Compatible with every major AI agent and IDE
Batch geocode addresses on ArcGIS
Addresses must be provided as an ArcGIS-compatible JSON array string. Geocode a bulk batch of up to 1000 addresses
Calculate od matrix on ArcGIS
Calculate travel time and distances between multiple origins and destinations
Calculate service area on ArcGIS
Facilities specified as lon,lat. Calculate drive-time, walk-time, or travel-distance service areas
Find address candidates on ArcGIS
Use this to turn text addresses into latitude and longitude. Find an address or place using ArcGIS Geocoding
Find address country on ArcGIS
g., USA, BRA, FRA). Ensures results are geographically bounded. Find an address filtered by a specific country
Reverse geocode on ArcGIS
Coordinate format must be lon,lat (e.g. -117.19,34.05). Discover the closest address to a specific location (lon,lat)
Solve nav route on ArcGIS
Point sequence must be provided as lon,lat;lon,lat. Returns detailed turn-by-turn directions, travel time, and distance. Find the best route between two or more locations
Solve vehicle routing on ArcGIS
Takes an ArcGIS Orders JSON mapping string detailing the stops. Solve a Vehicle Routing Problem (VRP) for a fleet
Suggest geocoding on ArcGIS
Use this to help users select valid addresses before performing a full geocode request. Get autocomplete suggestions for partial addresses or place names
Suggest location bias on ArcGIS
Get autocomplete suggestions biased towards a specific location
How Vinkius protects your data
Is there a risk of the AI "going crazy" and deleting important company data?
No. With Vinkius, the AI operates on "rails". It can only make the exact moves you authorized in the tool's settings. It cannot invent routes, access other networks in your company, or decide to delete random files. If the action isn't in the approved catalog, the attempt is blocked instantly.
Can my AI agent process a spreadsheet of hundreds of addresses into coordinates automatically?
Yes. Simply share an array or JSON of addresses, and your agent can use the batch geocoding tool to process up to 1000 records in a single API call, returning precise latitude and longitude faster than any manual lookup.
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.
What if the AI ends up reading customer data or confidential information?
We have a built-in digital "bodyguard" called DLP (Data Loss Prevention). If a tool fetches data and the response contains social security numbers, credit cards, or personal customer info, Vinkius magically blocks and erases that information before it is delivered to the AI. The AI works only with what is strictly necessary, and your sensitive data never leaks.
Triggering ArcGIS via Natural Language
Connect your AI agents and chatbots (Claude, ChatGPT, Cursor) with the ArcGIS MCP server to manage operations across the following domains.
Prompting spatial analysis Workflows
Integrate the ArcGIS server to handle spatial analysis requests natively. It provides the schemas required for ChatGPT and Cursor to manage superpower data.
Automating mapping with AI
Deploy the ArcGIS toolkit to manage mapping. The integration offers robust endpoints for ChatGPT to control superpower settings.
ArcGIS. 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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