Compatible with every major AI agent and IDE
Calculate path on Pointr
Calculate the optimal indoor wayfinding path between two points
Get building on Pointr
Retrieve detailed configuration for a specific Pointr building
Get level map on Pointr
Retrieve the floor plan map data for a specific building level
Get poi on Pointr
Retrieve detailed information for a specific Pointr POI
List beacons on Pointr
List all BLE beacons deployed and registered in the Pointr platform
List buildings on Pointr
List all buildings registered in the Pointr indoor intelligence platform
List geofences on Pointr
List all indoor geofences configured in the Pointr platform
List levels on Pointr
List all floor levels for a specific Pointr building
List pois on Pointr
List all Points of Interest (POIs) registered in the Pointr platform
Search pois on Pointr
Search for indoor Points of Interest by keyword
How Vinkius protects your data
Can I audit what my AI agents are doing with this integration?
Yes, Vinkius provides an immutable, HMAC-chained audit log. Every tool execution, payload, and response is tracked in real-time on your dashboard, giving you complete visibility into your agent's actions.
What happens if the underlying API rate limits my agent?
Our edge infrastructure automatically handles backoffs, queueing, and throttling. If an AI agent sends too many erratic requests, Vinkius manages the rate limits gracefully, ensuring your backend doesn't crash.
Does the AI train on my tools or API data?
No. Vinkius enforces a strict Zero-Retention policy. Your data simply passes through our secure servers to complete the requested action and is instantly forgotten. Nothing you do here is ever stored, logged, or used to train any artificial intelligence.
Can the agent calculate walking paths across multiple floors?
Yes. When triggering calculate_path supplied with explicit coordinate pairings spanning different Level UUIDs, the Pointr engine bridges the wayfinding automatically. It factors in fixed transitions like elevators or stairs natively, feeding the Agent the comprehensive turn-by-turn array in JSON format seamlessly.
What can AI Agents do with Pointr?
Build automated workflows with Cursor and Claude Code by connecting to the Pointr MCP server.
Seamless indoor positioning Integration
Use Pointr to interface with indoor positioning via natural language. The toolkit provides Cursor with LLM-friendly schemas for iot hardware tasks.
Connecting wayfinding with Cursor
Integrate wayfinding features into your LLM framework using Pointr. The MCP server ensures precise command execution across your iot hardware stack.
Pointr. Runs on everything.
From IDE to framework. Every connection governed by Vinkius.
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
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.
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