smartbear-mcp
SmartBear's official MCP Server
Install / Use
claude mcp add SmartBear -- npx -y github:SmartBear/smartbear-mcpIf the server publishes to npm under a different name, use that package instead — check the repo README.
MCP Server
Model Context Protocol server
Quality Score
Category
Development & EngineeringSupported Platforms
Tags
Our assessment of smartbear-mcp
smartbear-mcp scores 79/100 on our quality scale, 3616th of 4,617 Development & Engineering skills we index.
Its MCP Server is 16 KB long, well organised into 12 sections with 2 code examples: a thorough specification that gives an agent plenty to work with.
It has 44 GitHub stars, so there is little community track record yet; judge it on its content.
Maintenance, license and trust
- The repository was last updated today, so smartbear-mcp is actively maintained.
- Our last check on 2026-10-21 found the source still online.
- It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
- Its trust signals score 92/100, with 1 caution from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
Safety scan
No issues foundOur scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful.
AI review by kimi-k2.7-code on 2026-09-24. Automated pattern scan on 2026-09-24. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.
smartbear-mcp compared with similar skills
All 4 of these similar skills score higher than smartbear-mcp; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| smartbear-mcp (this skill)by SmartBear | 79 | 44 | today | MCP Server |
| taste-skillby Leonxlnx | 100 | 110.6k | today | CLAUDE.md |
| Agent-Reachby Panniantong | 100 | 109.2k | today | CLAUDE.md |
| headroomby headroomlabs-ai | 100 | 78.9k | today | CLAUDE.md |
| ai-job-searchby ai-job-search-dev | 100 | 69.8k | today | CLAUDE.md |
Frequently asked questions
- How do I install smartbear-mcp?
- Run
claude mcp add SmartBear -- npx -y github:SmartBear/smartbear-mcp. The install tabs above show the steps for each supported agent. - Which AI agents does smartbear-mcp work with?
- It is written for Claude Code and Claude Desktop, as a MCP Server file. Other agents that read the same format can often use it too.
- Is smartbear-mcp safe to use?
- Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful. It is MIT-licensed and scores 92/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is smartbear-mcp still maintained?
- The repository was last updated today, so smartbear-mcp is actively maintained.
Skill content
View source on GitHubA Model Context Protocol (MCP) server which provides AI assistants with seamless access to SmartBear's suite of testing and monitoring tools, including BearQ, BugSnag, Reflect, Swagger, PactFlow, Pact Broker, QMetry, QTM4J, Zephyr and Collaborator.
What is MCP?
The Model Context Protocol (MCP) is an open standard that enables AI assistants to securely connect to external data sources and tools. This server exposes SmartBear's APIs through natural language interfaces, allowing you to query your testing data, analyze performance metrics, and manage test automation directly from your AI workflow.
Supported Tools
See individual guides for suggested prompts and supported tools and resources:
- BearQ - AI-powered QA test management and execution capabilities
- BugSnag - Comprehensive error monitoring and debugging capabilities
- Reflect - Test management and execution capabilities
- Swagger
- Portal - Portal and product management capabilities
- Studio - API and Domain management capabilities, including AI-powered API generation from prompts and automatic standardization
- Contract Testing (PactFlow) - Contract testing capabilities
- Functional Testing - API test discovery capabilities
- QMetry - QMetry Test Management capabilities
- Zephyr - Zephyr Test Management capabilities
- Collaborator - Review and Remote System Configuration management capabilities
- QTM4J - QTM4J Test Management for Jira capabilities
Remote MCP Servers
For BugSnag, Swagger, and Zephyr, SmartBear hosts Remote MCP Servers that you can connect to directly from your MCP client via a URL — no installation, Node.js, or API tokens required. Authentication is handled through an OAuth browser flow.
| Product | Server URL |
|---|---|
| Swagger | https://swagger.mcp.smartbear.com/mcp |
| BugSnag | https://bugsnag.mcp.smartbear.com/mcp |
| Zephyr | https://zephyr.mcp.smartbear.com/mcp |
See the Remote MCP Servers guide for per-client setup instructions. You can connect to multiple remote servers at the same time.
Need BearQ, Reflect, QMetry, QTM4J, PactFlow, Collaborator, or Functional Testing? These products are only available via the local npm package below, which bundles all products into a single MCP server.
Prerequisites
- Node.js 22+ and npm
- Access to SmartBear products (BugSnag, Reflect, Swagger, QMetry, QTM4J or Zephyr)
- Valid API tokens for the products you want to integrate
Local MCP Server Installation (npm)
For all products — or if you prefer running the server locally — the MCP server is distributed as an npm package @smartbear/mcp, making it easy to integrate into your development workflow.
The server is started with the API key or auth token that you use with your SmartBear product(s). They are optional and can be removed from your configuration if you aren't using the product. For BugSnag, if you provide a project API key it will narrow down all searches to a single project in your BugSnag dashboard. Leave this field blank if you wish to interact across multiple projects at a time.
VS Code with Copilot
For the quickest setup, use the "MCP: Add server…" command in the Command Palette to add the @smartbear/mcp npm package.
