Compatible with every major AI agent and IDE
Assign driver to task on Bringg
Manually override optimization and assign a specific driver to a task
Cancel task dispatch on Bringg
Cancel and permanently remove a delivery task from the dispatch schedule
Create delivery task on Bringg
Create a new delivery task (order) in the Bringg Delivery Hub
Force task complete on Bringg
Force a delivery task status to COMPLETE (successfully delivered)
Force task start on Bringg
Force a delivery task status to START (driver en route)
Get task timeline on Bringg
Retrieve comprehensive details and live timeline for a specific task
List active tasks on Bringg
` mapping the SaaS dashboard directly isolating pending deliveries. Retrieve a paginated list of active delivery tasks/orders
List customer crm on Bringg
List historical delivery recipients (customers) registered in Bringg
List fleet drivers on Bringg
List all human drivers (users) within the Bringg fleet network
Update task details on Bringg
Modify existing delivery task details such as customer notes or dropoff info
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.
Can I fetch the exact live location for a specific order?
Yes! Use the get_task_timeline tool. Your AI agent can query a specific task ID, reading the timeline progression as well as the active geolocation coordinates. This is perfect for support agents dealing with "Where is my order?" queries who don't want to open a secondary tab.
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.
Triggering Bringg via Natural Language
Use Bringg with any AI agent framework to process, analyze, and mutate data securely via the Model Context Protocol.
last mile delivery & AI Execution
Integrate Bringg for AI-driven last mile delivery management. The MCP server structures the outputs required for Claude to analyze erp operations data.
Cursor Copilot for fleet management
Use Bringg to interface with fleet management via natural language. The toolkit provides Cursor with LLM-friendly schemas for erp operations tasks.
Bringg. 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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