Chargeblast MCP Server for LlamaIndex 8 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Chargeblast as an MCP tool provider through 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 Chargeblast. "
"You have 8 tools available."
),
)
response = await agent.run(
"What tools are available in Chargeblast?"
)
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 Chargeblast MCP Server
Connect your Chargeblast account to any AI agent and take full control of your chargeback prevention and dispute management through natural conversation. Intercept disputes before they become chargebacks.
LlamaIndex agents combine Chargeblast tool responses with indexed documents for comprehensive, grounded answers. Connect 8 tools through 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
- Alert Oversight — List and retrieve details for all intercepted dispute alerts (CDRN, Ethoca, RDR) natively
- Status Management — Update alert statuses and mark disputes as refunded flawlessly
- Deflection Auditing — List and analyze logs of successfully blocked chargeback attempts securely
- Order Logistics — Upload order data to enable digital receipts and automatic deflections flawlessly
- Merchant Enrollment — List and manage enrolled merchants under your account in real-time
- Credit Requests — Trigger credit requests for specific dispute alerts directly within your workspace
The Chargeblast MCP Server exposes 8 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 Chargeblast to LlamaIndex via MCP
Follow these steps to integrate the Chargeblast 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 8 tools from Chargeblast
Why Use LlamaIndex with the Chargeblast MCP Server
LlamaIndex provides unique advantages when paired with Chargeblast through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Chargeblast tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Chargeblast tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Chargeblast, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Chargeblast tools were called, what data was returned, and how it influenced the final answer
Chargeblast + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Chargeblast MCP Server delivers measurable value.
Hybrid search: combine Chargeblast real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Chargeblast 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 Chargeblast for fresh data
Analytical workflows: chain Chargeblast queries with LlamaIndex's data connectors to build multi-source analytical reports
Chargeblast MCP Tools for LlamaIndex (8)
These 8 tools become available when you connect Chargeblast to LlamaIndex via MCP:
get_dispute_alert_details
Get details for a specific dispute alert
list_deflection_logs
List logs of chargeback attempts that were successfully blocked
list_dispute_alerts
List all chargeback alerts from your account
list_enrolled_merchants
List all merchants enrolled under your account
list_uploaded_orders
List order history uploaded for deflection
request_dispute_credit
Request a credit for a specific dispute alert
update_alert_status
Update the status of a dispute alert
upload_order_data
Upload order data to enable digital receipts and deflections
Example Prompts for Chargeblast in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Chargeblast immediately.
"Show me all active dispute alerts in Chargeblast."
"What is the status of alert ID 12345?"
"Show me the logs of chargebacks blocked today."
Troubleshooting Chargeblast MCP Server with LlamaIndex
Common issues when connecting Chargeblast to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpChargeblast + LlamaIndex FAQ
Common questions about integrating Chargeblast 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 Chargeblast 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 Chargeblast to LlamaIndex
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.