TextYess MCP Server for LangChainGive LangChain instant access to 12 tools to Get Campaign Analytics, Get Campaign Conversions, Get Campaigns Delivery Status, and more
LangChain is the leading Python framework for composable LLM applications. Connect TextYess 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 TextYess app connector for LangChain is a standout in the Productivity 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({
"textyess": {
"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 TextYess, 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 TextYess MCP Server
Connect your TextYess account to any AI agent and simplify how you manage your AI-driven sales, WhatsApp marketing campaigns, and conversational commerce analytics through natural conversation.
LangChain's ecosystem of 500+ components combines seamlessly with TextYess 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
- Campaign Management — List all WhatsApp marketing campaigns and retrieve detailed analytics including opens, clicks, and revenue.
- Order Tracking — Monitor conversational commerce sales by listing all orders processed through AI agents or campaigns.
- Product Sync Oversight — List and inspect products synced from your e-commerce platform (Shopify, etc.) to your TextYess catalog.
- Agent Interaction Monitoring — List and review recent customer conversations with your AI shopping agent to ensure quality.
- Integration Control — List connected e-commerce platforms and verify active webhooks for product and order sync.
- Organizational Insights — Retrieve metadata for your organization and user profile directly from the agent.
The TextYess 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 TextYess tools available for LangChain
When LangChain connects to TextYess through Vinkius, your AI agent gets direct access to every tool listed below — spanning conversational-commerce, whatsapp-marketing, ai-sales-agent, 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.
Get analytics for a specific campaign
List orders generated by a campaign
Check campaigns deliverability
Get authenticated user profile
Get organization information
Get details for a specific product
List AI agent interactions
List all conversational commerce orders
List active webhooks
List connected e-commerce platforms
List WhatsApp marketing campaigns
List all synced products
Connect TextYess to LangChain via MCP
Follow these steps to wire TextYess 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 TextYess MCP Server
LangChain provides unique advantages when paired with TextYess through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine TextYess 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 TextYess queries for multi-turn workflows
TextYess + LangChain Use Cases
Practical scenarios where LangChain combined with the TextYess MCP Server delivers measurable value.
RAG with live data: combine TextYess tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query TextYess, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain TextYess tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every TextYess tool call, measure latency, and optimize your agent's performance
Example Prompts for TextYess in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with TextYess immediately.
"List all active marketing campaigns in my TextYess account."
"Show me the revenue generated by the 'Abandoned Cart' campaign (ID: camp_10293)."
"List the last 3 customer conversations with the AI shopping agent."
Troubleshooting TextYess MCP Server with LangChain
Common issues when connecting TextYess to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersTextYess + LangChain FAQ
Common questions about integrating TextYess 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.