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How to Use the AMcards MCP in LlamaIndex

Index your physical mailing history into LlamaIndex to ground your agent's outreach in actual data.

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LlamaIndex

Connect AMcards MCP to LlamaIndex

Create your Vinkius account to connect AMcards to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Index your AMcards mailing history in LlamaIndex

Stop guessing what you sent to your clients. This MCP Server lets your LlamaIndex pipeline fetch your entire card log with `get_card_sending_history` and store it directly in your vector database. When your agent drafts a new message, it queries this index first. This ensures your custom physical cards never repeat the same message or use the wrong tone.

Match LlamaIndex queries to active AMcards campaigns

Keep your automated and manual touchpoints aligned. Your agent can check active outreach sequences using `list_drip_campaigns` and search against them to see if a customer is already queued for a card. If they aren't in a sequence, your agent executes `trigger_drip_campaign` to enroll them. This keeps your physical mailings highly relevant and prevents spamming your contacts with redundant mail.

Dynamic template selection inside LlamaIndex RAG loops

Let your data dictate the design of your physical mail. Your agent pulls your available layouts with `list_card_templates` and compares them against your indexed customer profile data to find the best match. Once the perfect design is identified, the agent uses `send_greeting_card` to dispatch the physical mail. This turns static customer data into highly targeted, physical touchpoints.

Setup guide

Set up AMcards MCP in LlamaIndex

Prerequisites

  • Python 3.10+ installed
  • llama-index-tools-mcp package
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

    Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.

  2. 2

    Connect with BasicMCPClient

    Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.

  3. 3

    Convert to LlamaIndex tools

    Call mcp_tool_spec.to_tool_list_async() to convert all AMcards MCP tools into native FunctionTool objects that any LlamaIndex agent can use.

  4. 4

    Run with any LLM

    Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to AMcards tools.",
)
response = await agent.run("List recent AMcards data")

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by AMcards. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about AMcards MCP in LlamaIndex

Install `llama-index-tools-mcp` and initialize the `BasicMCPClient` with your Vinkius URL. Wrap it in `McpToolSpec` and convert it to a tool list for your `FunctionAgent`.
Yes, you can index the output of `get_card_sending_history` into your vector store. Your agent queries this vector index before drafting a new card to ensure the message is completely unique.
Your agent can run `check_api_health` as a preliminary step in its query pipeline. This ensures the connection is active before attempting any indexing or card delivery operations.
Yes, you can use the allowed tools filter when defining your `McpToolSpec`. This lets you restrict your agent to read-only actions like checking history, blocking it from sending cards.
Your recipient names and mailing addresses are processed entirely within ephemeral V8 sandboxes. No personal data from your physical mail runs is cached or stored on the hosting platform.

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