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How to Use the Kit (ConvertKit) MCP in LlamaIndex

Index your Kit (ConvertKit) subscribers and campaigns into LlamaIndex for semantic search.

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LlamaIndex

Connect Kit (ConvertKit) MCP to LlamaIndex

Create your Vinkius account to connect Kit (ConvertKit) 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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Turn the Kit MCP Server into a knowledge base

The Kit (ConvertKit) MCP Server transforms your email marketing data into searchable vectors. LlamaIndex executes `list_email_sequences` and `list_optin_forms`, then embeds the results straight into your index. Your RAG application stops guessing about campaign names. When you ask your agent about current funnels, it queries the index, retrieves the exact form IDs, and grounds its response in live API data.

Query specific subscriber histories

This server provides `get_subscriber_details` and `search_subscriber_by_id` so your LlamaIndex setup can pull individual user profiles. You pass an ID, and the agent retrieves their custom fields, tags, and sequence states. This gets powerful when combined with your internal documents. The agent pulls a support ticket from your database, matches the email, and uses the Kit tools to check if that user is tagged as a VIP.

Synthesize account growth metrics

Your LlamaIndex agent calls `get_account_growth_summary` and `list_subscribers` to build reports. It pulls the raw subscriber counts and feeds them into a synthesis prompt. You ask the agent how the list grew this week. It fetches the macro metrics, checks recent tags applied via `list_all_tags`, and writes a summary based on hard numbers instead of hallucinated trends.

Setup guide

Set up Kit (ConvertKit) 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 Kit (ConvertKit) 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 Kit (ConvertKit) tools.",
)
response = await agent.run("List recent Kit (ConvertKit) data")

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Common questions about Kit (ConvertKit) MCP in LlamaIndex

Install `llama-index-tools-mcp`. Initialize a `BasicMCPClient` with the server URL, wrap it in `McpToolSpec`, and call `to_tool_list_async()` to pass the tools to your `FunctionAgent`.
Yes. The agent can execute `update_subscriber` to change custom fields. It reads context from your documents and applies metadata changes directly to the user profile.
Use the allowed tools filter when setting up your `McpToolSpec`. You can expose tools for reading data while blocking write operations like `add_subscriber_to_form`.
It indexes the tool outputs into your vector store. You control the TTL. If you want fresh data, you prompt the agent to explicitly call the tool again rather than searching the index.
The server touches subscriber metadata, including names and email sequences. Vinkius enforces a zero-trust architecture where the MCP client authenticates via a single endpoint token, and no persistence layers exist between API calls.

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