Honeycomb MCP Server for Mastra AI 12 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Honeycomb through the Vinkius and Mastra agents discover all tools automatically — type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token — get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"honeycomb": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Honeycomb Agent",
instructions:
"You help users interact with Honeycomb " +
"using 12 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Honeycomb?"
);
console.log(result.text);
}
main();
* 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.
Mastra's agent abstraction provides a clean separation between LLM logic and Honeycomb tool infrastructure. Connect 12 tools through the Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution — deployable to any Node.js host in one command.
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 Mastra AI 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 Mastra AI via MCP
Follow these steps to integrate the Honeycomb MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 12 tools from Honeycomb via MCP
Why Use Mastra AI with the Honeycomb MCP Server
Mastra AI provides unique advantages when paired with Honeycomb through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add Honeycomb without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Honeycomb tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host — Vercel, Railway, Fly.io, or your own infrastructure
Honeycomb + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Honeycomb MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Honeycomb, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Honeycomb as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Honeycomb on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Honeycomb tools alongside other MCP servers
Honeycomb MCP Tools for Mastra AI (12)
These 12 tools become available when you connect Honeycomb to Mastra AI 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 Mastra AI
Ready-to-use prompts you can give your Mastra AI 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 Mastra AI
Common issues when connecting Honeycomb to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpHoneycomb + Mastra AI FAQ
Common questions about integrating Honeycomb MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
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.
Connect Honeycomb to Mastra AI
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.