Can I check the total number of contacts in a list using the agent?

Yes! Use the `get_contact_list` tool with the List ID. Your agent will fetch the detailed metadata, which includes the `total_contacts` field for that specific list.

How do I add a new contact to an existing list?

Simply ask the agent to `create_contact` and provide the List ID and the email address. The contact will be added to your Cakemail list instantly.

Does the integration allow creating a new campaign?

Yes. Use the `create_campaign` action and provide the name and subject. Your agent will create the campaign in your Cakemail account, allowing you to finalize the content later.

Cakemail MCP Server for LlamaIndex 10 tools — connect in under 2 minutes

Name: Cakemail
Availability: InStock
Author: Vinkius

docs.llamaindex.ai/en/stable/module_guides/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Cakemail as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

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 Cakemail. "
            "You have 10 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Cakemail?"
    )
    print(response)

asyncio.run(main())

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About Cakemail MCP Server

Connect your Cakemail account to any AI agent and orchestrate your email marketing, subscriber management, and campaign tracking through natural conversation.

LlamaIndex agents combine Cakemail tool responses with indexed documents for comprehensive, grounded answers. Connect 10 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

List Oversight — List all your contact lists and retrieve detailed metadata, including total contact counts.
Campaign Management — List all email campaigns and retrieve detailed metadata, including subjects and statuses.
Subscriber Coordination — List contacts within specific lists and add new subscribers directly from your workspace.
Analytics Tracking — Retrieve recent analytics logs to monitor your email performance.
Account Insights — Access your core profile information and account settings straight from your workspace.
Deep Dives — Get detailed data for specific list or campaign IDs using natural language.

The Cakemail MCP Server exposes 10 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 Cakemail to LlamaIndex via MCP

Follow these steps to integrate the Cakemail 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 10 tools from Cakemail

Why Use LlamaIndex with the Cakemail MCP Server

LlamaIndex provides unique advantages when paired with Cakemail through the Model Context Protocol.

Data-first architecture: LlamaIndex agents combine Cakemail tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain Cakemail tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query Cakemail, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what Cakemail tools were called, what data was returned, and how it influenced the final answer

Cakemail + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the Cakemail MCP Server delivers measurable value.

Hybrid search: combine Cakemail real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query Cakemail 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 Cakemail for fresh data

Analytical workflows: chain Cakemail queries with LlamaIndex's data connectors to build multi-source analytical reports

Cakemail MCP Tools for LlamaIndex (10)

These 10 tools become available when you connect Cakemail to LlamaIndex via MCP:

create_campaign

Create a new email campaign

create_contact

Add a contact to a list

create_contact_list

Create a new contact list

get_account_info

Retrieve core account information

get_analytics

Retrieve recent analytics logs

get_campaign

Get details of a specific campaign

get_contact_list

Get details of a specific contact list

list_campaigns

List all email campaigns

list_contact_lists

List all contact lists

list_contacts

List contacts in a specific list

Example Prompts for Cakemail in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with Cakemail immediately.

"List all my contact lists in Cakemail."

"Show the last 5 email campaigns."

"Add john.doe@example.com to the 'Newsletter' list."

Troubleshooting Cakemail MCP Server with LlamaIndex

Common issues when connecting Cakemail to LlamaIndex through the Vinkius, and how to resolve them.

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Cakemail + LlamaIndex FAQ

Common questions about integrating Cakemail MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Cakemail tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.