ContextQA MCP Server for Claude Code 10 tools — connect in under 2 minutes
Claude Code is Anthropic's agentic CLI for terminal-first development. Add ContextQA as an MCP server in one command and Claude Code will discover every tool at runtime — ideal for automation pipelines, CI/CD integration, and headless workflows via the Vinkius.
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# Your Vinkius token — get it at cloud.vinkius.com
claude mcp add contextqa --transport http "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.
Claude Code registers ContextQA as an MCP server in a single terminal command. Once connected, Claude Code discovers all 10 tools at runtime and can call them headlessly — ideal for CI/CD pipelines, cron jobs, and automated workflows where ContextQA data drives decisions without human intervention.
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 Claude Code 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 Claude Code via MCP
Follow these steps to integrate the ContextQA MCP Server with Claude Code.
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
Add the MCP Server
Run the command above in your terminal
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
Start using ContextQA
Ask Claude: "Using ContextQA, show me..." — 10 tools are ready
Why Use Claude Code with the ContextQA MCP Server
Claude Code provides unique advantages when paired with ContextQA through the Model Context Protocol.
Single-command setup: `claude mcp add` registers the server instantly — no config files to edit or applications to restart
Terminal-native workflow means MCP tools integrate seamlessly into shell scripts, CI/CD pipelines, and automated DevOps tasks
Claude Code runs headlessly, enabling unattended batch processing using ContextQA tools in cron jobs or deployment scripts
Built by the same team that created the MCP protocol, ensuring first-class compatibility and the fastest adoption of new protocol features
ContextQA + Claude Code Use Cases
Practical scenarios where Claude Code combined with the ContextQA MCP Server delivers measurable value.
CI/CD integration: embed ContextQA tool calls in your deployment pipeline to validate configurations or fetch secrets before shipping
Headless batch processing: schedule Claude Code to query ContextQA nightly and generate reports without human intervention
Shell scripting: pipe ContextQA outputs into other CLI tools for data transformation, filtering, and aggregation
Infrastructure monitoring: run Claude Code in a cron job to query ContextQA status endpoints and alert on anomalies
ContextQA MCP Tools for Claude Code (10)
These 10 tools become available when you connect ContextQA to Claude Code 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 Claude Code
Ready-to-use prompts you can give your Claude Code 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 Claude Code
Common issues when connecting ContextQA to Claude Code through the Vinkius, and how to resolve them.
Command not found: claude
npm install -g @anthropic-ai/claude-codeConnection timeout
ContextQA + Claude Code FAQ
Common questions about integrating ContextQA MCP Server with Claude Code.
How do I add an MCP server to Claude Code?
claude mcp add --transport http "" in your terminal. Claude Code registers the server and discovers all tools immediately.Can Claude Code run MCP tools in headless mode?
How do I list all connected MCP servers?
claude mcp in your terminal to see all registered servers and their status, or type /mcp inside an active Claude Code session.Connect ContextQA with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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Google's framework for building production AI agents.
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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 Claude Code
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
