How to Use the Kit (ConvertKit) MCP in LlamaIndex
Index your Kit (ConvertKit) subscribers and campaigns into LlamaIndex for semantic search.
Works with every AI agent you already use
…and any MCP-compatible client
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.
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.
Set up Kit (ConvertKit) MCP in LlamaIndex
Prerequisites
- Python 3.10+ installed
-
llama-index-tools-mcppackage - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package providesBasicMCPClientandMcpToolSpec. - 2
Connect with BasicMCPClient
Point
BasicMCPClientto your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports. - 3
Convert to LlamaIndex tools
Call
mcp_tool_spec.to_tool_list_async()to convert all Kit (ConvertKit) MCP tools into nativeFunctionToolobjects that any LlamaIndex agent can use. - 4
Run with any LLM
Create a
FunctionAgentwith the tools and your preferred LLM. SwapOpenAIforAnthropic,Gemini, or any LlamaIndex-supported provider.
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") Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Kit. 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 Kit (ConvertKit) MCP in LlamaIndex
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
Start using the Kit (ConvertKit) MCP today
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