Can I send an email with HTML content and track whether it was delivered?

Absolutely. Use the `send_email` tool with your HTML body, then use `get_email` with the returned ID to check delivery status, open events, and bounce details in real time.

How do I check if my sending domain DNS records are correctly configured?

Run `list_domains` to find your domain ID, then use `get_domain` to inspect the full DNS record set (SPF, DKIM, return path). If records are pending, trigger `verify_domain` to re-check.

Can I add subscribers to an audience for broadcast campaigns?

Yes. First use `list_audiences` to get the target audience ID, then call `create_contact` with the subscriber's email and optional name fields. The contact is immediately available for broadcast targeting.

Resend MCP Server for LangChain 10 tools — connect in under 2 minutes

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

asyncio.run(main())

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 Resend MCP Server

Connect your Resend account to any AI agent and take full control of your email infrastructure through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with Resend 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

Send Emails — Dispatch transactional emails with HTML content, attachments, and reply-to headers instantly from your agent
Track Delivery — Retrieve complete delivery metadata, bounce information, and open/click analytics for any sent email
Domain Management — List verified sending domains, inspect DNS records (SPF/DKIM), and trigger verification checks
Audience & Contact Management — Browse audiences, list subscribers, and add new contacts programmatically for broadcast campaigns
Broadcast Campaigns — Monitor active broadcast campaigns, check delivery statuses, and audit mass email operations
API Key Auditing — List active API keys and their permission scopes to maintain security hygiene

The Resend 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 Resend to LangChain via MCP

Follow these steps to integrate the Resend 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 Resend via MCP

Why Use LangChain with the Resend MCP Server

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

The largest ecosystem of integrations, chains, and agents. combine Resend 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 Resend queries for multi-turn workflows

Resend + LangChain Use Cases

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

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

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

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

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

Resend MCP Tools for LangChain (10)

These 10 tools become available when you connect Resend to LangChain via MCP:

add_domain

Returns DNS records to configure. Add a new sending domain

create_contact

Add a contact to an audience

get_domain

Get domain details

get_email

Get email delivery status

list_api_keys

List all API keys

list_audiences

List email audiences

list_contacts

List contacts in an audience

list_domains

List verified sending domains

send_batch_emails

Each email needs from, to, subject, and html fields. Send batch of emails

send_email

Returns email ID for tracking delivery status. Send a transactional email

Example Prompts for Resend in LangChain

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

"Send a welcome email to john@example.com from our onboarding address."

"Show me all our verified sending domains and their DNS status."

"List all contacts in our newsletter audience."

Troubleshooting Resend MCP Server with LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Resend + LangChain FAQ

Common questions about integrating Resend 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.