BILL Spend & Expense MCP Server for LlamaIndex 5 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add BILL Spend & Expense as an MCP tool provider through the 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 BILL Spend & Expense. "
"You have 5 tools available."
),
)
response = await agent.run(
"What tools are available in BILL Spend & Expense?"
)
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 BILL Spend & Expense MCP Server
Connect your BILL Spend & Expense (formerly Divvy) account to any AI agent and orchestrate your corporate spending through natural conversation.
LlamaIndex agents combine BILL Spend & Expense tool responses with indexed documents for comprehensive, grounded answers. Connect 5 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
- Budget Oversight — List and inspect active budgets to track spending against limits.
- Card Management — View virtual and physical cards assigned to employees.
- Transaction Auditing — Retrieve real-time transactions and merchant data.
- User Management — List employees and review their roles.
- Reimbursement Tracking — Check the status of out-of-pocket expense claims.
The BILL Spend & Expense MCP Server exposes 5 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 BILL Spend & Expense to LlamaIndex via MCP
Follow these steps to integrate the BILL Spend & Expense 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 5 tools from BILL Spend & Expense
Why Use LlamaIndex with the BILL Spend & Expense MCP Server
LlamaIndex provides unique advantages when paired with BILL Spend & Expense through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine BILL Spend & Expense tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain BILL Spend & Expense tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query BILL Spend & Expense, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what BILL Spend & Expense tools were called, what data was returned, and how it influenced the final answer
BILL Spend & Expense + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the BILL Spend & Expense MCP Server delivers measurable value.
Hybrid search: combine BILL Spend & Expense real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query BILL Spend & Expense 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 BILL Spend & Expense for fresh data
Analytical workflows: chain BILL Spend & Expense queries with LlamaIndex's data connectors to build multi-source analytical reports
BILL Spend & Expense MCP Tools for LlamaIndex (5)
These 5 tools become available when you connect BILL Spend & Expense to LlamaIndex via MCP:
list_budgets
List all budgets
list_cards
List all cards
list_reimbursements
List all reimbursements
list_transactions
List recent transactions
list_users
List all users
Example Prompts for BILL Spend & Expense in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with BILL Spend & Expense immediately.
"List all active budgets."
"Show recent transactions."
"List pending reimbursements."
Troubleshooting BILL Spend & Expense MCP Server with LlamaIndex
Common issues when connecting BILL Spend & Expense to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpBILL Spend & Expense + LlamaIndex FAQ
Common questions about integrating BILL Spend & Expense 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 BILL Spend & Expense with your favorite client
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Connect BILL Spend & Expense to LlamaIndex
Get your token, paste the configuration, and start using 5 tools in under 2 minutes. No API key management needed.