external billing relationship between you and the vendor. You activate the product by supplying a license purchased outside of AWS Marketplace, while AWS provides the infrastructure required to launch the product. AWS Subscriptions have no end date and may be canceled any time. However, the cancellation won't affect the status of the external license.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Vendor refund policy
Our refund policy can be found in the SmartBear Terms of Use: https://smartbear.com/terms-of-use/
Custom pricing options
Request a private offer to receive a custom quote.
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
smartbear-mcp
Supported services: Learn more
- Amazon Bedrock AgentCore
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
v.0.12.1 for AgentCore deployment.
Additional details
Usage instructions
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Launch the product using 1-Click from AWS Marketplace and wait for the deployment to complete; once deployed, the SmartBear MCP container image becomes available in your AWS account through Amazon Elastic Container Registry.
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Open the Amazon Bedrock AgentCore console and create a new AgentCore Runtime using the SmartBear MCP container image, select the MCP protocol with IAM authentication, and configure the runtime by supplying the required environment variables, including MCP_TRANSPORT=http and MCP_HTTP_PORT=3000, along with the appropriate SmartBear product credentials such as SWAGGER_API_KEY=your_swagger_api_key, BUGSNAG_AUTH_TOKEN=your_bugsnag_token, REFLECT_API_TOKEN=your_reflect_token, PACT_BROKER_TOKEN=your_pactflow_token, and QMETRY_API_KEY=your_qmetry_key.
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Save the runtime configuration and wait for the runtime status to become active; once running, the SmartBear MCP Server is automatically provisioned inside your AWS account and begins exposing MCP endpoints for tool discovery and invocation without requiring any additional installation, local setup, or manual port configuration.
For detailed setup guidance, best practices, and advanced configuration examples, please review the documentation here: https://developer.smartbear.com/smartbear-mcp/docs/mcp-server
For authentication setup, view: https://developer.smartbear.com/smartbear-mcp/docs/getting-started#authentication-setup
To configure environment variables, view: https://developer.smartbear.com/smartbear-mcp/docs/getting-started#configure-environment-variables
Resources
Vendor resources
Support
Vendor support
SmartBear offers multiple support options to enable your success with MCP. You can explore the MCP documentation, participate in our Community Forums, or submit a ticket through the SmartBear Support Portal: https://support.smartbear.com/
To get started quickly, you can also leverage the SmartBear Academy for self-paced training:
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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