How to Use Cashboard MCP Server with LlamaIndex using Vinkius

Give LlamaIndex instant access to 8 tools to Get Cashboard Account, List Active Projects, List Business Expenses, and more using Vinkius.

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LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Cashboard as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

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The Cashboard MCP Server for LlamaIndex is a standout in the Productivity category, giving your AI agent 8 tools to work with, ready to go from day one.

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python

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 Cashboard. "
            "You have 8 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Cashboard?"
    )
    print(response)

asyncio.run(main())

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About Cashboard MCP Server

Connect your Cashboard account to any AI agent and take full control of your freelance or small business operations through natural conversation. Simplify time tracking and client invoicing.

LlamaIndex was built to ground AI in data. When you connect Cashboard through Vinkius, 8 tools combine with indexed documents, vector stores, and SQL databases in a single query turn. The agent does not choose between historical knowledge and live operations. It uses both. Ask a question that requires last quarter's report and today's API response, and LlamaIndex delivers a single, comprehensive, grounded answer. This is the architecture for hybrid intelligence: indexed depth meets operational breadth.

What you can do

Invoicing Oversight. List and retrieve details for all client invoices and estimates natively
Time Tracking. Access recent time tracking entries to monitor project progress and billable hours
Expense Management. List business expenses and associate them with specific projects securely
Project Control. Monitor active projects and tasks to make sure delivery timelines are met flawlessly
Contact Management. List client and staff contacts to maintain smooth communication
Account Visibility. Retrieve core account and subscription information directly within your workspace

The Cashboard MCP Server exposes 8 tools through Vinkius. Connect it to LlamaIndex in under two minutes. Fully managed, no infrastructure to provision, no vendor lock-in.

8 tools included

Explore every tool Cashboard exposes to LlamaIndex through Vinkius.

View all 8 tools

Connect Cashboard to LlamaIndex via MCP

Follow these steps to connect Cashboard to LlamaIndex. The setup takes under two minutes and requires no coding or server hosting.

Get your Vinkius Access Token

Go to cloud.vinkius.com to log in or create a free account, and retrieve your personal access token from the dashboard. This token is required to authenticate your connection to the hosted Cashboard MCP server.

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 8 tools from Cashboard

Why Use LlamaIndex with the Cashboard MCP Server

LlamaIndex provides unique advantages when paired with Cashboard through the Model Context Protocol.

Cashboard tools through Vinkius combine with indexed documents, vector stores, and SQL databases in a single query turn. Live operational data meets historical knowledge in one answer

Query pipeline framework chains Cashboard tool calls from Vinkius with transformations, filters, and re-rankers. Each step is typed, testable, and composable

Sub-question decomposition breaks complex queries into targeted Cashboard tool calls through Vinkius, executes them in parallel, and synthesizes a unified answer from all results

Data-first architecture grounds every response in actual Cashboard data from Vinkius. The AI does not hallucinate what it can verify through a live tool call

Cashboard + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the Cashboard MCP Server delivers measurable value.

Hybrid search: combine Cashboard real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query Cashboard 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 Cashboard for fresh data

Analytical workflows: chain Cashboard queries with LlamaIndex's data connectors to build multi-source analytical reports

Example Prompts for Cashboard in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with Cashboard immediately.

"Show me my last 5 invoices in Cashboard."

"What are my active projects right now?"

"List my business expenses from the last 30 days."

Troubleshooting Cashboard MCP Server with LlamaIndex

Common issues when connecting Cashboard to LlamaIndex through Vinkius, and how to resolve them.

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Cashboard + LlamaIndex FAQ

Common questions about integrating Cashboard MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Cashboard tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.

01 / Catalog

Over 4,000 integrations ready for AI agents

Explore a vast library of pre-built integrations, optimized and ready to deploy.

02 / Credentials

Connect securely in under 30 seconds

Generate tokens to authenticate and link external services in a single step.

03 / Guardian

Complete visibility into every agent action

Audit live requests, latency, success rates, and active security compliance policies.

04 / FinOps

Optimize spending and track token ROI

Analyze real-time token consumption and cost metrics detailed by connection.

Over 4,000 integrations ready for AI agents

Complete visibility into every agent action

Explore our live AI Agents Analytics dashboard to see it all working

This dashboard is included when you connect Cashboard using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.

Explore Analytics

Connect Cashboard with your favorite client

Also available for these clients and frameworks: