Invoiced 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 Invoiced 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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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 Invoiced. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Invoiced?"
)
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 Invoiced MCP Server
Empower your AI agents to manage your billing and payments lifecycle with Invoiced. This MCP server allows you to list customers, retrieve invoice details, track payments, and view subscription plans directly through the Invoiced API. Ideal for automating accounts receivable and financial operations.
LlamaIndex agents combine Invoiced tool responses with indexed documents for comprehensive, grounded answers. Connect 10 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.
The Invoiced 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 Invoiced to LlamaIndex via MCP
Follow these steps to integrate the Invoiced 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 Invoiced
Why Use LlamaIndex with the Invoiced MCP Server
LlamaIndex provides unique advantages when paired with Invoiced through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Invoiced tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Invoiced tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Invoiced, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Invoiced tools were called, what data was returned, and how it influenced the final answer
Invoiced + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Invoiced MCP Server delivers measurable value.
Hybrid search: combine Invoiced real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Invoiced 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 Invoiced for fresh data
Analytical workflows: chain Invoiced queries with LlamaIndex's data connectors to build multi-source analytical reports
Invoiced MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Invoiced to LlamaIndex via MCP:
get_customer
Returns contact info, balance data, and payment settings. Use for deep intelligence on a customer before billing interactions. Retrieves details for a specific customer
get_invoice
Essential for auditing specific billings or providing customer support. Retrieves details for a specific invoice
list_coupons
Useful for auditing marketing incentives. Lists all active discount coupons
list_customers
Returns customer names, account numbers, and IDs. Use this as the main starting point for managing receivables or identifying specific clients. Lists all customers in Invoiced
list_invoices
Includes invoice numbers, amounts, and statuses. Essential for monitoring accounts receivable and overall revenue flow. Lists all invoices
list_items
Includes item codes, descriptions, and unit prices. Useful for auditing the available billing inventory. Lists all items in your catalog
list_payments
Returns payment methods, amounts, and transaction IDs. Use this to audit revenue collection and reconcile bank statements. Lists all payments received
list_plans
g., Monthly SaaS, Annual Support). Useful for auditing subscription-based business models. Lists all defined subscription plans
list_subscriptions
Essential for monitoring long-term customer commitments and MRR (Monthly Recurring Revenue). Lists all active customer subscriptions
list_tax_rates
Essential for auditing compliance and understanding how taxes are applied to invoices. Lists all defined tax rates
Example Prompts for Invoiced in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Invoiced immediately.
"List all active customers in Invoiced."
"Show me the last 5 invoices generated."
"Check the status of invoice number 'INV-789'."
Troubleshooting Invoiced MCP Server with LlamaIndex
Common issues when connecting Invoiced to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpInvoiced + LlamaIndex FAQ
Common questions about integrating Invoiced 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 Invoiced 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 Invoiced to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.