Flowcode 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 Flowcode 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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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 Flowcode. "
"You have 12 tools available."
),
)
response = await agent.run(
"What tools are available in Flowcode?"
)
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 Flowcode MCP Server
Connect your Flowcode account to any AI agent and automate your offline-to-online marketing through the Model Context Protocol (MCP). Flowcode is the leading platform for dynamic QR codes and conversion-optimized landing pages (Flowpages). Now, you can create new codes, monitor scan performance, and retrieve deep audience analytics directly through natural conversation.
LlamaIndex agents combine Flowcode 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
- Dynamic QR Management — List all your Flowcodes, fetch detailed metadata, and create new dynamic codes with instant redirect capabilities.
- Scan Analytics — Monitor real-time scan performance, conversion rates, and detailed scan activity logs to optimize your campaigns.
- Flowpage Oversight — Retrieve real-time event data for your landing pages and access CRM contact information submitted via Flowpage forms.
- Audience Insights — Fetch aggregate demographic and geographic analytics to understand where and how your audience is engaging.
- Asset Organization — List campaigns and asset folders to maintain a clear structure across your marketing projects.
- Image Generation — Retrieve specific Flowcode image data or download links directly from the agent.
- Custom Conversions — Track conversion rates from scan to visit to ensure your marketing funnel is performing optimally.
The Flowcode 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 Flowcode to LlamaIndex via MCP
Follow these steps to integrate the Flowcode 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 Flowcode
Why Use LlamaIndex with the Flowcode MCP Server
LlamaIndex provides unique advantages when paired with Flowcode through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Flowcode tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Flowcode tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Flowcode, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Flowcode tools were called, what data was returned, and how it influenced the final answer
Flowcode + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Flowcode MCP Server delivers measurable value.
Hybrid search: combine Flowcode real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Flowcode 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 Flowcode for fresh data
Analytical workflows: chain Flowcode queries with LlamaIndex's data connectors to build multi-source analytical reports
Flowcode MCP Tools for LlamaIndex (12)
These 12 tools become available when you connect Flowcode to LlamaIndex via MCP:
create_flowcode
Create a dynamic QR code
get_audience_summary
Get audience demographics
get_flowcode
Get Flowcode details
get_flowcode_image
Generate QR code image
get_flowpage_analytics
Get landing page events
get_flowpage_contacts
Get CRM contacts
get_geographic_analytics
Get scan locations
get_recent_scans
List scan activity log
list_campaigns
List marketing campaigns
list_conversion_rates
Get funnel analytics
list_flowcodes
List all Flowcodes
list_folders
List asset folders
Example Prompts for Flowcode in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Flowcode immediately.
"List my 10 most recent Flowcodes and their scan counts."
"Create a new Flowcode named 'Store Launch' redirecting to 'https://vinkius.com'."
"Show me the audience demographic summary for my account."
Troubleshooting Flowcode MCP Server with LlamaIndex
Common issues when connecting Flowcode to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpFlowcode + LlamaIndex FAQ
Common questions about integrating Flowcode 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 Flowcode 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 Flowcode to LlamaIndex
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.
