Compatible with every major AI agent and IDE
Get fault on Honeybadger (Error Tracking)
Get full details of a Honeybadger fault
Get notice on Honeybadger (Error Tracking)
Get full details of a Honeybadger notice
Get project on Honeybadger (Error Tracking)
Get full details of a Honeybadger project
List deployments on Honeybadger (Error Tracking)
List recent deployments registered in a Honeybadger project
List faults on Honeybadger (Error Tracking)
Returns class names, messages, environments, occurrence counts, and first/last noticed dates. List faults (error groups) for a Honeybadger project
List members on Honeybadger (Error Tracking)
List team members on a Honeybadger project
List notices on Honeybadger (Error Tracking)
List notices (individual error occurrences) for a Honeybadger fault
List projects on Honeybadger (Error Tracking)
Returns project names, IDs, tokens, language, environments, and fault/notice counts. List all projects in Honeybadger
List sites on Honeybadger (Error Tracking)
List uptime monitoring sites in a Honeybadger project
Resolve fault on Honeybadger (Error Tracking)
Irreversible matrix state change. Resolve a Honeybadger fault
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 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 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.
How do I mark an error as resolved from a conversation?
Use the resolve_fault tool by providing the Project ID and Fault ID. Your agent will update the status in Honeybadger, and you'll be notified if the same error occurs again in the future.
Automated Workflows using Honeybadger (Error Tracking)
The Honeybadger (Error Tracking) MCP server handles authentication and payload formatting, allowing your LLM to perform deterministic actions.
Streamlining error tracking
The Honeybadger (Error Tracking) toolkit provides AI native integration for error tracking. It structures data so Claude Code can accurately process developer tools requirements.
Execute uptime monitoring Commands with AI
The Honeybadger (Error Tracking) integration allows Cursor and ChatGPT to securely fetch uptime monitoring data. It handles the API requests required for developer tools operations.
Honeybadger (Error Tracking). 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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