This MCP server provides a bridge between Claude AI and the Honeycomb API, enabling you to interact with Honeycomb for observability and monitoring workflows directly through Claude.
You can install the server globally or use it directly with npx:
# Install globally
npm install -g @kajirita2002/honeycomb-mcp-server
# Or use directly with npx
npx @kajirita2002/honeycomb-mcp-server
Set up your Honeycomb API key as an environment variable:
export HONEYCOMB_API_KEY="your_honeycomb_api_key"
Add the following to your mcp_config.json
file to configure Claude to use this server:
"honeycomb": {
"command": "npx",
"args": ["-y", "@kajirita2002/honeycomb-mcp-server"],
"env": {
"HONEYCOMB_API_KEY": "your_honeycomb_api_key"
}
}
Start the server with:
npm start
When asking Claude to list your Honeycomb datasets:
[Claude] I'll list all the available datasets in your Honeycomb environment.
Here are your available datasets:
- production-metrics (slug: prod-metrics)
- staging-services (slug: staging-svc)
- application-logs (slug: app-logs)
Example of creating a dataset and adding an event:
[Claude] Creating dataset "Application Monitoring" with the description "Monitoring for our production application"...
The dataset has been successfully created! Now I'll add a sample event to it.
Success! I've added a sample event with the following data:
{
"service": "api-server",
"message": "User login successful",
"duration_ms": 45,
"status_code": 200,
"endpoint": "/api/login",
"timestamp": "2025-03-25T14:30:00Z"
}
Example of creating and running a query:
[Claude] I'll create a query that shows the average duration by endpoint:
Input:
{
"datasetSlug": "application-monitoring",
"query": {
"calculations": [
{
"op": "AVG",
"column": "duration_ms"
}
],
"breakdowns": ["endpoint"],
"time_range": 3600
}
}
When errors occur, the MCP server returns information in this format:
{
"error": {
"message": "Detailed error description",
"code": "ERROR_CODE"
}
}
To add this MCP server to Claude Code, run this command in your terminal:
claude mcp add-json "honeycomb" '{"command":"npx","args":["-y","@kajirita2002/honeycomb-mcp-server"],"env":{"HONEYCOMB_API_KEY":"your_honeycomb_api_key"}}'
See the official Claude Code MCP documentation for more details.
There are two ways to add an MCP server to Cursor. The most common way is to add the server globally in the ~/.cursor/mcp.json
file so that it is available in all of your projects.
If you only need the server in a single project, you can add it to the project instead by creating or adding it to the .cursor/mcp.json
file.
To add a global MCP server go to Cursor Settings > Tools & Integrations and click "New MCP Server".
When you click that button the ~/.cursor/mcp.json
file will be opened and you can add your server like this:
{
"mcpServers": {
"honeycomb": {
"command": "npx",
"args": [
"-y",
"@kajirita2002/honeycomb-mcp-server"
],
"env": {
"HONEYCOMB_API_KEY": "your_honeycomb_api_key"
}
}
}
}
To add an MCP server to a project you can create a new .cursor/mcp.json
file or add it to the existing one. This will look exactly the same as the global MCP server example above.
Once the server is installed, you might need to head back to Settings > MCP and click the refresh button.
The Cursor agent will then be able to see the available tools the added MCP server has available and will call them when it needs to.
You can also explicitly ask the agent to use the tool by mentioning the tool name and describing what the function does.
To add this MCP server to Claude Desktop:
1. Find your configuration file:
~/Library/Application Support/Claude/claude_desktop_config.json
%APPDATA%\Claude\claude_desktop_config.json
~/.config/Claude/claude_desktop_config.json
2. Add this to your configuration file:
{
"mcpServers": {
"honeycomb": {
"command": "npx",
"args": [
"-y",
"@kajirita2002/honeycomb-mcp-server"
],
"env": {
"HONEYCOMB_API_KEY": "your_honeycomb_api_key"
}
}
}
}
3. Restart Claude Desktop for the changes to take effect