ContextQA MCP Server for Cursor 10 tools — connect in under 2 minutes
Cursor is an AI-first code editor built on VS Code that integrates LLM-powered coding assistance directly into the development workflow. Its Agent mode enables autonomous multi-step coding tasks, and MCP support lets agents access external data sources and APIs during code generation.
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{
"mcpServers": {
"contextqa": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About ContextQA MCP Server
Connect your ContextQA account to any AI agent and take full control of your context-aware AI testing platform through natural conversation.
Cursor's Agent mode turns ContextQA into an in-editor superpower. Ask Cursor to generate code using live data from ContextQA and it fetches, processes, and writes — all in a single agentic loop. 10 tools appear alongside file editing and terminal access, creating a unified development environment grounded in real-time information.
What you can do
- Project & Suite Management — List bounded test environments and perform structural extraction of GUI test suites across your projects
- AI-Healing Executions — Monitor active test runs and inspect specific AI-healing states, including failing step boundaries and screen captures
- Automated Triggers — Dispatch live testing commands to queue suites against ContextQA test clusters directly from your workspace
- API & Swagger Testing — Enumerate automated HTTP assertions and explicitly verify structural payloads against OpenAPI configurations
- Environment Auditing — List physical runtime URLs and group active contexts to verify testing boundaries across different layers
- Test Case Inspection — Resolve AI root-cause models and validate specific case definitions to identify precise points of failure
The ContextQA MCP Server exposes 10 tools through the Vinkius. Connect it to Cursor in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect ContextQA to Cursor via MCP
Follow these steps to integrate the ContextQA MCP Server with Cursor.
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
Save the file
Cursor will automatically detect the new MCP server
Start using ContextQA
Open Agent mode in chat and ask: "Using ContextQA, help me..." — 10 tools available
Why Use Cursor with the ContextQA MCP Server
Cursor AI Code Editor provides unique advantages when paired with ContextQA through the Model Context Protocol.
Agent mode turns Cursor into an autonomous coding assistant that can read files, run commands, and call MCP tools without switching context
Cursor's Composer feature can generate entire files using real-time data fetched through MCP — no copy-pasting from external dashboards
MCP tools appear alongside built-in tools like file reading and terminal access, creating a unified agentic environment
VS Code extension compatibility means your existing workflow, keybindings, and extensions all work alongside MCP tools
ContextQA + Cursor Use Cases
Practical scenarios where Cursor combined with the ContextQA MCP Server delivers measurable value.
Code generation with live data: ask Cursor to generate a security report module using live DNS and subdomain data fetched through MCP
Automated documentation: have Cursor query your API's tool schemas and generate TypeScript interfaces or OpenAPI specs automatically
Infrastructure-as-code: Cursor can fetch domain configurations and generate corresponding Terraform or CloudFormation templates
Test scaffolding: ask Cursor to pull real API responses via MCP and generate unit test fixtures from actual data
ContextQA MCP Tools for Cursor (10)
These 10 tools become available when you connect ContextQA to Cursor via MCP:
get_case
Validate Data Science object extraction tracking explicit steps boundaries
get_execution
Execute static queries targeting exactly specific AI-healing Run states
get_project
Retrieve explicit Project mapping UUIDs analyzing execution spaces limitlessly
list_api_tests
Extracts native REST & OpenAPI testing configurations natively
list_cases
Discover explicit routing limits structuring ContextQA cases trees
list_environments
List static configurations mapping Environment target layers mapping limits
list_executions
Inspect deep internal interaction tracking explicit global Run chunks
list_projects
Identify bounded ContextQA test environments grouping automated validations
list_suites
Perform structural extraction matching asynchronous GUI test Suites payloads
trigger_run
Dispatch a live testing command routing explicit Jobs against pipelines
Example Prompts for ContextQA in Cursor
Ready-to-use prompts you can give your Cursor agent to start working with ContextQA immediately.
"List all test suites for project 'vinkius-app-prod'"
"Trigger a run for suite 'Checkout-Flow' in project 'vinkius-app-prod'"
"Show me why the last execution of project 'mobile-app' failed"
Troubleshooting ContextQA MCP Server with Cursor
Common issues when connecting ContextQA to Cursor through the Vinkius, and how to resolve them.
Tools not appearing in Cursor
Server shows as disconnected
ContextQA + Cursor FAQ
Common questions about integrating ContextQA MCP Server with Cursor.
What is Agent mode and why does it matter for MCP?
Where does Cursor store MCP configuration?
mcp.json file. You can configure servers at the project level (.cursor/mcp.json in your project root) or globally (~/.cursor/mcp.json). Project-level configs take precedence.Can Cursor use MCP tools in inline edits?
How do I verify MCP tools are loaded?
Connect ContextQA with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect ContextQA to Cursor
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.