3,400+ MCP servers ready to use
Vinkius
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Bring Business Banking
to LlamaIndex

Learn how to connect Mercury to LlamaIndex and start using 8 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

Get AccountGet BalanceList AccountsList CardsList CustomersList InvoicesList RecipientsList Transactions
Use with Your AI Agent
Ask AI about this MCP Server
ChatGPT Claude Perplexity

What is the Mercury MCP Server?

Connect your Mercury banking account to any AI agent and manage startup finances through natural conversation.

What you can do

  • Account Management — Access balances across all checking and savings accounts
  • Transactions — Browse and filter recent transactions and transfers
  • Statements — Retrieve monthly account statements
  • Cash Flow — Track incoming revenue and outgoing expenses
  • Recipient Management — Access saved wire and ACH recipients

How it works

1. Subscribe to this server
2. Enter your Mercury API Token
3. Start managing your finances from Claude, Cursor, or any MCP-compatible client

Who is this for?

  • Founders — check runway and cash flow quickly
  • Finance Teams — automate transaction categorization and reconciliation
  • Developers — build internal financial dashboards

Built-in capabilities (8)

get_account

Get details for a specific Mercury account

get_balance

Get account balance

list_accounts

List Mercury bank accounts

list_cards

List Mercury debit cards

list_customers

List invoicing customers

list_invoices

List account receivable invoices

list_recipients

List payment recipients

list_transactions

List transactions for an account

Why LlamaIndex?

LlamaIndex agents combine Mercury tool responses with indexed documents for comprehensive, grounded answers. Connect 8 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.

  • —

    Data-first architecture: LlamaIndex agents combine Mercury tool responses with indexed documents for comprehensive, grounded answers

  • —

    Query pipeline framework lets you chain Mercury tool calls with transformations, filters, and re-rankers in a typed pipeline

  • —

    Multi-source reasoning: agents can query Mercury, a vector store, and a SQL database in a single turn and synthesize results

  • —

    Observability integrations show exactly what Mercury tools were called, what data was returned, and how it influenced the final answer

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See it in action

Mercury in LlamaIndex

AI Agent→Vinkius
High Security·Kill Switch·Plug and Play
Why Vinkius

Mercury and 3,400+ other MCP servers. One platform. One governance layer.

Teams that connect Mercury to LlamaIndex through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.

3,400+MCP Servers ready
<40msCold start
60%Token savings
Raw MCP
Vinkius
Server catalogFind and host yourself3,400+ managed
InfrastructureSelf-hostedSandboxed V8 isolates
Credential handlingPlaintext in configVault + runtime injection
Data loss preventionNoneConfigurable DLP policies
Kill switchNoneGlobal instant shutdown
Financial circuit breakersNonePer-server limits + alerts
Audit trailNoneEd25519 signed logs
SIEM log streamingNoneSplunk, Datadog, Webhook
HoneytokensNoneCanary alerts on leak
Custom domainsNot applicableDNS challenge verified
GDPR complianceManual effortAutomated purge + export
Use with Your AI Agent View step-by-step setup guide for LlamaIndex →
Enterprise Security

Why teams choose Vinkius for Mercury in LlamaIndex

The Mercury 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. All 8 tools execute in hardened sandboxes optimized for native MCP execution.

Your AI agents in LlamaIndex only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

Use with Your AI Agent View full Mercury details →
Mercury
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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

The Vinkius Advantage

How Vinkius secures Mercury for LlamaIndex

Every tool call from LlamaIndex to the Mercury MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start
Ed25519Signed audit chain
60%Token savings
FAQ

Frequently asked questions

01

Can I view balances and recent transactions?

Yes. You can query balances for all accounts and list recent incoming/outgoing transactions.

02

How does Mercury authentication work?

Mercury uses a Bearer token (API Token) against api.mercury.com/api/v1. Tokens must be generated with read-only scopes.

03

Can I initiate money transfers via the API?

The standard API token allows read-only access to balances and transactions for security reasons.

04

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

05

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Mercury tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.

06

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.

07

BasicMCPClient not found

Install: pip install llama-index-tools-mcp