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How to Use the Karbon MCP in LlamaIndex

Index your Karbon work items and contact notes into searchable LlamaIndex applications.

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LlamaIndex

Connect Karbon MCP to LlamaIndex

Create your Vinkius account to connect Karbon 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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Build RAG over your accounting projects

Your LlamaIndex application uses `list_work_items` to pull active engagements and feed them straight into a vector store. You can query past tax seasons or audit configurations and get answers grounded in actual firm data. When a user asks a question, the engine doesn't guess. It fires `get_work_item` to retrieve the exact project details, embedding that structured data alongside your internal documents. The result is a unified, queryable index of your entire operation.

Embed client history with this MCP Server

The `list_contact_notes` tool extracts every interaction logged against a specific client. LlamaIndex indexes these notes, allowing your agents to perform semantic searches over years of communication history. Need specific details? The system calls `get_contact` to pull phone numbers, addresses, and entity types. It mixes this structured API data with unstructured text to generate accurate, context-aware responses.

Query firm capacity and task status

Map out your firm's workload by indexing `list_work_tasks` alongside `list_users`. Your application can answer complex questions about who is assigned to what, based on live data rather than stale spreadsheets. Because the tools connect directly to the underlying API, the data is always current. If someone marks a task complete in the UI, your next LlamaIndex query reflects that change instantly.

Setup guide

Set up Karbon MCP in LlamaIndex

Prerequisites

  • Python 3.10+ installed
  • llama-index-tools-mcp package
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

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

  2. 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. 3

    Convert to LlamaIndex tools

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

  4. 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 Karbon tools.",
)
response = await agent.run("List recent Karbon data")

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Karbon. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Karbon MCP in LlamaIndex

Install `llama-index-tools-mcp`. Set up a `BasicMCPClient` pointing to your endpoint, wrap it with `McpToolSpec`, and pass the async tool list to your `FunctionAgent`.
Yes. While RAG is the primary focus, the agent can still execute `create_work_item` if you grant it permission. You just include it in the allowed tools filter.
It pulls data exactly when your agent decides to call the tools. If you run `list_contacts`, the query hits the live API endpoint at that exact moment.
Yes. Use the `allowed_tools` filter when configuring your `FunctionAgent`. Just exclude tools like `update_work_item` and `create_contact` to prevent accidental writes.
The server runs in a V8 Isolate Sandbox. Your task lists and firm member details are passed securely to your local vector store, and the connection drops immediately after the data transfer completes.

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