AlisQI 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": {
"alisqi": {
"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 AlisQI MCP Server
Connect your AlisQI instance to your AI agent to unlock professional quality management (QMS) orchestration. From auditing quality results and managing analysis sets to retrieving technical metadata for fields and monitoring workflow webhooks, your agent handles your quality operations through natural conversation.
Cursor's Agent mode turns AlisQI into an in-editor superpower. Ask Cursor to generate code using live data from AlisQI 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
- Results Orchestration — List, retrieve, and store quality results for any of your custom analysis sets
- Schema Discovery — List and audit analysis sets and their field definitions to understand your dynamic data model
- Document Oversight — Retrieve technical metadata for result attachments and monitor your quality documentation
- Workflow Monitoring — List active webhooks to ensure your quality event triggers (like non-conformities) are operational
- QMS Insights — Quickly identify quality trends or audit recent analysis entries directly from your chat interface
The AlisQI 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 AlisQI to Cursor via MCP
Follow these steps to integrate the AlisQI 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 AlisQI
Open Agent mode in chat and ask: "Using AlisQI, help me...". 10 tools available
Why Use Cursor with the AlisQI MCP Server
Cursor AI Code Editor provides unique advantages when paired with AlisQI 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
AlisQI + Cursor Use Cases
Practical scenarios where Cursor combined with the AlisQI 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
AlisQI MCP Tools for Cursor (10)
These 10 tools become available when you connect AlisQI to Cursor via MCP:
get_analysis_set_details
Get set metadata
get_api_info
Check API status
get_result_attachments
List document attachments
get_result_details
Get specific result
list_active_webhooks
List active triggers
list_analysis_sets
List analysis sets
list_choice_lists
List selection menus
list_fields
List dynamic fields
list_results
Supports filtering. List quality results
store_results
Create or update results
Example Prompts for AlisQI in Cursor
Ready-to-use prompts you can give your Cursor agent to start working with AlisQI immediately.
"List all analysis sets available in my AlisQI instance."
"Show the last 5 quality results for 'Raw Material Inspection'."
"Check if there are any active webhooks for non-conformities."
Troubleshooting AlisQI MCP Server with Cursor
Common issues when connecting AlisQI to Cursor through the Vinkius, and how to resolve them.
Tools not appearing in Cursor
Server shows as disconnected
AlisQI + Cursor FAQ
Common questions about integrating AlisQI 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 AlisQI with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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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 AlisQI to Cursor
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
