Texter MCP Server for Pydantic AIGive Pydantic AI instant access to 10 tools to Add Label To Texter Chat, Get Texter Chat Details, List Texter Channels, and more
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Texter 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 Texter app connector for Pydantic AI is a standout in the Communication Messaging category — giving your AI agent 10 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 Texter "
"(10 tools)."
),
)
result = await agent.run(
"What tools are available in Texter?"
)
print(result.data)
asyncio.run(main())
* 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 Texter MCP Server
Connect your Texter account to any AI agent and simplify how you manage customer conversations across WhatsApp, Instagram, and more through natural conversation.
Pydantic AI validates every Texter tool response against typed schemas, catching data inconsistencies at build time. Connect 10 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
- Chat Management — List all active chats and retrieve detailed metadata and history for specific conversations.
- Omichannel Messaging — Send session messages to active chats or use pre-approved templates for new outreach.
- Conversation Control — Resolve or close chats and apply labels for better organization and tracking.
- Workspace Oversight — List departments, labels, and connected messaging channels (WhatsApp, Instagram, etc.).
- Template Automation — Send localized template messages with dynamic components directly via AI.
- Team Coordination — Monitor active threads and manage chat assignments across your unified inbox.
The Texter MCP Server exposes 10 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 10 Texter tools available for Pydantic AI
When Pydantic AI connects to Texter through Vinkius, your AI agent gets direct access to every tool listed below — spanning sms-marketing, omnichannel, customer-engagement, 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.
Assign a label to a chat
Get chat details
). List connected channels
List all active chats
List departments
List chat labels
List messages in a chat
Resolve or close a chat
Send a message to an active chat
Send a WhatsApp/Messenger template message
Connect Texter to Pydantic AI via MCP
Follow these steps to wire Texter into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install Pydantic AI
pip install pydantic-aiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use Pydantic AI with the Texter MCP Server
Pydantic AI provides unique advantages when paired with Texter through the Model Context Protocol.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Texter integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Texter connection logic from agent behavior for testable, maintainable code
Texter + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Texter MCP Server delivers measurable value.
Type-safe data pipelines: query Texter with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Texter tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Texter and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Texter responses and write comprehensive agent tests
Example Prompts for Texter in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Texter immediately.
"List all active chats in my Texter account."
"Send the 'order_confirmed' template in 'pt_BR' to 5511999999999."
"Mark chat 'chat_10293' as resolved and add the label 'Support-Fixed'."
Troubleshooting Texter MCP Server with Pydantic AI
Common issues when connecting Texter to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiTexter + Pydantic AI FAQ
Common questions about integrating Texter MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.