How to Use the Moneybird MCP in LlamaIndex

Q: Can LlamaIndex search through my uploaded Moneybird receipts?

Yes. The agent can pull raw receipt data using listexpensereceipts, index the metadata, and run semantic queries to find specific business expenses.

Q: How do I filter which tools the MCP Server can access in LlamaIndex?

Use the allowedtools filter when setting up your McpToolSpec to limit your agent's access to safe tools like listcatalogproducts while blocking modification tools.

Index Moneybird accounting data into LlamaIndex to run semantic searches on your invoices and transactions.

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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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Semantic search on Moneybird financial data

This MCP Server connects your live accounting records directly to your vector index. LlamaIndex pulls records using `list_sales_invoices` and `list_purchase_invoices`, converting raw invoice data into searchable vectors. You can query your past transactions using natural language instead of filtering databases manually. The system indexes the actual line items, customer names, and payment terms. This lets your agent answer complex questions about your cash flow based on real financial data, eliminating guesswork.

Grounding LlamaIndex RAG with real-time tax data

This MCP Server prevents AI hallucinations by grounding answers in your actual tax records. Your LlamaIndex agent runs `list_tax_rates` and `list_ledger_accounts` to fetch real-time Dutch tax rules directly from your account. It uses this live data to answer questions about tax liabilities. Instead of relying on outdated training data, your agent references your exact accounting setup. This ensures every tax calculation and ledger category recommendation matches your actual business structure. Simple enough.

Context-aware CRM and product lookups

This MCP Server lets your agent retrieve customer history and product details during active chat sessions. The agent runs `list_crm_contacts` to pull up-to-date customer files and `list_catalog_products` to check pricing. It combines these details to draft new transactions. When you ask the agent to prepare a quote, it uses `create_sales_invoice` with the exact product codes and contact IDs it found in your index. Look, this keeps your sales pipeline fast and error-free.

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

Install llama-index-tools-mcp and initialize the client. Call to_tool_list_async() to fetch the tools, then run them to pull data from list_sales_invoices directly into your document index.

Yes. The agent can pull raw receipt data using list_expense_receipts, index the metadata, and run semantic queries to find specific business expenses.

Yes. You can load the tools asynchronously using the LlamaIndex tool spec, allowing your agent to query list_financial_mutations and list_ledger_accounts at the same time.

Use the allowed_tools filter when setting up your McpToolSpec to limit your agent's access to safe tools like list_catalog_products while blocking modification tools.

Absolutely. Your customer records and ledger details are processed locally in an ephemeral V8 sandbox. No database credentials or contact lists are stored or sent to external servers.

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