Compatible with every major AI agent and IDE
Get detection value on Mapillary
Returns the detected value, type, GPS coordinates and image association. Get details for a specific object detection
Get image on Mapillary
Returns image ID, capture date/time, GPS coordinates, compass angle, sequence ID, organization and thumbnail URL. Use fields parameter to request additional data like "geometry,compass_angle,captured_at,sequence,thumb_256_url,thumb_1024_url,altitude". Get details for a specific Mapillary image
Get image detections on Mapillary
Returns detection values, types, geometry and confidence scores. Get object detections for a specific image
Get map features on Mapillary
Returns feature type, value, GPS coordinates and detection confidence. Useful for traffic sign inventory and road infrastructure analysis. Search map features (traffic signs, objects) by area
Get sequence on Mapillary
Returns sequence ID, creation date and related images. Get details for a specific image sequence
Search images on Mapillary
Returns image IDs, coordinates, capture dates, compass angles and sequence IDs. Bbox format: min_lon,min_lat,max_lon,max_lat (e.g. "-0.15,51.50,-0.10,51.52" for central London). Search street-level images by geographic area
Search sequences on Mapillary
Returns sequence IDs and metadata for all sequences that pass through the area. Search image sequences by geographic area
How Vinkius protects your data
Can I set different limits for each virtual assistant on my team?
Absolutely. You have full control in our command center. You can create an AI agent that only "reads" data so the support team can answer questions, and another superpowered agent that can "edit" and "create" information exclusively for your operations team. Each AI gets exactly the level of access you allow.
What map features are available?
Mapillary detects traffic signs (stop, speed limit, yield, etc.), road objects (fire hydrants, mailboxes, etc.) and road markings. Use get_map_features to search by area.
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.
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.
Automated Workflows using Mapillary
This integration supports direct MCP execution, enabling your chatbots to query and modify data within these specific environments.
Scaling street view via MCP
Integrate street view features into your LLM framework using Mapillary. The MCP server ensures precise command execution across your image video stack.
Next-Gen computer vision Automation
Add computer vision functionality to your custom chatbots. The Mapillary MCP handles the payload formatting required for ChatGPT and Claude to interface with image video endpoints.
Mapillary. 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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