How to Use the Moneybird MCP in LlamaIndex

Q: Can LlamaIndex search through Moneybird purchase invoices?

Yes, your agent can call listpurchaseinvoices to gather expense data. LlamaIndex indexes these documents, allowing you to run semantic searches over past vendor bills.

Q: Does LlamaIndex support filtering Moneybird contacts?

Yes, your agent can use listcontacts to retrieve customer profiles. It can then filter or index these contacts to ground its responses in actual customer accounting IDs.

Index your Moneybird ledger and invoice data directly into LlamaIndex vector stores for semantic financial search.

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Connect Moneybird MCP to LlamaIndex

Create your Vinkius account to connect Moneybird 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 Moneybird with LlamaIndex

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Index ledger data for LlamaIndex semantic search

`list_ledger_accounts` outputs your entire chart of accounts directly into LlamaIndex documents. Your LlamaIndex agent indexes these accounts to answer complex operational questions without manual Moneybird exports. By combining this with `list_purchase_invoices`, your RAG pipeline matches incoming receipts to the correct Moneybird categories. The LlamaIndex agent searches past transactions to classify new expenses accurately.

Query sales history with LlamaIndex RAG

`list_invoices` feeds raw sales data into your LlamaIndex knowledge base for real-time querying. Your LlamaIndex agent queries this index to find Moneybird payment trends, outstanding balances, or customer purchasing history. You can pull specific invoice details via `get_invoice` to resolve customer billing disputes within LlamaIndex. The agent reads the actual Moneybird invoice lines to explain charges to your support team.

Analyze estimates and recurring billing

`list_estimates` retrieves your active business quotes to build a searchable pipeline index in LlamaIndex. Your LlamaIndex agent parses these Moneybird estimates to forecast incoming cash flow based on historical close rates. `list_recurring_invoices` lets your LlamaIndex agent track predictable revenue streams. This MCP server handles recurring templates to flag Moneybird accounts that are due for renewals or price adjustments.

Setup guide

Set up Moneybird 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 Moneybird 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 Moneybird tools.",
)
response = await agent.run("List recent Moneybird data")

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Moneybird. 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 Moneybird MCP in LlamaIndex

Use llama-index-tools-mcp to connect to the Vinkius MCP server. Call to_tool_list_async() to fetch tools like list_invoices and pass them to your agent to load data into your vector store.

Yes, your agent can call list_purchase_invoices to gather expense data. LlamaIndex indexes these documents, allowing you to run semantic searches over past vendor bills.

Yes, your agent can use list_contacts to retrieve customer profiles. It can then filter or index these contacts to ground its responses in actual customer accounting IDs.

By using this MCP server, the agent pulls fresh data directly from get_invoice or list_financial_mutations. This ensures its answers are grounded in real-time ledger facts rather than training data.

Your sales invoices and contact lists remain private. The Vinkius sandbox executes the Moneybird MCP server securely, ensuring your financial records travel only between the secure API and your local LlamaIndex instance.

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