2,500+ MCP servers ready to use
Vinkius

Honeycomb MCP Server for VS Code Copilot 12 tools — connect in under 2 minutes

Built by Vinkius GDPR 12 Tools IDE

GitHub Copilot in VS Code is the most widely adopted AI coding assistant, embedded directly into the world's most popular code editor. With MCP support in Agent mode, Copilot can access external data and APIs to generate context-aware code grounded in real-time information.

Vinkius supports streamable HTTP and SSE.

RecommendedModern Approach — Zero Configuration

Vinkius Desktop App

The modern way to manage MCP Servers — no config files, no terminal commands. Install Honeycomb and 2,500+ MCP Servers from a single visual interface.

Vinkius Desktop InterfaceVinkius Desktop InterfaceVinkius Desktop InterfaceVinkius Desktop Interface
Download Free Open SourceNo signup required
Classic Setup·json
{
  "mcpServers": {
    "honeycomb": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}
Honeycomb
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.

GitHub Copilot Agent mode brings Honeycomb data directly into your VS Code workflow. With a project-scoped config, the entire team shares access to 12 tools. Copilot queries live data, generates typed code, and writes tests from actual API responses, all without leaving the editor.

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 VS Code Copilot 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 VS Code Copilot via MCP

Follow these steps to integrate the Honeycomb MCP Server with VS Code Copilot.

01

Create MCP config

Create a .vscode/mcp.json file in your project root

02

Add the server config

Paste the JSON configuration above

03

Enable Agent mode

Open GitHub Copilot Chat and switch to Agent mode using the dropdown

04

Start using Honeycomb

Ask Copilot: "Using Honeycomb, help me...". 12 tools available

Why Use VS Code Copilot with the Honeycomb MCP Server

GitHub Copilot for Visual Studio Code provides unique advantages when paired with Honeycomb through the Model Context Protocol.

01

VS Code is used by over 70% of developers. adding MCP tools to Copilot means your team can leverage external data without leaving their primary editor

02

Project-scoped MCP configs (`.vscode/mcp.json`) let you commit server configurations to your repository, ensuring the entire team shares the same tool access

03

Copilot's Agent mode integrates MCP tools seamlessly with file editing, terminal commands, and workspace search in a single agentic loop

04

GitHub's enterprise compliance and audit features extend to MCP tool usage, providing visibility into how AI interacts with external services

Honeycomb + VS Code Copilot Use Cases

Practical scenarios where VS Code Copilot combined with the Honeycomb MCP Server delivers measurable value.

01

Live API integration: Copilot can query an MCP server, inspect the response schema, and generate typed API client code in the same step

02

DevSecOps workflows: security teams can give developers access to domain intelligence tools directly in their editor for real-time vulnerability assessment during code review

03

Data pipeline development: Copilot fetches sample data via MCP and generates transformation scripts, validators, and test fixtures from actual API responses

04

Documentation generation: Copilot queries available tools and auto-generates README sections, API reference docs, and usage examples

Honeycomb MCP Tools for VS Code Copilot (12)

These 12 tools become available when you connect Honeycomb to VS Code Copilot via MCP:

01

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

02

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

03

get_dataset_details

Get metadata for a specific dataset

04

get_query_result

Retrieve the results of an executed query

05

get_team_details

Retrieve information about the Honeycomb team

06

list_dataset_columns

List all columns (fields) defined in a specific dataset

07

list_datasets

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

08

list_honeycomb_boards

List all boards (dashboards) shared with the team

09

list_markers

List markers (annotations) for a dataset

10

list_queries

List query specifications for a specific dataset

11

list_triggers

List triggers (alerts) defined for a dataset

12

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 VS Code Copilot

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

01

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

02

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

03

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

Troubleshooting Honeycomb MCP Server with VS Code Copilot

Common issues when connecting Honeycomb to VS Code Copilot through the Vinkius, and how to resolve them.

01

MCP tools not available

Ensure you are in Agent mode in Copilot Chat. MCP tools only appear in Agent mode.

Honeycomb + VS Code Copilot FAQ

Common questions about integrating Honeycomb MCP Server with VS Code Copilot.

01

Which VS Code version supports MCP?

MCP support requires VS Code 1.99 or later with the GitHub Copilot extension. Ensure both are updated to the latest version. Older versions of Copilot may not expose the Agent mode toggle.
02

How do I switch to Agent mode?

Open the Copilot Chat panel and look for two mode options: "Ask" and "Agent". Click "Agent" to enable autonomous tool calling. In Ask mode, Copilot provides conversational answers but cannot invoke MCP tools.
03

Can I restrict which MCP tools Copilot can access?

Yes. VS Code shows a tool consent dialog before any MCP tool is invoked for the first time. You can also configure tool access policies at the organization level through GitHub Copilot settings.
04

Does MCP work in VS Code Remote or Codespaces?

Yes. MCP servers configured via .vscode/mcp.json work in Remote SSH, WSL, and GitHub Codespaces environments. The MCP connection is established from the remote host, so ensure the server URL is accessible from that environment.

Connect Honeycomb to VS Code Copilot

Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.