ClearSale MCP Server for LlamaIndex 5 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add ClearSale 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 ClearSale. "
"You have 5 tools available."
),
)
response = await agent.run(
"What tools are available in ClearSale?"
)
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 ClearSale MCP Server
Connect your ClearSale account to any AI agent and take full control of your fraud prevention operations through natural conversation. Streamline how you monitor and analyze e-commerce transactions natively.
LlamaIndex agents combine ClearSale tool responses with indexed documents for comprehensive, grounded answers. Connect 5 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
- Order Oversight — Submit detailed order data for real-time fraud scoring and manual analysis natively
- Status Intelligence — Access and monitor the current fraud analysis status for any specific order ID flawlessly
- Manual Logistics — Update order statuses in ClearSale's system (e.g., Approved, Cancelled) securely
- History Tracking — List and review recently analyzed orders to understand fraud trends flawlessly
- Connectivity Logistics — Retrieve core account and connectivity metadata directly within your workspace flawlessly
- Decision Auditing — Retrieve detailed fraud scores and analysis reasons provided by ClearSale flawlessly
The ClearSale MCP Server exposes 5 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 ClearSale to LlamaIndex via MCP
Follow these steps to integrate the ClearSale 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 5 tools from ClearSale
Why Use LlamaIndex with the ClearSale MCP Server
LlamaIndex provides unique advantages when paired with ClearSale through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine ClearSale tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain ClearSale tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query ClearSale, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what ClearSale tools were called, what data was returned, and how it influenced the final answer
ClearSale + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the ClearSale MCP Server delivers measurable value.
Hybrid search: combine ClearSale real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query ClearSale 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 ClearSale for fresh data
Analytical workflows: chain ClearSale queries with LlamaIndex's data connectors to build multi-source analytical reports
ClearSale MCP Tools for LlamaIndex (5)
These 5 tools become available when you connect ClearSale to LlamaIndex via MCP:
get_clearsale_account_info
Retrieve core account connectivity information
get_order_fraud_status
Retrieve the current fraud analysis status for an order
list_recent_fraud_analyses
List recently analyzed orders
submit_order_fraud_analysis
Submit an order for real-time fraud analysis
update_clearsale_order_status
Update the status of an order in ClearSale (e.g. Cancelled, Approved)
Example Prompts for ClearSale in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with ClearSale immediately.
"Check the fraud status for order #ped_12345."
"List my last 5 fraud analyses."
"Mark order #ped_98765 as 'Cancelled' in ClearSale."
Troubleshooting ClearSale MCP Server with LlamaIndex
Common issues when connecting ClearSale to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpClearSale + LlamaIndex FAQ
Common questions about integrating ClearSale 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 ClearSale 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 ClearSale to LlamaIndex
Get your token, paste the configuration, and start using 5 tools in under 2 minutes. No API key management needed.