Cardly MCP Server for LlamaIndex 9 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Cardly 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 Cardly. "
"You have 9 tools available."
),
)
response = await agent.run(
"What tools are available in Cardly?"
)
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 Cardly MCP Server
Connect your Cardly account to any AI agent and orchestrate your personalized gifting, customer appreciation, and physical mail workflows through natural conversation.
LlamaIndex agents combine Cardly tool responses with indexed documents for comprehensive, grounded answers. Connect 9 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 — Place real orders for physical greeting cards with custom messages and designs directly from your workspace.
- Design Oversight — Browse your custom artwork library and retrieve detailed metadata for individual designs.
- Order Preview — Generate a watermarked PDF preview of your card to verify content and layout before sending.
- Contact Coordination — Access and manage your contact lists and add new recipients to your address book.
- Global Shipping — Send cards to recipients in the US, Australia, UK, and worldwide with automatic address validation.
- API Verification — Verify your connection and API key status instantly using the echo tool.
The Cardly MCP Server exposes 9 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 Cardly to LlamaIndex via MCP
Follow these steps to integrate the Cardly 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 9 tools from Cardly
Why Use LlamaIndex with the Cardly MCP Server
LlamaIndex provides unique advantages when paired with Cardly through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Cardly tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Cardly tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Cardly, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Cardly tools were called, what data was returned, and how it influenced the final answer
Cardly + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Cardly MCP Server delivers measurable value.
Hybrid search: combine Cardly real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Cardly 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 Cardly for fresh data
Analytical workflows: chain Cardly queries with LlamaIndex's data connectors to build multi-source analytical reports
Cardly MCP Tools for LlamaIndex (9)
These 9 tools become available when you connect Cardly to LlamaIndex via MCP:
add_contact_to_list
Add a new contact to a specific list
find_contact
Search for a contact in a list by email
get_account_info
Retrieve core account information
get_artwork_details
Get details of a specific piece of artwork
list_card_artwork
List available greeting card designs/artwork
list_contact_lists
List all contact lists in your account
place_greeting_card_order
Place a real order for a physical greeting card
preview_greeting_card
Generate a preview of a greeting card without placing a real order
verify_api_connection
Verify connectivity and API key validity
Example Prompts for Cardly in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Cardly immediately.
"List all the available greeting card designs in my account."
"Preview a card with artwork art_1 and message 'Happy Birthday John!'."
"Send a thank you card to Jane Smith in Australia."
Troubleshooting Cardly MCP Server with LlamaIndex
Common issues when connecting Cardly to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpCardly + LlamaIndex FAQ
Common questions about integrating Cardly 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 Cardly 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 Cardly to LlamaIndex
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.