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

Built by Vinkius GDPR 10 Tools Framework

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

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({
        "bolt": {
            "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 Bolt, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())
Bolt
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 Bolt MCP Server

Connect your Bolt Merchant account to any AI agent and orchestrate your checkout and payment workflows through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with Bolt 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

  • Transaction Oversight — List recent Bolt transactions and retrieve detailed metadata for individual payments.
  • Payment Lifecycle Management — Capture authorized transactions, void pending ones, and issue full or partial refunds.
  • Order Token Generation — Create order tokens to initiate secure one-click checkout sessions.
  • Shopper Intelligence — Retrieve account details and order history for authenticated shoppers.
  • Webhook Monitoring — List and audit configured webhooks to ensure real-time data sync.
  • Merchant Health Check — Retrieve the current status and configuration of your merchant account.

The Bolt 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 Bolt to LangChain via MCP

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

01

Install dependencies

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

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save the code and run python agent.py

04

Explore tools

The agent discovers 10 tools from Bolt via MCP

Why Use LangChain with the Bolt MCP Server

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

01

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

02

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

03

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

04

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

Bolt + LangChain Use Cases

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

01

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

02

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

03

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

04

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

Bolt MCP Tools for LangChain (10)

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

01

capture_transaction

Capture a previously authorized transaction

02

create_order_token

Create an order token to initiate checkout

03

get_account_details

Get current account details

04

get_merchant_status

Check the current merchant account status

05

get_order_details

Get details of a specific order

06

get_transaction

Get details of a specific transaction

07

list_transactions

List recent Bolt transactions

08

list_webhooks

List configured webhooks

09

refund_transaction

Issue a refund for a completed transaction

10

void_transaction

Void an authorized but uncaptured transaction

Example Prompts for Bolt in LangChain

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

01

"List the last 5 transactions in my Bolt account."

02

"Refund $20.00 for transaction reference ABC-123."

03

"Check the status of my Bolt merchant account."

Troubleshooting Bolt MCP Server with LangChain

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

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Bolt + LangChain FAQ

Common questions about integrating Bolt MCP Server with LangChain.

01

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.
02

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.
03

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.

Connect Bolt to LangChain

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.