Bolt MCP Server for LangChain 10 tools — connect in under 2 minutes
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.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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())
* 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.
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 Bolt via MCP
Why Use LangChain with the Bolt MCP Server
LangChain provides unique advantages when paired with Bolt through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Bolt 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 Bolt queries for multi-turn workflows
Bolt + LangChain Use Cases
Practical scenarios where LangChain combined with the Bolt MCP Server delivers measurable value.
RAG with live data: combine Bolt tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Bolt, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Bolt tools with web scrapers, databases, and calculators in a single agent run
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:
capture_transaction
Capture a previously authorized transaction
create_order_token
Create an order token to initiate checkout
get_account_details
Get current account details
get_merchant_status
Check the current merchant account status
get_order_details
Get details of a specific order
get_transaction
Get details of a specific transaction
list_transactions
List recent Bolt transactions
list_webhooks
List configured webhooks
refund_transaction
Issue a refund for a completed transaction
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.
"List the last 5 transactions in my Bolt account."
"Refund $20.00 for transaction reference ABC-123."
"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.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersBolt + LangChain FAQ
Common questions about integrating Bolt MCP Server with LangChain.
How does LangChain connect to MCP servers?
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?
Can I trace MCP tool calls in LangSmith?
Connect Bolt 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 Bolt to LangChain
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