Alternatively, you can use npx (or globally install) the @smartbear/mcp package to run the server and add the following to your .vscode/mcp.json file:
{
"servers": {
"smartbear": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@smartbear/mcp@latest"
],
"env": {
"BEARQ_API_TOKEN": "${input:bearq_api_token}",
"BEARQ_API_BASE_URL": "${input:bearq_api_base_url}",
"BUGSNAG_AUTH_TOKEN": "${input:bugsnag_auth_token}",
"BUGSNAG_PROJECT_API_KEY": "${input:bugsnag_project_api_key}",
"REFLECT_API_TOKEN": "${input:reflect_api_token}",
"SWAGGER_API_KEY": "${input:swagger_api_key}",
"SWAGGER_PORTAL_BASE_PATH": "${input:swagger_portal_base_path}",
"SWAGGER_REGISTRY_BASE_PATH": "${input:swagger_registry_base_path}",
"SWAGGER_UI_BASE_PATH": "${input:swagger_ui_base_path}",
"PACT_BROKER_BASE_URL": "${input:pact_broker_base_url}",
"PACT_BROKER_TOKEN": "${input:pact_broker_token}",
"PACT_BROKER_USERNAME": "${input:pact_broker_username}",
"PACT_BROKER_PASSWORD": "${input:pact_broker_password}",
"QMETRY_API_KEY": "${input:qmetry_api_key}",
"QMETRY_BASE_URL": "${input:qmetry_base_url}",
"ZEPHYR_API_TOKEN": "${input:zephyr_api_token}",
"ZEPHYR_BASE_URL": "${input:zephyr_base_url}",
"COLLABORATOR_BASE_URL": "${input:collab_base_url}",
"COLLABORATOR_USERNAME": "${input:collab_username}",
"COLLABORATOR_LOGIN_TICKET": "${input:collab_login_ticket}",
"QTM4J_API_KEY": "${input:qtm4j_api_key}",
"QTM4J_BASE_URL": "${input:qtm4j_base_url}",
"QTM4J_AUTOMATION_API_KEY": "${input:qtm4j_automation_api_key}",
"SWAGGER_FUNCTIONAL_TESTING_API_TOKEN": "${input:swagger_functional_testing_api_token}",
"SWAGGER_FUNCTIONAL_TESTING_BASE_PATH": "${input:swagger_functional_testing_base_path}"
}
}
},
"inputs": [
{
"id": "bearq_api_token",
"type": "promptString",
"description": "BearQ workspace API token - leave blank to disable BearQ tools",
"password": true
},
{
"id": "bearq_api_base_url",
"type": "promptString",
"description": "BearQ API base URL - leave blank to use the default (https://api.bearq.smartbear.com)",
"password": false
},
{
"id": "bugsnag_auth_token",
"type": "promptString",
"description": "BugSnag Auth Token - leave blank to disable BugSnag tools",
"password": true
},
{
"id": "bugsnag_project_api_key",
"type": "promptString",
"description": "BugSnag Project API Key - for single project interactions",
"password": false
},
{
"id": "reflect_api_token",
"type": "promptString",
"description": "Reflect API Token - leave blank to disable Reflect tools",
"password": true
},
{
"id": "swagger_api_key",
"type": "promptString",
"description": "Swagger API Key - leave blank to disable Swagger tools",
"password": true
},
{
"id": "swagger_portal_base_path",
"type": "promptString",
"description": "Swagger Portal API base path - only needed for on-premise installations (leave blank for cloud)",
"password": false
},
{
"id": "swagger_registry_base_path",
"type": "promptString",
"description": "Swagger Registry API base path - only needed for on-premise installations (leave blank for cloud)",
"password": false
},
{
"id": "swagger_ui_base_path",
"type": "promptString",
"description": "Swagger UI base path - only needed for on-premise installations (leave blank for cloud)",
"password": false
},
{
"id": "pact_broker_base_url",
"type": "promptString",
"description": "PactFlow or Pact Broker base url - leave blank to disable the tools",
"password": true
},
{
"id": "pact_broker_token",
"type": "promptString",
"description": "PactFlow Authentication Token",
"password": true
},
{
"id": "pact_broker_username",
"type": "promptString",
"description": "Pact Broker Username",
"password": true
},
{
"id": "pact_broker_password",
"type": "promptString",
"description": "Pact Broker Password",
"password": true
},
{
"id": "qmetry_api_key",
"type": "promptString",
"description": "QMetry Open API Key",
"password": true
},
{
"id": "qmetry_base_url",
"type": "promptString",
"description": "By default, connects to https://testmanagement.qmetry.com. Change to a custom QMetry server URL or a region-specific endpoint if needed.",
"password": false
},
{
"id": "zephyr_api_token",
"type": "promptString",
"description": "Zephyr API token - leave blank to disable Zephyr tools",
"password": true
},
{
"id": "zephyr_base_url",
"type": "promptString",
"description": "Zephyr API base URL. By default, connects to https://api.zephyrscale.smartbear.com/v2. Change to region-specific endpoint if needed.",
"password": false
},
{
"id": "collab_base_url",
"type": "promptString",
"description": "Collab base url",
"password": true
},
{
"id": "collab_username",
"type": "promptString",
"description": "Collab username",
"password": true
},
{
"id": "collab_login_ticket",
"type": "promptString",
"description": "Collab login ticket",
"password": true
},
{
"id": "qtm4j_api_key",
"ty
Truncated for display — read the full file on GitHub.
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Languages
Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
