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TextYess MCP Server for Pydantic AIGive Pydantic AI instant access to 12 tools to Get Campaign Analytics, Get Campaign Conversions, Get Campaigns Delivery Status, and more

Built by Vinkius GDPR 12 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect TextYess 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 TextYess app connector for Pydantic AI 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

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 TextYess "
            "(12 tools)."
        ),
    )

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

asyncio.run(main())
TextYess
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
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DLPData protection
V8 IsolateSandboxed
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<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 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.

Pydantic AI validates every TextYess tool response against typed schemas, catching data inconsistencies at build time. Connect 12 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

  • 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 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 12 TextYess tools available for Pydantic AI

When Pydantic AI 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_campaign_analytics

Get analytics for a specific campaign

get_campaign_conversions

List orders generated by a campaign

get_campaigns_delivery_status

Check campaigns deliverability

get_current_user

Get authenticated user profile

get_organization_details

Get organization information

get_product_details

Get details for a specific product

list_ai_conversations

List AI agent interactions

list_all_orders

List all conversational commerce orders

list_configured_webhooks

List active webhooks

list_connected_integrations

List connected e-commerce platforms

list_marketing_campaigns

List WhatsApp marketing campaigns

list_products

List all synced products

Connect TextYess to Pydantic AI via MCP

Follow these steps to wire TextYess 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 12 tools from TextYess with type-safe schemas

Why Use Pydantic AI with the TextYess MCP Server

Pydantic AI provides unique advantages when paired with TextYess 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 TextYess 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 TextYess connection logic from agent behavior for testable, maintainable code

TextYess + Pydantic AI Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for TextYess in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with TextYess immediately.

01

"List all active marketing campaigns in my TextYess account."

02

"Show me the revenue generated by the 'Abandoned Cart' campaign (ID: camp_10293)."

03

"List the last 3 customer conversations with the AI shopping agent."

Troubleshooting TextYess MCP Server with Pydantic AI

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

01

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

TextYess + Pydantic AI FAQ

Common questions about integrating TextYess 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 TextYess MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.