Inbox (useinbox.com) MCP Server for LangChain 10 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Inbox (useinbox.com) 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({
"inbox-useinboxcom": {
"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 Inbox (useinbox.com), 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 Inbox (useinbox.com) MCP Server
Empower your AI agents to manage your email marketing with UseINBOX. This MCP server allows you to list and retrieve campaigns, manage contact lists and subscribers, view newsletters, and track campaign reports directly through the UseINBOX API. Ideal for automating marketing operations and audience engagement.
LangChain's ecosystem of 500+ components combines seamlessly with Inbox (useinbox.com) 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.
The Inbox (useinbox.com) 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 Inbox (useinbox.com) to LangChain via MCP
Follow these steps to integrate the Inbox (useinbox.com) 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 Inbox (useinbox.com) via MCP
Why Use LangChain with the Inbox (useinbox.com) MCP Server
LangChain provides unique advantages when paired with Inbox (useinbox.com) through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Inbox (useinbox.com) 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 Inbox (useinbox.com) queries for multi-turn workflows
Inbox (useinbox.com) + LangChain Use Cases
Practical scenarios where LangChain combined with the Inbox (useinbox.com) MCP Server delivers measurable value.
RAG with live data: combine Inbox (useinbox.com) tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Inbox (useinbox.com), synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Inbox (useinbox.com) tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Inbox (useinbox.com) tool call, measure latency, and optimize your agent's performance
Inbox (useinbox.com) MCP Tools for LangChain (10)
These 10 tools become available when you connect Inbox (useinbox.com) to LangChain via MCP:
get_account
Gets your UseINBOX account details
get_campaign_report
Retrieves the performance report for a specific campaign
list_automations
Lists all marketing automations
list_campaigns
Lists all email campaigns
list_contact_lists
Lists all contact lists
list_contacts
Lists contacts within a specific list
list_newsletters
Lists all newsletters
list_senders
Lists all authorized email senders
list_templates
Lists all email templates
list_webhooks
Lists all configured webhooks
Example Prompts for Inbox (useinbox.com) in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Inbox (useinbox.com) immediately.
"List all my email campaigns in UseINBOX."
"Show me the contacts in my 'VIP Customers' list."
"Get the latest report for campaign ID '456'."
Troubleshooting Inbox (useinbox.com) MCP Server with LangChain
Common issues when connecting Inbox (useinbox.com) to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersInbox (useinbox.com) + LangChain FAQ
Common questions about integrating Inbox (useinbox.com) 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 Inbox (useinbox.com) 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 Inbox (useinbox.com) to LangChain
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.