3,400+ MCP servers ready to use
Vinkius

Salesquared MCP Server for Pydantic AIGive Pydantic AI instant access to 11 tools to Conference Mute, Create Audio From Tts, Create Lead, and more

Built by Vinkius GDPR 11 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Salesquared through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Ask AI about this App Connector for Pydantic AI

The Salesquared app connector for Pydantic AI 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 pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Salesquared "
            "(11 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Salesquared?"
    )
    print(result.data)

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.

Pydantic AI validates every Salesquared tool response against typed schemas, catching data inconsistencies at build time. Connect 11 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

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 Pydantic AI 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 Pydantic AI

When Pydantic AI 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 Pydantic AI via MCP

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

01

Install Pydantic AI

Run pip install pydantic-ai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.py and run: python agent.py
04

Explore tools

The agent discovers 11 tools from Salesquared with type-safe schemas

Why Use Pydantic AI with the Salesquared MCP Server

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

01

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

02

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Salesquared integration code

03

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

04

Dependency injection system cleanly separates your Salesquared connection logic from agent behavior for testable, maintainable code

Salesquared + Pydantic AI Use Cases

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

01

Type-safe data pipelines: query Salesquared with guaranteed response schemas, feeding validated data into downstream processing

02

API orchestration: chain multiple Salesquared tool calls with Pydantic validation at each step to ensure data integrity end-to-end

03

Production monitoring: build validated alert agents that query Salesquared and output structured, schema-compliant notifications

04

Testing and QA: use Pydantic AI's dependency injection to mock Salesquared responses and write comprehensive agent tests

Example Prompts for Salesquared in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI

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

01

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Salesquared + Pydantic AI FAQ

Common questions about integrating Salesquared MCP Server with Pydantic AI.

01

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.
02

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.
03

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Salesquared MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.