Bring Sms Marketing
to LangChain
Learn how to connect Salesquared to LangChain and start using 11 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the Salesquared MCP Server?
Connect your Salesquared account to any AI agent and take full control of your multi-channel business communication through natural conversation. Salesquared provides a unified platform for SMS marketing, voice orchestration, and lead management, and this integration allows you to send automated messages, trigger voice OTPs, and manage your sales database directly from your chat interface.
What you can do
- SMS & Messaging Orchestration — Send individual or bulk SMS messages programmatically to ensure your outreach is always synchronized.
- Voice & OTP Intelligence — Trigger automated voice calls and send secure voice OTPs directly from the AI interface to verify user identities.
- Lead & Campaign Control — List and manage your lead database and monitor active marketing campaigns via natural language.
- Email Validation & Data Quality — Verify email addresses programmatically to maintain high deliverability rates and ensure your contact data is accurate.
- Operational Monitoring — Access conference call controls and retrieve system metadata using simple AI commands to streamline your communications.
How it works
1. Subscribe to this server
2. Enter your Salesquared API Key from your account settings
3. Start managing your communications and leads from Claude, Cursor, or any MCP-compatible client
No more manual texting or switching between telephony tools. Your AI acts as a dedicated communications manager or sales automation coordinator.
Who is this for?
- Sales & Marketing Teams — quickly send promotional SMS and monitor campaign responses without switching apps.
- Support & Operations — automate the delivery of voice OTPs and validate customer emails via natural conversation.
- Developers — integrate multi-channel communication capabilities into custom AI-driven business workflows.
Built-in capabilities (11)
Mute or unmute a participant
Create audio from text
Create a new lead
Create a voice survey
Get details for a specific campaign
Get lead details
List campaigns
List all leads
Send an SMS message
Send a Voice OTP
Validate an email address
Why LangChain?
LangChain's ecosystem of 500+ components combines seamlessly with Salesquared through native MCP adapters. Connect 11 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 largest ecosystem of integrations, chains, and agents. combine Salesquared 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 Salesquared queries for multi-turn workflows
Salesquared in LangChain
Salesquared and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Salesquared 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 Salesquared in LangChain
The Salesquared 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 11 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
Salesquared for LangChain
Every tool call from LangChain to the Salesquared MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can my AI automatically send a Voice OTP to verify a user's mobile number?
Yes! Use the send_voice_otp tool. Provide the mobile number and the OTP code, and your agent will trigger an automated call to deliver the security code instantly.
How do I find my Salesquared API Key?
Log in to your Salesquared dashboard, navigate to the API or Developer section, and you will find your unique secret API Key there.
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
