How to Use the Honeycomb MCP in LlamaIndex

Q: Can I list all my markers?

Yes. Use listmarkers to pull your deployment history. This data can be indexed to help the agent understand when code changes occurred.

Q: How does the agent know which dataset to use?

You provide the slug. The agent uses listdatasets to discover available options and then targets the correct one for your query.

Index your Honeycomb insights into LlamaIndex for a searchable knowledge base of your system performance.

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Connect Honeycomb MCP to LlamaIndex

Create your Vinkius account to connect Honeycomb to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Honeycomb with LlamaIndex

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Build a searchable index of your Honeycomb data

Turn your query results into a persistent knowledge base. Use `list_datasets` and `get_dataset_details` to feed schema information into your vector store. This lets you query past performance patterns. Your agent searches the indexed results to answer questions about system behavior without running fresh queries every time.

Query your infrastructure via natural language

Your agent turns requests into `create_query_specification` payloads. It maps your intent to the fields found using `list_dataset_columns` to generate accurate queries. It grounds the agent in your real telemetry. You get answers based on actual trace data rather than vague assumptions about system health.

Keep your documentation in sync with reality

Use `list_honeycomb_boards` to pull current dashboard layouts into your index. Your agent can then explain the current state of your system to anyone on the team. It keeps the team aligned. When you ask about a specific service, the agent knows exactly which board and trigger to reference.

Setup guide

Set up Honeycomb MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all Honeycomb MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to Honeycomb tools.",
)
response = await agent.run("List recent Honeycomb data")

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Common questions about Honeycomb MCP in LlamaIndex

The MCP server fetches the data for you. LlamaIndex then indexes the results so you can perform semantic searches across your telemetry.

Yes. Since the data is indexed, you can query older results that were previously fetched and stored in your vector database.

It is. The data remains within your local environment. Only the specific telemetry you choose to index is processed by your vector store.

Yes. Use `list_markers` to pull your deployment history. This data can be indexed to help the agent understand when code changes occurred.

You provide the slug. The agent uses `list_datasets` to discover available options and then targets the correct one for your query.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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