3,400+ MCP servers ready to use
Vinkius

EasySendy MCP Server for LangChainGive LangChain instant access to 11 tools to Add Multiple Subscribers, Add Subscriber, Create List, and more

Built by Vinkius GDPR 11 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect EasySendy 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 App Connector for LangChain

The EasySendy app connector for LangChain is a standout in the Productivity category — giving your AI agent 11 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

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({
        "easysendy": {
            "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 EasySendy, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())
EasySendy
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 EasySendy MCP Server

Connect your EasySendy account to any AI agent and take full control of your email marketing lists and subscriber engagement workflows through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with EasySendy through native MCP adapters. Connect 11 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

  • Audience Orchestration — Create and manage email subscriber lists programmatically, including retrieving detailed metadata and custom tags
  • Subscriber Lifecycle — Programmatically add, update, or remove subscribers from lists and manage detailed profiles directly from your agent
  • Batch Intelligence — Perform large-scale subscriber imports and batch operations to streamline your high-volume marketing campaigns
  • Engagement Control — Programmatically unsubscribe users or manage opt-in types (single/double) to ensure high-fidelity list hygiene and compliance
  • Field Customization — Retrieve and manage custom contact fields and tags to maintain a structured and personalized communication ecosystem

The EasySendy MCP Server exposes 11 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.

All 11 EasySendy tools available for LangChain

When LangChain connects to EasySendy through Vinkius, your AI agent gets direct access to every tool listed below — spanning easysendy, email-marketing, subscribers-api, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

add_multiple_subscribers

Input should be an array of subscriber objects. Add multiple subscribers to a list

add_subscriber

Requires the List UID and at least an EMAIL address. Add a single subscriber to a list

create_list

Create a new subscriber list

delete_list

Delete a subscriber list

delete_subscriber

Delete a subscriber from a list

get_list_fields

Get custom fields/tags for a list

get_subscriber_details

Get details for a specific subscriber

list_all_lists

List all subscriber lists

unsubscribe_user

Unsubscribe a user from a list

update_list

Update an existing subscriber list

update_subscriber

Update an existing subscriber

Connect EasySendy to LangChain via MCP

Follow these steps to wire EasySendy into LangChain. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save the code and run python agent.py
04

Explore tools

The agent discovers 11 tools from EasySendy via MCP

Why Use LangChain with the EasySendy MCP Server

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

01

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

02

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

03

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

04

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

EasySendy + LangChain Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for EasySendy in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with EasySendy immediately.

01

"List all my email subscriber lists in EasySendy."

02

"Add subscriber 'john.doe@example.com' to list UID 'abc-123'."

03

"Find subscriber details for 'sarah@example.com' in list 'abc-123'."

Troubleshooting EasySendy MCP Server with LangChain

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

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

EasySendy + LangChain FAQ

Common questions about integrating EasySendy MCP Server with LangChain.

01

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.
02

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.
03

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.