Formbricks MCP Server for Pydantic AIGive Pydantic AI instant access to 10 tools to Create Survey, Delete Survey, Get Person, and more
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Formbricks 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 Formbricks app connector for Pydantic AI is a standout in the Customer Support 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 Formbricks "
"(10 tools)."
),
)
result = await agent.run(
"What tools are available in Formbricks?"
)
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 Formbricks MCP Server
Connect your Formbricks environment to any AI agent and simplify your feedback collection and survey management through natural conversation.
Pydantic AI validates every Formbricks 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
- Survey Control — List all surveys, check their status, and create or delete survey structures programmatically
- Response Management — Query results for any survey to analyze user feedback and submission data
- People Insights — List identified contacts and retrieve their metadata and custom attributes
- Workflow Monitoring — Inspect configured webhooks and action classes to understand your data flow
The Formbricks 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 Formbricks tools available for Pydantic AI
When Pydantic AI connects to Formbricks through Vinkius, your AI agent gets direct access to every tool listed below — spanning user-feedback, experience-management, survey-automation, 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.
Create a new survey
Delete a survey
Get details for a specific person
Get details for a specific response
Get details for a specific survey
List action classes
List identified people
Optionally filter by a specific survey ID. List survey responses
List all surveys
List configured webhooks
Connect Formbricks to Pydantic AI via MCP
Follow these steps to wire Formbricks 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 Formbricks MCP Server
Pydantic AI provides unique advantages when paired with Formbricks 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 Formbricks integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Formbricks connection logic from agent behavior for testable, maintainable code
Formbricks + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Formbricks MCP Server delivers measurable value.
Type-safe data pipelines: query Formbricks with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Formbricks tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Formbricks and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Formbricks responses and write comprehensive agent tests
Example Prompts for Formbricks in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Formbricks immediately.
"List all surveys in Formbricks."
"Show me responses for the NPS survey."
"Get metadata for person 'user_555'."
Troubleshooting Formbricks MCP Server with Pydantic AI
Common issues when connecting Formbricks to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiFormbricks + Pydantic AI FAQ
Common questions about integrating Formbricks 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.