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.

Honeycomb MCP Server for AutoGen 12 tools — connect in under 2 minutes

Name: Honeycomb
Availability: InStock
Author: Vinkius

microsoft.github.io/autogen/docs/tools/mcp-tools

Built by Vinkius GDPR 12 Tools Framework

Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Honeycomb as an MCP tool provider through the Vinkius and every agent in the group can access live data and take action.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    async with McpWorkbench(
        server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
        transport="streamable_http",
    ) as workbench:
        tools = await workbench.list_tools()
        agent = AssistantAgent(
            name="honeycomb_agent",
            tools=tools,
            system_message=(
                "You help users with Honeycomb. "
                "12 tools available."
            ),
        )
        print(f"Agent ready with {len(tools)} tools")

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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

About Honeycomb MCP Server

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.

AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Honeycomb tools. Connect 12 tools through the Vinkius and assign role-based access — a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.

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.

The Honeycomb MCP Server exposes 12 tools through the Vinkius. Connect it to AutoGen in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Honeycomb to AutoGen via MCP

Follow these steps to integrate the Honeycomb MCP Server with AutoGen.

Install AutoGen

Run pip install "autogen-ext[mcp]"

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Integrate into workflow

Use the agent in your AutoGen multi-agent orchestration

Explore tools

The workbench discovers 12 tools from Honeycomb automatically

Why Use AutoGen with the Honeycomb MCP Server

AutoGen provides unique advantages when paired with Honeycomb through the Model Context Protocol.

Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Honeycomb tools to solve complex tasks

Role-based architecture lets you assign Honeycomb tool access to specific agents — a data analyst queries while a reviewer validates

Human-in-the-loop support: agents can pause for human approval before executing sensitive Honeycomb tool calls

Code execution sandbox: AutoGen agents can write and run code that processes Honeycomb tool responses in an isolated environment

Honeycomb + AutoGen Use Cases

Practical scenarios where AutoGen combined with the Honeycomb MCP Server delivers measurable value.

Collaborative analysis: one agent queries Honeycomb while another validates results and a third generates the final report

Automated review pipelines: a researcher agent fetches data from Honeycomb, a critic agent evaluates quality, and a writer produces the output

Interactive planning: agents negotiate task allocation using Honeycomb data to make informed decisions about resource distribution

Code generation with live data: an AutoGen coder agent writes scripts that process Honeycomb responses in a sandboxed execution environment

Honeycomb MCP Tools for AutoGen (12)

These 12 tools become available when you connect Honeycomb to AutoGen via MCP:

create_marker

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

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

Get metadata for a specific dataset

get_query_result

Retrieve the results of an executed query

get_team_details

Retrieve information about the Honeycomb team

list_dataset_columns

List all columns (fields) defined in a specific dataset

list_datasets

Use this to find the "slug" required for markers and queries. List all datasets in your Honeycomb team

list_honeycomb_boards

List all boards (dashboards) shared with the team

list_markers

List markers (annotations) for a dataset

list_queries

List query specifications for a specific dataset

list_triggers

List triggers (alerts) defined for a dataset

run_query

Poll for results using "get_query_result" with the returned result ID. Execute a query specification and return a result ID

Example Prompts for Honeycomb in AutoGen

Ready-to-use prompts you can give your AutoGen agent to start working with Honeycomb immediately.

"List all datasets and find one related to 'payment-gateway'."

"Create a marker on all datasets: 'Deploy v2.4.0 started'."

"Execute query ID 'q_99283' for the 'main-api' dataset."

Troubleshooting Honeycomb MCP Server with AutoGen

Common issues when connecting Honeycomb to AutoGen through the Vinkius, and how to resolve them.

McpWorkbench not found

Install: pip install "autogen-ext[mcp]"

Honeycomb + AutoGen FAQ

Common questions about integrating Honeycomb MCP Server with AutoGen.

How does AutoGen connect to MCP servers?

Create an MCP tool adapter and assign it to one or more agents in the group chat. AutoGen agents can then call Honeycomb tools during their conversation turns.

Can different agents have different MCP tool access?

Yes. AutoGen's role-based architecture lets you assign specific MCP tools to specific agents, so a querying agent has different capabilities than a reviewing agent.