Goflow MCP Server for LlamaIndex 12 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Goflow as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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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 Goflow. "
"You have 12 tools available."
),
)
response = await agent.run(
"What tools are available in Goflow?"
)
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 Goflow MCP Server
Connect your Goflow account to your AI agent and take control of your multichannel e-commerce operations. From inventory tracking to order fulfillment, manage your store directly through natural conversation.
LlamaIndex agents combine Goflow tool responses with indexed documents for comprehensive, grounded answers. Connect 12 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
- Order Management — List all current orders, filter by status (pending, ready to ship), and deep-dive into individual order details
- Inventory Tracking — Fetch real-time stock levels across all your warehouses and adjust quantities as needed directly from the chat
- Product & Listing Visibility — Browse your entire product catalog and see active listings on marketplaces like Amazon, Walmart, and Shopify
- Customer & Shipment Monitoring — View customer profiles and track shipment status to stay on top of your fulfillment pipeline
- Operational Reports — List and access system-generated reports for fast, data-driven operational decisions
The Goflow MCP Server exposes 12 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 Goflow to LlamaIndex via MCP
Follow these steps to integrate the Goflow 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 12 tools from Goflow
Why Use LlamaIndex with the Goflow MCP Server
LlamaIndex provides unique advantages when paired with Goflow through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Goflow tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Goflow tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Goflow, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Goflow tools were called, what data was returned, and how it influenced the final answer
Goflow + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Goflow MCP Server delivers measurable value.
Hybrid search: combine Goflow real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Goflow 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 Goflow for fresh data
Analytical workflows: chain Goflow queries with LlamaIndex's data connectors to build multi-source analytical reports
Goflow MCP Tools for LlamaIndex (12)
These 12 tools become available when you connect Goflow to LlamaIndex via MCP:
get_customer
Get detailed info for a specific customer
get_inventory
Check stock levels in Goflow
get_order
Get details for a specific Goflow order
get_store_stats
Get a summary of recent store activity
list_customers
List customer records from Goflow
list_listings
List marketplace listings (Amazon, Walmart, etc.)
list_orders
List Goflow orders
list_products
List products in Goflow
list_reports
List available reports
list_shipments
List shipments and tracking info
list_webhooks
List active webhooks in Goflow
update_inventory
Adjust inventory stock levels
Example Prompts for Goflow in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Goflow immediately.
"List the 10 most recent orders that are ready to ship."
"Check the inventory level for SKU 'TSHIRT-XL-BLUE'."
"Show me the details of order GF-93021."
Troubleshooting Goflow MCP Server with LlamaIndex
Common issues when connecting Goflow to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpGoflow + LlamaIndex FAQ
Common questions about integrating Goflow 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 Goflow 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 Goflow to LlamaIndex
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.