Wave Accounting MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Wave Accounting as an MCP tool provider through the 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 Wave Accounting. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Wave Accounting?"
)
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 Wave Accounting MCP Server
Connect your Wave Accounting account to any AI agent and manage your business finances through natural conversation.
LlamaIndex agents combine Wave Accounting tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through the 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
- Customer Management — List all registered customers, create new profiles, and update contact information directly from your agent
- Invoice Lifecycle — Create draft invoices, approve them for sending, and monitor their payment status (DRAFT, SAVED, PAID)
- Deep Invoicing — Retrieve full details for any invoice, including line items, taxes, totals, and public payment URLs
- Financial Auditing — Browse your customer base and billing activity to stay on top of your accounts receivable
- Data Integrity — Safely delete unfinalized draft invoices or obsolete customer records through simple chat commands
- Business Insights — Quickly find unique customer and invoice IDs required for complex accounting workflows
The Wave Accounting MCP Server exposes 10 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 Wave Accounting to LlamaIndex via MCP
Follow these steps to integrate the Wave Accounting 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 10 tools from Wave Accounting
Why Use LlamaIndex with the Wave Accounting MCP Server
LlamaIndex provides unique advantages when paired with Wave Accounting through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Wave Accounting tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Wave Accounting tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Wave Accounting, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Wave Accounting tools were called, what data was returned, and how it influenced the final answer
Wave Accounting + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Wave Accounting MCP Server delivers measurable value.
Hybrid search: combine Wave Accounting real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Wave Accounting 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 Wave Accounting for fresh data
Analytical workflows: chain Wave Accounting queries with LlamaIndex's data connectors to build multi-source analytical reports
Wave Accounting MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Wave Accounting to LlamaIndex via MCP:
approve_draft_invoice
Finalizes a draft invoice, moving it to an unpaid/saved status
create_accounting_customer
Provide name and email. Creates a new customer record in Wave
create_draft_invoice
Provide a customer ID and a JSON array of items. Creates a new draft invoice in Wave
delete_accounting_customer
This action is irreversible. Permanently deletes a customer record
delete_draft_invoice
Saved or paid invoices cannot be deleted via this endpoint. Permanently deletes an unfinalized draft invoice
get_customer_details
Retrieves details for a specific customer in Wave
get_invoice_details
Retrieves full details for a specific Wave invoice
list_accounting_customers
Lists customers registered in the Wave Accounting business
list_accounting_invoices
). Lists invoices issued by the Wave business
update_customer_profile
Provide the unique customer ID. Updates the profile of an existing customer
Example Prompts for Wave Accounting in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Wave Accounting immediately.
"List all my customers in Wave Accounting."
"Create a new customer for 'John Doe' with email 'john@example.com'."
"What is the status of my latest invoices?"
Troubleshooting Wave Accounting MCP Server with LlamaIndex
Common issues when connecting Wave Accounting to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpWave Accounting + LlamaIndex FAQ
Common questions about integrating Wave Accounting 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 Wave Accounting 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 Wave Accounting to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.