3,400+ MCP servers ready to use
Vinkius

Salesquared MCP Server for LangChainGive LangChain instant access to 11 tools to Conference Mute, Create Audio From Tts, Create Lead, and more

Built by Vinkius GDPR 11 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Salesquared 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 Salesquared app connector for LangChain is a standout in the Industry Titans category — giving your AI agent 11 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

python
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({
        "salesquared": {
            "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 Salesquared, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())
Salesquared
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 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.

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.

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.

The Salesquared MCP Server exposes 11 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 11 Salesquared tools available for LangChain

When LangChain connects to Salesquared through Vinkius, your AI agent gets direct access to every tool listed below — spanning sms-marketing, voice-calls, lead-management, 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.

conference_mute

Mute or unmute a participant

create_audio_from_tts

Create audio from text

create_lead

Create a new lead

create_voice_survey

Create a voice survey

get_campaign

Get details for a specific campaign

get_lead

Get lead details

list_campaigns

List campaigns

list_leads

List all leads

send_sms

Send an SMS message

send_voice_otp

Send a Voice OTP

validate_email

Validate an email address

Connect Salesquared to LangChain via MCP

Follow these steps to wire Salesquared into LangChain. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save the code and run python agent.py
04

Explore tools

The agent discovers 11 tools from Salesquared via MCP

Why Use LangChain with the Salesquared MCP Server

LangChain provides unique advantages when paired with Salesquared through the Model Context Protocol.

01

The largest ecosystem of integrations, chains, and agents. combine Salesquared MCP tools with 500+ LangChain components

02

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

03

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

04

Memory and conversation persistence let agents maintain context across Salesquared queries for multi-turn workflows

Salesquared + LangChain Use Cases

Practical scenarios where LangChain combined with the Salesquared MCP Server delivers measurable value.

01

RAG with live data: combine Salesquared tool results with vector store retrievals for answers grounded in both real-time and historical data

02

Autonomous research agents: LangChain agents query Salesquared, synthesize findings, and generate comprehensive research reports

03

Multi-tool orchestration: chain Salesquared tools with web scrapers, databases, and calculators in a single agent run

04

Production monitoring: use LangSmith to trace every Salesquared tool call, measure latency, and optimize your agent's performance

Example Prompts for Salesquared in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with Salesquared immediately.

01

"Send an SMS broadcast to my new leads: 'Welcome to our platform!'."

02

"Show me all active SMS and voice campaigns with their delivery and conversion metrics."

03

"Send a bulk SMS campaign to all leads tagged as hot prospects with a meeting booking link."

Troubleshooting Salesquared MCP Server with LangChain

Common issues when connecting Salesquared to LangChain through the Vinkius, and how to resolve them.

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Salesquared + LangChain FAQ

Common questions about integrating Salesquared MCP Server with LangChain.

01

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.
02

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.
03

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.