Bring Conversational Commerce
to LangChain
Learn how to connect TextYess to LangChain and start using 12 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the 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.
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.
How it works
1. Subscribe to this server
2. Enter your TextYess API Key (found in your account dashboard)
3. Start managing your conversational commerce from Claude, Cursor, or any MCP client
Who is this for?
- E-commerce Managers — quickly check campaign revenue and monitor product stock levels via simple AI commands.
- Marketing Teams — analyze WhatsApp broadcast performance and verify conversion rates directly from the workspace.
- Business Owners — get instant bird's-eye views of conversational sales and AI agent interactions via the AI assistant.
Built-in capabilities (12)
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
Why LangChain?
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.
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The largest ecosystem of integrations, chains, and agents. combine TextYess 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 TextYess queries for multi-turn workflows
TextYess in LangChain
TextYess and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect TextYess to LangChain through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 3,400+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for TextYess in LangChain
The TextYess 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. All 12 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in LangChain only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* 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
How Vinkius secures
TextYess for LangChain
Every tool call from LangChain to the TextYess MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I see how much revenue a specific WhatsApp campaign generated?
Yes! Use the get_campaign_analytics tool and provide the Campaign ID. Your agent will retrieve detailed performance metrics including total revenue and number of orders.
How do I check the stock level for a product in my TextYess catalog?
Run the get_product_details query with your Product ID. The agent will retrieve the complete metadata, including current stock status synced from your e-commerce platform.
Is it possible to monitor recent interactions between customers and the AI agent?
Absolutely. Use the list_ai_conversations query. The agent will retrieve a log of recent interactions, allowing you to monitor the quality and flow of your conversational sales.
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