Instantly MCP Server for LangChain 10 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Instantly 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({
"instantly": {
"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 Instantly, 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 Instantly MCP Server
Connect Instantly to your AI agent and manage your high-volume cold email platform conversationally.
LangChain's ecosystem of 500+ components combines seamlessly with Instantly 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
- Campaign Management — Create, pause, resume, and monitor email campaigns with engagement metrics.
- Lead Management — Add, update, and search leads across campaigns with custom variables.
- Account Warm-up — Monitor email warm-up progress and deliverability scores across sending accounts.
- Analytics — Track opens, replies, bounces, and campaign-level performance in real time.
The Instantly 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 Instantly to LangChain via MCP
Follow these steps to integrate the Instantly 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 Instantly via MCP
Why Use LangChain with the Instantly MCP Server
LangChain provides unique advantages when paired with Instantly through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Instantly 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 Instantly queries for multi-turn workflows
Instantly + LangChain Use Cases
Practical scenarios where LangChain combined with the Instantly MCP Server delivers measurable value.
RAG with live data: combine Instantly tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Instantly, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Instantly tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Instantly tool call, measure latency, and optimize your agent's performance
Instantly MCP Tools for LangChain (10)
These 10 tools become available when you connect Instantly to LangChain via MCP:
add_leads
Add leads to a campaign
get_account_stats
Get account summary stats
get_campaign
Get campaign details
get_campaign_analytics
Get campaign analytics
list_accounts
List sending accounts
list_campaigns
List all campaigns
list_leads
List leads in a campaign
list_subsequences
List campaign subsequences
pause_campaign
Pause a campaign
resume_campaign
Resume a campaign
Example Prompts for Instantly in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Instantly immediately.
"What's the open rate on my 'SaaS Founders Q2' campaign?"
"Check warm-up status on all my sending accounts."
"Add 50 leads to the 'Enterprise Outreach' campaign."
Troubleshooting Instantly MCP Server with LangChain
Common issues when connecting Instantly to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersInstantly + LangChain FAQ
Common questions about integrating Instantly 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 Instantly 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 Instantly to LangChain
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
