Hiveage MCP Server for LlamaIndex 12 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Hiveage as an MCP tool provider through 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 Hiveage. "
"You have 12 tools available."
),
)
response = await agent.run(
"What tools are available in Hiveage?"
)
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 Hiveage MCP Server
Connect your Hiveage account to any AI agent and take full control of your online invoicing, estimates, and customer network through natural conversation.
LlamaIndex agents combine Hiveage tool responses with indexed documents for comprehensive, grounded answers. Connect 12 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.
What you can do
- Invoicing Oversight — List all invoices, retrieve detailed billing data using unique hash keys, and monitor payment status.
- Estimate Management — Access your quotations and estimates history to stay on top of pending deals.
- Payment Recording — Manually record payments against invoices directly from the chat interface.
- Customer Network — List and inspect connections (customers/vendors) in your business network.
- Document Delivery — Send invoices to your customers via email with a single command.
- Tax & Item Visibility — List saved billing items and tax profiles to ensure accurate invoicing.
The Hiveage MCP Server exposes 12 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 Hiveage to LlamaIndex via MCP
Follow these steps to integrate the Hiveage 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 12 tools from Hiveage
Why Use LlamaIndex with the Hiveage MCP Server
LlamaIndex provides unique advantages when paired with Hiveage through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Hiveage tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Hiveage tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Hiveage, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Hiveage tools were called, what data was returned, and how it influenced the final answer
Hiveage + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Hiveage MCP Server delivers measurable value.
Hybrid search: combine Hiveage real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Hiveage 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 Hiveage for fresh data
Analytical workflows: chain Hiveage queries with LlamaIndex's data connectors to build multi-source analytical reports
Hiveage MCP Tools for LlamaIndex (12)
These 12 tools become available when you connect Hiveage to LlamaIndex via MCP:
get_api_profile
Retrieve information about the authenticated account
get_customer_details
Get detailed profile information for a network connection
get_estimate_details
Get detailed information about a specific estimate
get_invoice_details
Get detailed information about a specific invoice
list_billing_items
List saved items and services used for invoicing
list_customers
List all connections (customers/vendors) in your network
list_estimates
List all estimates (quotations) in Hiveage
list_invoice_payments
List all payments recorded for a specific invoice
list_invoices
Use this to monitor billing and find hash keys for specific invoice actions. List all invoices in your Hiveage account
list_tax_profiles
List all configured tax profiles
record_payment
Pass details as a JSON string in "body_json" (requires amount, date, and payment_method). Record a manual payment against an invoice
send_invoice_email
Deliver an invoice to the customer via email
Example Prompts for Hiveage in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Hiveage immediately.
"List all unpaid invoices and their total amounts."
"Record a cash payment of $500 for invoice hash 'kiLDAgtGzNpaAQ'."
"Show me the details for the estimate with key 'ests_992'."
Troubleshooting Hiveage MCP Server with LlamaIndex
Common issues when connecting Hiveage to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpHiveage + LlamaIndex FAQ
Common questions about integrating Hiveage 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 Hiveage 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 Hiveage to LlamaIndex
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.