Compatible with every major AI agent and IDE
Create marker on Honeycomb
Pass details as a JSON string in "body_json" (requires message). Use "__all__" for team-wide markers. Create a new marker (e.g., deploy, maintenance) on a dataset timeline
Create query specification on Honeycomb
Pass the specification as a JSON string in "query_json". Returns a query ID for execution. Create a new query specification for a dataset
Get dataset details on Honeycomb
Get metadata for a specific dataset
Get query result on Honeycomb
Retrieve the results of an executed query
Get team details on Honeycomb
Retrieve information about the Honeycomb team
List dataset columns on Honeycomb
List all columns (fields) defined in a specific dataset
List datasets on Honeycomb
Use this to find the "slug" required for markers and queries. List all datasets in your Honeycomb team
List honeycomb boards on Honeycomb
List all boards (dashboards) shared with the team
List markers on Honeycomb
List markers (annotations) for a dataset
List queries on Honeycomb
List query specifications for a specific dataset
List triggers on Honeycomb
List triggers (alerts) defined for a dataset
Run query on Honeycomb
Poll for results using "get_query_result" with the returned result ID. Execute a query specification and return a result ID
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.
How do I find my Honeycomb API Key?
Log in to Honeycomb, go to Team Settings, and navigate to the API Keys section. You will be able to generate and copy your Team API Key from there. Ensure you also note your account's region.
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.
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.
What can AI Agents do with Honeycomb?
Enable conversational interfaces like ChatGPT and Claude to execute programmatic commands against the Honeycomb infrastructure.
Next-Gen telemetry Automation
Integrate Honeycomb for AI-driven telemetry management. The MCP server structures the outputs required for Claude to analyze brain trust data.
Claude Code Integration for high cardinality
Integrate Honeycomb to access native high cardinality capabilities. This allows LLMs to perform secure, deterministic execution of brain trust tasks without hard-coded API scripts.
Honeycomb. 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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