Send Data with AI Agent

Connect any AI agent that supports the Model Context Protocol (MCP) to Honeycomb, then let it instrument your app, generate sample data, or pick up a pipeline you are already sending. This guide walks through how the process works, then gives exact steps for your client.

Just need to connect your agent to Honeycomb for querying, not sending data? Visit Connect to Honeycomb MCP instead.

How it works

Most AI agents follow the same pattern to start sending data to Honeycomb:

Connect to Honeycomb MCP: Some agents connect with a single prompt or one-click link; others need a short setup step first, depending on whether the client supports the Honeycomb plugin or agent skills.
Run guided onboarding: Once connected, you run Honeycomb’s onboarding prompt (/honeycomb-onboarding), which offers three paths: get real data into Honeycomb, send sample data based on your codebase, or analyze data you already send.
Let your agent do the rest: On the real data path, your agent instruments your app if needed, or sets up Honeycomb to receive a copy of the data you already send to Datadog or New Relic. Once your events arrive, your agent helps you start a Canvas investigation.

Auto-instrumentation depends on the Honeycomb plugin or agent skills being installed. Clients that connect through MCP only still complete onboarding, but guide you through instrumentation manually rather than doing it for you.

Before you begin

Make sure that:

Your Honeycomb team has enabled Honeycomb Intelligence.
Your AI agent supports remote MCP servers or plugins.

Send data by client

For exact setup steps and prompts, select your client:

Send data with Amazon Q Developer using the qchat CLI:

Install the Honeycomb MCP

Select your region and run the associated command in your terminal:

qchat mcp add --name honeycomb --command npx --args mcp-remote,https://mcp.honeycomb.io/mcp

qchat mcp add --name honeycomb --command npx --args mcp-remote,https://mcp.eu1.honeycomb.io/mcp

Onboard with Honeycomb

Run this prompt to start onboarding:

Begin Honeycomb onboarding

Honeycomb opens a browser window to authenticate the first time your agent uses an MCP tool. Grant the requested permissions to finish connecting.Your agent starts guided onboarding against your live Honeycomb account. Amazon Q connects through MCP only, so your agent guides you through manual OpenTelemetry instrumentation rather than auto-instrumentation, which is available on AI tools that support the Honeycomb plugin. To learn what each onboarding path does, visit the honeycomb-onboarding prompt reference.

Send data with Augment (Auggie CLI) by installing the Honeycomb plugin:

Add the Honeycomb agent skills as a plugin source

Run this in your terminal:

auggie plugin marketplace add honeycombio/agent-skill

To check out the Honeycomb agent skills, visit the agent skills repo.

Install the Honeycomb plugin

Run this in your terminal:

auggie plugin install honeycomb

Set up the Honeycomb MCP

Run this prompt in Auggie and authenticate with Honeycomb when asked:

Set up Honeycomb

Your agent connects to Honeycomb MCP: sets your region, authenticates, and verifies access.

Onboard with Honeycomb

Run this prompt to start onboarding:

Begin Honeycomb onboarding

Your agent starts guided onboarding against your live Honeycomb account. With the Honeycomb agent skills installed, your agent can instrument your app for you when needed. To learn what each onboarding path does, visit MCP Prompt Reference: honeycomb-onboarding.

Send data with ChatGPT by installing the Honeycomb app from ChatGPT’s app directory:

Install Honeycomb as a ChatGPT plugin

Go to the Honeycomb plugin page.
Select Install plugin.
When prompted, sign in to Honeycomb to finish authentication.

Onboard with Honeycomb

Run this prompt to start onboarding:

Begin Honeycomb onboarding

Send data with Claude Code by installing the Honeycomb plugin:

Install Honeycomb as a Claude Code plugin

Run this in your terminal:

claude plugin marketplace add honeycombio/agent-skill
claude plugin install honeycomb

Set up the Honeycomb MCP

Run this prompt in Claude Code and authenticate with Honeycomb when asked:

Set up Honeycomb

Your agent connects to Honeycomb MCP: sets your region, authenticates, and verifies access.

