Highnote MCP Server for LlamaIndex 11 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Highnote 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 Highnote. "
"You have 11 tools available."
),
)
response = await agent.run(
"What tools are available in Highnote?"
)
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 Highnote MCP Server
Connect your Highnote card platform to any AI agent and take full control of your card issuance, financial accounts, and ledger through natural conversation.
LlamaIndex agents combine Highnote tool responses with indexed documents for comprehensive, grounded answers. Connect 11 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
- Account Holder Oversight — List and retrieve details for individuals and businesses holding accounts in your program.
- Card Management — List virtual and physical cards, monitor their operational status, and freeze or close them directly from the chat.
- Financial Account Monitoring — Access real-time balances and metadata for all your financial ledger accounts.
- Transaction Tracking — List and inspect recent spending and processing transactions with detailed merchant metadata.
- Ledger Insights — Retrieve individual ledger entries for reconciliation and audit purposes.
- Program Visibility — List all available card products and programs configured in your Highnote account.
The Highnote MCP Server exposes 11 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 Highnote to LlamaIndex via MCP
Follow these steps to integrate the Highnote 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 11 tools from Highnote
Why Use LlamaIndex with the Highnote MCP Server
LlamaIndex provides unique advantages when paired with Highnote through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Highnote tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Highnote tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Highnote, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Highnote tools were called, what data was returned, and how it influenced the final answer
Highnote + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Highnote MCP Server delivers measurable value.
Hybrid search: combine Highnote real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Highnote 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 Highnote for fresh data
Analytical workflows: chain Highnote queries with LlamaIndex's data connectors to build multi-source analytical reports
Highnote MCP Tools for LlamaIndex (11)
These 11 tools become available when you connect Highnote to LlamaIndex via MCP:
get_api_profile
Retrieve information about the authenticated API user
get_financial_account
Get detailed balance and metadata for a specific financial account
get_payment_card_details
Get detailed information for a specific card
get_transaction_details
Get detailed metadata for a specific transaction
list_account_holders
Use this to find the unique ID for a person or business. List individuals and businesses who hold accounts in Highnote
list_card_products
List the different card programs (e.g., Consumer, Fleet) available in your Highnote account
list_financial_accounts
List all financial accounts and their current balances
list_financial_transactions
List recent spending and processing transactions
list_ledger_entries
Useful for reconciliation. List individual ledger entries for a financial account
list_payment_cards
Monitor card status and expiration details. List virtual and physical cards issued in your program
update_card_status
Valid statuses: ACTIVE, FROZEN, CLOSED. Change the status of a card (e.g., ACTIVE, FROZEN, CLOSED)
Example Prompts for Highnote in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Highnote immediately.
"List all financial accounts and show their current balances."
"Show the last 5 transactions for card ending in 4492."
"Freeze card ID 'card_992' immediately."
Troubleshooting Highnote MCP Server with LlamaIndex
Common issues when connecting Highnote to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpHighnote + LlamaIndex FAQ
Common questions about integrating Highnote 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 Highnote 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 Highnote to LlamaIndex
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.