Karbon MCP Server for LlamaIndex 12 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Karbon as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Karbon. "
"You have 12 tools available."
),
)
response = await agent.run(
"What tools are available in Karbon?"
)
print(response)
asyncio.run(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 Karbon MCP Server
Connect your Karbon account to any AI agent to streamline your accounting firm's operations. This MCP server allows your agent to interact with Karbon's powerful workflow and practice management features.
LlamaIndex agents combine Karbon tool responses with indexed documents for comprehensive, grounded answers. Connect 12 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
What you can do
- Contact Management — List, retrieve, and create contacts (both People and Organizations) to maintain a clean CRM
- Workflow Automation — List and create work items, projects, and tasks to keep track of every engagement
- Staff Visibility — Query users and firm members to identify assignees and team availability
- Note Inspection — Access historical notes and comments recorded against any contact profile
- Work Progress — Get detailed status updates and metadata for specific work items and associated tasks
The Karbon MCP Server exposes 12 tools through the Vinkius. Connect it to LlamaIndex 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 Karbon to LlamaIndex via MCP
Follow these steps to integrate the Karbon MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 12 tools from Karbon
Why Use LlamaIndex with the Karbon MCP Server
LlamaIndex provides unique advantages when paired with Karbon through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Karbon tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Karbon tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Karbon, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Karbon tools were called, what data was returned, and how it influenced the final answer
Karbon + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Karbon MCP Server delivers measurable value.
Hybrid search: combine Karbon real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Karbon to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Karbon for fresh data
Analytical workflows: chain Karbon queries with LlamaIndex's data connectors to build multi-source analytical reports
Karbon MCP Tools for LlamaIndex (12)
These 12 tools become available when you connect Karbon to LlamaIndex via MCP:
create_contact
Requires a name and contact type (Person or Organization). Create a new contact in Karbon
create_work_item
Requires a title and a work type. Create a new work item (project)
get_contact
Get detailed information for a specific contact
get_work_item
Get details for a specific work item
list_contact_notes
List notes for a specific contact
list_contacts
Useful for a broad overview of clients and associates. List all contacts (Organizations and People)
list_organizations
). List only organizational contacts
list_people
). List only individual people contacts
list_users
Use this to identify assignees or firm members. List all users in the Karbon firm
list_work_items
Use this to track firm workflows and engagements. List all work items (workflows)
list_work_tasks
List tasks for a specific work item
update_work_item
Update an existing work item
Example Prompts for Karbon in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Karbon immediately.
"List all my organizational contacts in Karbon."
"Show me the tasks for the work item with key 'WORK_123'."
"Create a new organization contact named 'Tech Pioneers'."
Troubleshooting Karbon MCP Server with LlamaIndex
Common issues when connecting Karbon to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpKarbon + LlamaIndex FAQ
Common questions about integrating Karbon MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect Karbon 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 Karbon to LlamaIndex
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.