Onboard with Honeycomb

Once your agent authenticates, use this prompt to discover Honeycomb onboarding:

Begin Honeycomb onboarding

Set up Claude Code manually

Add the Honeycomb MCP

Run the command associated with your region in your terminal:

claude mcp add honeycomb --transport http https://mcp.honeycomb.io/mcp

claude mcp add honeycomb --transport http https://mcp.eu1.honeycomb.io/mcp

Add the Honeycomb skills

Download the skills folder from the Honeycomb agent-skill repo and copy it into your skills directory:

  git clone https://github.com/honeycombio/agent-skill.git /tmp/agent-skill-temp
  cp -r /tmp/agent-skill-temp/honeycomb/skills/* ~/.claude/skills/
  rm -rf /tmp/agent-skill-temp

For details on skill locations and scope, refer to Claude Code’s Agent Skills documentation.

Set up the MCP

Run this prompt in Claude Code and authenticate with Honeycomb when asked:

Set up Honeycomb

Your agent connects to Honeycomb MCP: sets your region, authenticates, and verifies access.

Onboard with Honeycomb

Once your agent authenticates, use this prompt to discover Honeycomb onboarding:

Begin Honeycomb onboarding

Send data with Claude Desktop using the Honeycomb connector and plugin:

Add the Honeycomb connector

Select Customize > Connectors.
Select Add > Browse Connectors.
Search for Honeycomb to go to the Honeycomb connector page.
Select the + on the Honeycomb connector to add it.
When prompted, sign in to Honeycomb and authorize the application. If no browser window opens to prompt authentication over OAuth, fully quit and reopen Claude Desktop.

Install the Honeycomb plugin

Select Customize > Plugins.
Select Browse.
Select the Partners view and search for Honeycomb.
Select the + on the Honeycomb plugin to add it.

Your Honeycomb agent skills are installed.

Onboard with Honeycomb

Run this prompt to start onboarding:

Begin Honeycomb onboarding

Send data with OpenAI Codex by installing Honeycomb as a plugin:

Install the Honeycomb plugin

Run this in your terminal:

codex plugin marketplace add honeycombio/agent-skill
codex plugin add honeycomb@honeycomb-plugins

Load the plugin

Restart Codex to load the plugin. This also configures the Honeycomb MCP server for you.

Instrument your application

Ask your AI agent to instrument your application:

Instrument my application

Your agent adds OpenTelemetry instrumentation and verifies events are arriving.

Send data with GitHub Copilot by installing the Honeycomb plugin:

Install Honeycomb as a Copilot plugin

Run this in your terminal:

copilot plugin install honeycombio/agent-skill:honeycomb

Set up the Honeycomb MCP

Run this prompt in Copilot and authenticate with Honeycomb when asked:

Set up Honeycomb

Your agent connects to Honeycomb MCP: sets your region, authenticates, and verifies access.

Onboard with Honeycomb

Run this prompt to start onboarding:

Begin Honeycomb onboarding

Send data with Cursor by installing the Honeycomb plugin:

Install Honeycomb as a Cursor plugin

Go to Preferences > Cursor Settings > Customize.
Select the Plugins view.
Select + Add > From Marketplace.
Select + Add Marketplace > Import from Github.
In the Repository field, paste: https://github.com/honeycombio/agent-skill.
Select Import.
Select Manage.
Type honeycomb in the search bar.
Locate the Honeycomb plugin, and select Add to Cursor.

Your MCP server is added and configured.

Authenticate with the Honeycomb MCP

Go to Preferences > Cursor Settings > Customize.
Select the MCPs view.
Locate the Honeycomb MCP, and select Authenticate.

Onboard with Honeycomb

Run this prompt to start onboarding:

Begin Honeycomb onboarding

Send data with VS Code (with GitHub Copilot) by installing the Honeycomb MCP server and agent skills:

Install the Honeycomb MCP

Use this one-click install link: Add Honeycomb to VS Code

Install the agent skills

Copy the agent skills files from the Honeycomb Agent Skills repo into VS Code’s skills directory. For setup steps, visit VS Code’s Agent Skills documentation.

Onboard with Honeycomb

Run this prompt to start onboarding:

Begin Honeycomb onboarding

Next steps

Example Use Cases: Explore real-world use cases and tips for working with Honeycomb via MCP.
Tools Reference: Learn about the tools Honeycomb MCP exposes to AI agents.
Prompts Reference: Learn about the prompts Honeycomb MCP provides, including /honeycomb-onboarding.
Troubleshooting: Fix common MCP configuration and connection issues.

Send Data with AI

Instrument Applications

Instrument Infrastructure

CI/CD Observability

Manage Pipelines

Shape Data

Control Data Volume

Use Cases

How it works

Before you begin

Send data by client

Next steps

​How it works

​Before you begin

​Send data by client

​Next steps

How it works

Before you begin

Send data by client

Next steps