Honeycomb MCP Server
Automate observability via Honeycomb — manage datasets, queries, and markers directly from any AI agent.
Ask AI about this MCP Server
Vinkius supports streamable HTTP and SSE.
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
What is the Honeycomb MCP Server?
The Honeycomb MCP Server gives AI agents like Claude, ChatGPT, and Cursor direct access to Honeycomb via 12 tools. Automate observability via Honeycomb — manage datasets, queries, and markers directly from any AI agent. Powered by the Vinkius - no API keys, no infrastructure, connect in under 2 minutes.
Built-in capabilities (12)
Tools for your AI Agents to operate Honeycomb
Ask your AI agent "List all datasets and find one related to 'payment-gateway'." and get the answer without opening a single dashboard. With 12 tools connected to real Honeycomb data, your agents reason over live information, cross-reference it with other MCP servers, and deliver insights you would spend hours assembling manually.
Works with Claude, ChatGPT, Cursor, and any MCP-compatible client. Powered by the Vinkius - your credentials never touch the AI model, every request is auditable. Connect in under two minutes.
Why teams choose Vinkius
One subscription gives you access to thousands of MCP servers - and you can deploy your own to the Vinkius Edge. Your AI agents only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure and security, zero maintenance.
Build your own MCP Server with our secure development framework →Vinkius works with every AI agent you already use
…and any MCP-compatible client
Honeycomb MCP Server capabilities
12 toolsPass 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
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 metadata for a specific dataset
Retrieve the results of an executed query
Retrieve information about the Honeycomb team
List all columns (fields) defined in a specific dataset
Use this to find the "slug" required for markers and queries. List all datasets in your Honeycomb team
List all boards (dashboards) shared with the team
List markers (annotations) for a dataset
List query specifications for a specific dataset
List triggers (alerts) defined for a dataset
Poll for results using "get_query_result" with the returned result ID. Execute a query specification and return a result ID
What the Honeycomb MCP Server unlocks
Connect your Honeycomb.io observability platform to any AI agent and take full control of your telemetry data, query specifications, and incident markers through natural conversation.
What you can do
- Dataset Oversight — List all event sources, retrieve detailed metadata, and monitor last access times for your datasets.
- Query Management — Define new query specifications and execute them to retrieve granular performance insights.
- Marker Automation — Create timeline annotations (e.g., for deployments or outages) to contextualize your data visualization.
- Schema Insights — List and inspect columns within specific datasets to understand your event structure.
- Team Collaboration — Access shared boards and retrieve information about your Honeycomb team configuration.
- Incident Analysis — Use AI to run complex queries and retrieve results for rapid troubleshooting and RCA.
How it works
1. Subscribe to this server
2. Enter your Honeycomb API Key and select your Region (US or EU)
3. Start querying your telemetry from Claude, Cursor, or any MCP-compatible client
No more manual configuration of complex query DSLs for simple status checks. Your AI assistant acts as a dedicated Observability Engineer or SRE Analyst.
Who is this for?
- SREs & DevOps — instantly retrieve query results and create markers during incident response.
- Software Engineers — monitor the performance of new deployments by inspecting specific dataset trends.
- Platform Leads — maintain a real-time overview of dataset usage and board sharing across the organization.
Frequently asked questions about the Honeycomb MCP Server
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.
Which region should I select?
If your browser URL starts with ui.eu1.honeycomb.io, select EU. Otherwise, select US. Using the correct region is required for the integration to connect to the right API cluster.
Can I run a query and get the data back?
Yes! Use the run_query tool with a valid query ID. It will return a result ID, which you can then pass to the get_query_result tool once the analysis is complete.
Is the integration secure for telemetry data?
Absolutely. The integration uses official Honeycomb Team API keys over HTTPS. Your credentials and queried data are encrypted and stored securely within the Vinkius Cloud infrastructure.
More in this category
arXiv
2 toolsSearch 2.5M+ scientific preprints across physics, computer science, mathematics, biology, economics, and more — with full abstracts, author lists, and direct PDF download links.
Looker (Business Intelligence & Data)
7 toolsManage your BI environment via Looker — list dashboards, execute inline queries, and audit saved Looks.
Mode Analytics
10 toolsManage collaborative data analysis via Mode Analytics — list spaces, query reports, and trigger report runs directly from any AI agent.
You might also like
CoderPad
8 toolsManage technical interviews and assessments via CoderPad — create pads, track interview events, and audit the question bank directly from any AI agent.
Fluxiom
9 toolsManage digital assets, organize with tags, and oversee collections via AI agents with Fluxiom DAM.
Loopio
8 toolsConnect your Loopio RFP platform to AI — search approved answers, manage proposal projects, and automate questionnaire responses naturally via chat.
Connect Honeycomb with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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.
Give your AI agents the power of Honeycomb MCP Server
Production-grade Honeycomb MCP Server. Verified, monitored, and maintained by Vinkius. Ready for your AI agents — connect and start using immediately.