MarketMan 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 MarketMan 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 MarketMan. "
"You have 8 tools available."
),
)
response = await agent.run(
"What tools are available in MarketMan?"
)
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 MarketMan MCP Server
Connect your MarketMan account to any AI agent — the restaurant inventory intelligence platform.
LlamaIndex agents combine MarketMan 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
- Inventory — Real-time stock levels, par levels, and reorder alerts
- Purchase Orders — Track vendor orders, deliveries, and invoices
- Vendors — Supplier management with order history
- Recipes — Ingredient quantities, food cost, and margin analysis
- Waste — Spoilage tracking with cost impact
- Count Sheets — Inventory counts with variance tracking
The MarketMan 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 MarketMan to LlamaIndex via MCP
Follow these steps to integrate the MarketMan 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 MarketMan
Why Use LlamaIndex with the MarketMan MCP Server
LlamaIndex provides unique advantages when paired with MarketMan through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine MarketMan tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain MarketMan tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query MarketMan, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what MarketMan tools were called, what data was returned, and how it influenced the final answer
MarketMan + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the MarketMan MCP Server delivers measurable value.
Hybrid search: combine MarketMan real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query MarketMan 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 MarketMan for fresh data
Analytical workflows: chain MarketMan queries with LlamaIndex's data connectors to build multi-source analytical reports
MarketMan MCP Tools for LlamaIndex (8)
These 8 tools become available when you connect MarketMan to LlamaIndex via MCP:
get_count_sheets
Get inventory count sheets
get_restaurant_info
Get restaurant info
get_waste_events
For waste reduction. Get waste events
list_categories
With item counts. List inventory categories
list_inventory
"Are we low on anything?" List inventory items
list_purchase_orders
List purchase orders
list_recipes
For menu engineering. List recipes
list_vendors
For vendor management. List vendors
Example Prompts for MarketMan in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with MarketMan immediately.
"Are we low on any inventory items?"
"Draft a purchase order for our primary produce vendor."
"What is the current food cost percentage for our signature burger?"
Troubleshooting MarketMan MCP Server with LlamaIndex
Common issues when connecting MarketMan to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpMarketMan + LlamaIndex FAQ
Common questions about integrating MarketMan 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 MarketMan 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 MarketMan to LlamaIndex
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.