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 LangChain 10 tools — connect in under 2 minutes

Name: Cakemail
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Cakemail through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

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 langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "cakemail": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Cakemail, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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* 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 Cakemail MCP Server

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

LangChain's ecosystem of 500+ components combines seamlessly with Cakemail through native MCP adapters. Connect 10 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain via MCP

Follow these steps to integrate the Cakemail MCP Server with LangChain.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 10 tools from Cakemail via MCP

Why Use LangChain with the Cakemail MCP Server

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

The largest ecosystem of integrations, chains, and agents. combine Cakemail MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across Cakemail queries for multi-turn workflows

Cakemail + LangChain Use Cases

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

RAG with live data: combine Cakemail tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Cakemail, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Cakemail tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Cakemail tool call, measure latency, and optimize your agent's performance

Cakemail MCP Tools for LangChain (10)

These 10 tools become available when you connect Cakemail to LangChain 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 LangChain

Ready-to-use prompts you can give your LangChain 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 LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Cakemail + LangChain FAQ

Common questions about integrating Cakemail MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.