How do I get my Mercury API token?

Log in to your Mercury account at app.mercury.com. Go to **Settings → API Tokens** and click **Create Token**. Choose the token type (Read Only for balance checks, or Read and Write for managing recipients). Copy the token immediately — it will only be shown once. Paste it into the configuration field below, and you're ready. No code, no SDK, no webhooks.

Can my AI agent check my startup's runway instantly during a board meeting?

Absolutely. Just ask your AI agent 'What's my current balance across all Mercury accounts?' and it returns real-time balances for every account — checking, savings, and treasury — in seconds. No tab-switching, no logging in, no waiting for the dashboard to load.

What if I need to review recent transactions for month-end close?

Ask your AI agent to pull transactions from any date range. It retrieves each transaction with amount, counterparty, status, and date — perfect for reconciliation. You can filter by account, ask for Wire vs ACH breakdowns, or request only transactions above a specific threshold, all without exporting CSVs.

Is this suitable for companies with multiple Mercury accounts?

Yes. The integration retrieves data across all accounts linked to your API token — operating accounts, savings accounts, and treasury balances. Perfect for venture-backed startups managing multiple entities, holding companies, or finance teams tracking cash positions across subsidiaries.

Mercury MCP Server for LangChain 10 tools — connect in under 2 minutes

Name: Mercury
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Mercury through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "mercury": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Mercury, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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

About Mercury MCP Server

Connect your Mercury business banking account to your AI agent and manage your startup finances conversationally.

LangChain's ecosystem of 500+ components combines seamlessly with Mercury through native MCP adapters. Connect 10 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

What you can do

Account Balances — Check real-time balances across all your Mercury accounts instantly from your AI agent.
Transaction History — Pull recent transactions filtered by date, amount, or counterparty to track spending patterns.
Recipient Management — List, create, and manage payment recipients for ACH and wire transfers.
Account Details — Retrieve routing numbers, account numbers, and account metadata programmatically.

The Mercury MCP Server exposes 10 tools through the Vinkius. Connect it to LangChain 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 Mercury to LangChain via MCP

Follow these steps to integrate the Mercury MCP Server with LangChain.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 10 tools from Mercury via MCP

Why Use LangChain with the Mercury MCP Server

LangChain provides unique advantages when paired with Mercury through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine Mercury MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across Mercury queries for multi-turn workflows

Mercury + LangChain Use Cases

Practical scenarios where LangChain combined with the Mercury MCP Server delivers measurable value.

RAG with live data: combine Mercury tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Mercury, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Mercury tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Mercury tool call, measure latency, and optimize your agent's performance

Mercury MCP Tools for LangChain (10)

These 10 tools become available when you connect Mercury to LangChain via MCP:

create_recipient

Required for sending payments. Create a new payment recipient

get_account

Get bank account details

get_transaction

Get transaction details

get_treasury_balance

Get treasury balance overview

list_accounts

List all Mercury bank accounts

list_payments

List sent payments

list_recipients

List payment recipients

list_statements

List bank statements

list_team_members

List all team members

list_transactions

List recent transactions

Example Prompts for Mercury in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with Mercury immediately.

"What's the current balance on all my Mercury accounts?"

"Show me all transactions above $5,000 from this month."

"List all my payment recipients."

Troubleshooting Mercury MCP Server with LangChain

Common issues when connecting Mercury to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Mercury + LangChain FAQ

Common questions about integrating Mercury MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.