Postscript MCP Server for LangChainGive LangChain instant access to 12 tools to Create Subscriber, Create Webhook, Delete Webhook, and more
LangChain is the leading Python framework for composable LLM applications. Connect Postscript 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 Postscript app connector for LangChain is a standout in the Industry Titans category — giving your AI agent 12 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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({
"postscript": {
"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 Postscript, 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 Postscript MCP Server
Connect your Postscript account to any AI agent and take full control of your SMS marketing orchestration through natural conversation. Postscript is the leading SMS platform for Shopify stores, and this integration allows you to retrieve subscriber metadata, monitor campaign performance, and manage automated keywords directly from your chat interface.
LangChain's ecosystem of 500+ components combines seamlessly with Postscript through native MCP adapters. Connect 12 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
- Subscriber & Audience Orchestration — List all managed SMS subscribers and retrieve detailed profile metadata programmatically to ensure your outreach is always synchronized.
- Campaign & Flow Intelligence — Access and monitor your SMS campaigns and automated flows (like abandoned cart recovery) directly from the AI interface to track engagement metrics.
- Keyword & Opt-in Control — List and search through your mobile keywords to maintain a clear overview of your subscription sources via natural language.
- Operational Monitoring — Track system responses and manage webhook metadata using simple AI commands.
- Account Visibility — Access high-level account and plan metadata to ensure your SMS operations are always optimized.
The Postscript MCP Server exposes 12 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 12 Postscript tools available for LangChain
When LangChain connects to Postscript through Vinkius, your AI agent gets direct access to every tool listed below — spanning sms-marketing, mms-marketing, shopify-integration, 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.
Note: Compliance rules apply. Subscribe a new user
Create a new webhook
Delete a webhook
Get account details
Get campaign details
Get subscriber details
g., Abandoned Cart). List SMS automations
List SMS campaigns
List SMS keywords
List all SMS subscribers
List active webhooks
Update subscriber info
Connect Postscript to LangChain via MCP
Follow these steps to wire Postscript into LangChain. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
pip install langchain langchain-mcp-adapters langgraph langchain-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
python agent.pyExplore tools
Why Use LangChain with the Postscript MCP Server
LangChain provides unique advantages when paired with Postscript through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Postscript 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 Postscript queries for multi-turn workflows
Postscript + LangChain Use Cases
Practical scenarios where LangChain combined with the Postscript MCP Server delivers measurable value.
RAG with live data: combine Postscript tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Postscript, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Postscript tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Postscript tool call, measure latency, and optimize your agent's performance
Example Prompts for Postscript in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Postscript immediately.
"List all active SMS subscribers in Postscript."
"Show me the performance of all active SMS campaigns with conversion rates and revenue attribution."
"Create a new SMS campaign targeting customers who purchased in the last 30 days but have not reordered."
Troubleshooting Postscript MCP Server with LangChain
Common issues when connecting Postscript to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersPostscript + LangChain FAQ
Common questions about integrating Postscript 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.