Bolt MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Bolt as an MCP tool provider through the Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Bolt. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Bolt?"
)
print(response)
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.
LlamaIndex agents combine Bolt tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through the Vinkius and query live data alongside vector stores and SQL databases in a single turn — ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the Bolt MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 10 tools from Bolt
Why Use LlamaIndex with the Bolt MCP Server
LlamaIndex provides unique advantages when paired with Bolt through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Bolt tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Bolt tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Bolt, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Bolt tools were called, what data was returned, and how it influenced the final answer
Bolt + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Bolt MCP Server delivers measurable value.
Hybrid search: combine Bolt real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Bolt to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Bolt for fresh data
Analytical workflows: chain Bolt queries with LlamaIndex's data connectors to build multi-source analytical reports
Bolt MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Bolt to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting Bolt to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpBolt + LlamaIndex FAQ
Common questions about integrating Bolt MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
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 LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.