Formilla MCP Server for Pydantic AIGive Pydantic AI instant access to 12 tools to Check Formilla Status, Delete Contact, Get Contact, and more
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Formilla through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
Ask AI about this MCP Server for Pydantic AI
The Formilla MCP Server for Pydantic AI is a standout in the Customer Support 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
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 Formilla "
"(12 tools)."
),
)
result = await agent.run(
"What tools are available in Formilla?"
)
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 Formilla MCP Server
Connect your Formilla account to any AI agent and take full control of your live chat contacts and customer data management through natural conversation.
Pydantic AI validates every Formilla 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
- Contact Orchestration — Create or update contact records programmatically, including managing names, emails, and phone numbers directly from your agent
- Database Management — List all contacts in your Formilla account and retrieve detailed metadata to maintain a high-fidelity customer record
- Visitor Intelligence — Find specific contacts by email to verify their support history and track custom attributes for personalized messaging
- Secure Maintenance — Programmatically delete contacts from the system to maintain database hygiene and comply with privacy requests
- Data Synchronization — Use unique identifiers (UserId) to seamlessly sync your external user data with Formilla's live chat ecosystem
The Formilla MCP Server exposes 12 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 12 Formilla tools available for Pydantic AI
When Pydantic AI connects to Formilla through Vinkius, your AI agent gets direct access to every tool listed below — spanning real-time-chat, lead-qualification, in-app-messaging, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Check formilla status on Formilla
Verify connectivity
Delete contact on Formilla
Delete a contact
Get contact on Formilla
Get contact details
Get contact by email on Formilla
Get contact by email
Get conversation on Formilla
Get conversation details
List contacts on Formilla
List contacts
List conversations on Formilla
List conversations
List segments on Formilla
List segments
List visitors on Formilla
List visitors
Search contacts on Formilla
Search contacts
Update contact on Formilla
Update a contact
Upsert contact on Formilla
Create or update contact
Connect Formilla to Pydantic AI via MCP
Follow these steps to wire Formilla into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind 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 Formilla MCP Server
Pydantic AI provides unique advantages when paired with Formilla 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 Formilla integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Formilla connection logic from agent behavior for testable, maintainable code
Formilla + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Formilla MCP Server delivers measurable value.
Type-safe data pipelines: query Formilla with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Formilla tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Formilla and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Formilla responses and write comprehensive agent tests
Example Prompts for Formilla in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Formilla immediately.
"List all my current contacts in Formilla."
"Update contact 'john@example.com' with phone '+15551234567'."
"Find the contact details for 'sarah.smith@example.com'."
Troubleshooting Formilla MCP Server with Pydantic AI
Common issues when connecting Formilla to Pydantic AI through Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiFormilla + Pydantic AI FAQ
Common questions about integrating Formilla 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.Does Pydantic AI validate MCP tool responses?
Can I switch LLM providers without changing MCP code?
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