How to Use the Mercury MCP in LangChain

Q: Can LangChain agents handle multi-step actions with Mercury tools?

Yes. Your agent can call listaccounts to find the right account, then immediately run getaccount to pull specific details in a single execution loop.

Q: How does LangSmith help debug my Mercury LangChain integration?

It tracks every call to Mercury tools like listtransactions and shows you the exact payload returned to your LangChain agent. You see the latency, token count, and raw JSON response for every execution.

Connect your Mercury bank accounts to LangChain agents for autonomous financial tracking and multi-step reasoning using this MCP Server.

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Connect Mercury MCP to LangChain

Create your Vinkius account to connect Mercury to LangChain and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Mercury with LangChain

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Chain Mercury MCP tools with LangChain agents

The `get_balance` tool lets your LangChain agent pull live financial data and feed it directly into your decision chains. Your agent reads the balance, decides if a payment is safe, and pulls `list_recipients` to prepare the next step in one run. You get full visibility through LangSmith tracing to watch how your chain executes. Monitor every single tool call, check the exact inputs, and debug latency issues without guessing.

Build multi-step financial reasoning pipelines

The `list_transactions` tool supplies raw ledger data directly to your LangChain sequential chains. Your agent can pull transactions, compare them against `list_invoices`, and flag mismatches automatically. Instead of running isolated scripts, you build pipelines where the output of one tool dictates the next action. The agent handles the conditional logic dynamically based on real-time bank data.

Audit corporate card activity on the fly

The `list_cards` tool exposes active debit card data to your LangChain agent for instant compliance checks. You can build chains that cross-reference active cards against custom spending rules or team rosters. This setup lets your agent flag unauthorized card usage or identify inactive cards that need cancellation. You write the logic once, and the agent monitors your Mercury account autonomously.

Setup guide

Set up Mercury MCP in LangChain

Prerequisites

Python 3.10+ installed
langchain-mcp-adapters + langgraph packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChain BaseTool objects.
2

Connect via HTTP transport
Use MultiServerMCPClient with "transport": "http" pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create a ReAct agent
Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes Mercury tool calls through the MCP protocol.
4

Run with any LLM
Swap ChatOpenAI for ChatAnthropic, ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.

agent.py

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

async with MultiServerMCPClient({
    "mercury-alternative-mcp": {
        "transport": "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,
    )
    result = await agent.ainvoke({
        "messages": "List recent Mercury transactions"
    })
    print(result["messages"][-1].content)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Mercury. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

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Common questions about Mercury MCP in LangChain

Install the langchain-mcp-adapters package and use the MultiServerMCPClient to feed Mercury accounts into your agent. Pass the retrieved tools directly into your agent constructor to start querying Mercury bank balances.

Yes. Your agent can call `list_accounts` to find the right account, then immediately run `get_account` to pull specific details in a single execution loop.

It tracks every call to Mercury tools like `list_transactions` and shows you the exact payload returned to your LangChain agent. You see the latency, token count, and raw JSON response for every execution.

Yes. You can run LangChain chains that fetch internal sales data and cross-reference it with live Mercury data from `list_invoices`.

Absolutely. Your Mercury bank balances, card lists, and transaction histories are isolated within a V8 sandbox on Vinkius. This MCP architecture ensures no Mercury credentials or sensitive account numbers are stored or exposed to external networks.

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