Freshmarketer MCP Server for LangChain 10 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Freshmarketer through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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({
"freshmarketer": {
"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 Freshmarketer, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
asyncio.run(main())
* 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 Freshmarketer MCP Server
Connect your Freshmarketer account (part of the Freshsales Suite) to any AI agent to automate your marketing operations through the Model Context Protocol (MCP). Freshmarketer helps you engage your audience with personalized email campaigns and automated journeys. This MCP server enables you to manage your contact database, organize mailing lists, and trigger transactional emails directly through natural conversation.
LangChain's ecosystem of 500+ components combines seamlessly with Freshmarketer 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.
Key Features
- Contact Management — List all marketing contacts, retrieve detailed profiles, and create or update contacts instantly.
- Audience Segmentation — Access and list your configured mailing lists to understand how your audience is segmented.
- Transactional Emails — Trigger specific transactional campaigns to individual contacts directly from the chat interface.
- Journey Insights — Monitor your active and paused marketing automation journeys.
- Event Tracking — Post custom events to a contact's timeline to programmatically trigger specific automation flows.
- Real-time Data Sync — Keep your marketing data synchronized with your CRM seamlessly.
The Freshmarketer 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 Freshmarketer to LangChain via MCP
Follow these steps to integrate the Freshmarketer 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 Freshmarketer via MCP
Why Use LangChain with the Freshmarketer MCP Server
LangChain provides unique advantages when paired with Freshmarketer through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Freshmarketer 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 Freshmarketer queries for multi-turn workflows
Freshmarketer + LangChain Use Cases
Practical scenarios where LangChain combined with the Freshmarketer MCP Server delivers measurable value.
RAG with live data: combine Freshmarketer tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Freshmarketer, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Freshmarketer tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Freshmarketer tool call, measure latency, and optimize your agent's performance
Freshmarketer MCP Tools for LangChain (10)
These 10 tools become available when you connect Freshmarketer to LangChain via MCP:
check_account_status
Verify API status
create_mailing_list
Create new mailing list
get_contact_details
Get contact metadata
list_contacts
List marketing contacts
list_custom_events
List configured events
list_journeys
List marketing journeys
list_mailing_lists
List mailing lists
post_custom_event
Trigger custom event
send_transactional_email
Trigger an email
upsert_contact
Create or update contact
Example Prompts for Freshmarketer in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Freshmarketer immediately.
"List my 5 most recent marketing contacts."
"Show me all active mailing lists in my account."
"Trigger the 'Welcome Email' (Campaign ID: 123) for 'newuser@example.com'."
Troubleshooting Freshmarketer MCP Server with LangChain
Common issues when connecting Freshmarketer to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersFreshmarketer + LangChain FAQ
Common questions about integrating Freshmarketer MCP Server with LangChain.
How does LangChain connect to MCP servers?
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?
Can I trace MCP tool calls in LangSmith?
Connect Freshmarketer with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Freshmarketer to LangChain
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
