Bring Marketing Automation
to LangChain
Create your Vinkius account to connect Iterable to LangChain and start using all 10 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the Iterable MCP Server?
Empower your AI agents to manage your cross-channel marketing with Iterable. This MCP server allows you to list campaigns, retrieve user profiles, track engagement metrics, manage contact lists, and view message templates directly through the Iterable API. Ideal for automating growth marketing and customer lifecycle management.
Built-in capabilities (10)
Returns message content, audience targeting, and scheduling settings. Use this to analyze the setup of a specific campaign. Retrieves details for a specific campaign
Essential for reporting on marketing ROI and audience engagement. Retrieves performance metrics for a specific campaign
Essential for deep intelligence on an individual subscriber. Retrieves details for a user by email
Returns campaign names, IDs, and statuses. Use this to identify active outreach efforts or locate a specific campaign ID. Lists all marketing campaigns
g., Marketing, Transactional). Essential for understanding the available paths for reaching users. Lists all communication channels
Useful for identifying segments and groups of users for targeted messaging. Lists all contact lists
g., "Weekly Newsletter", "Welcome Email") defined in the account. Useful for auditing message categorization. Lists all message types
) available in the account. Useful for identifying content assets used in campaigns. Lists all message templates
Useful for auditing system integrations and data exports. Lists all configured webhooks
Useful for monitoring automated marketing logic and identifying trigger-based campaigns. Lists all automation workflows
Why LangChain?
LangChain's ecosystem of 500+ components combines seamlessly with Iterable 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.
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The largest ecosystem of integrations, chains, and agents. combine Iterable MCP tools with 500+ LangChain components
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Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
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LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
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Memory and conversation persistence let agents maintain context across Iterable queries for multi-turn workflows
Iterable in LangChain
Why run Iterable with Vinkius?
The Iterable connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 10 tools are ready to work instantly without any complex setup.
You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.
* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure
Over 4,000 integrations ready for AI agents
Explore a vast library of pre-built integrations, optimized and ready to deploy.
Connect securely in under 30 seconds
Generate tokens to authenticate and link external services in a single step.
Complete visibility into every agent action
Audit live requests, latency, success rates, and active security compliance policies.
Optimize spending and track token ROI
Analyze real-time token consumption and cost metrics detailed by connection.
Explore our live AI Agents Analytics dashboard to see it all working
This dashboard is included when you connect Iterable using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
Iterable and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect Iterable to LangChain through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.
Raw MCP | Vinkius | |
|---|---|---|
| Ready-to-use MCPs | Find and configure each manually | 4,000+ MCPs ready to use |
| Connection Setup | Manual coding & server setup | 1-click instant connection |
| Server Hosting | You host it yourself (needs 24/7 uptime) | 100% hosted & managed by Vinkius |
| Security & Privacy | Stored in plaintext config files | Bank-grade encrypted vault |
| Activity Visibility | Blind execution (no logs or tracking) | Live dashboard with real-time logs |
| Cost Control | Runaway AI token spend risk | Automatic budget limits |
| Revoking Access | Must delete files or code to stop | 1-click disconnect button |
How Vinkius secures
Iterable for LangChain
Every request between LangChain and Iterable is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.
Frequently asked questions
How do I get Iterable API credentials?
Log in to your Iterable project, navigate to Integrations > API Keys, and generate a new API Key. Note your project's data center (US or EU).
Which data centers are supported?
This MCP supports both US-based (api.iterable.com) and EU-based (api.eu.iterable.com) Iterable projects.
Can I see real-time campaign metrics?
Yes, the get_campaign_metrics tool provides access to performance data like opens, clicks, and conversions for your campaigns.
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.
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.
MultiServerMCPClient not found
Install: pip install langchain-mcp-adapters
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