How to Use the Culture Amp MCP in Pydantic AI

Q: How do I configure Pydantic AI to use the Culture Amp MCP Server?

Install pydantic-ai-slimmcp via pip. Create an MCPToolset with your Vinkius HTTP endpoint URL and pass it in the toolsets array when instantiating your agent.

Q: Can Pydantic AI create new Culture Amp employee records?

Yes. Your agent can execute createemployeerecord to push new hires into the system. The framework validates the input parameters before the request ever leaves your server.

Build type-safe HR agents that validate every Culture Amp API response using Pydantic AI.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Culture Amp MCP to Pydantic AI

Create your Vinkius account to connect Culture Amp to Pydantic AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup Culture Amp with Pydantic AI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Guarantee correct employee data

HR records demand absolute precision. When your agent pulls a profile, you can't afford hallucinated job titles or missing department IDs. This MCP framework validates every incoming payload against strict schemas before your logic even sees the data. If `get_employee_details` returns an unexpected status string, the system throws a loud validation error immediately. Your agent safely iterates through `list_employees` knowing that every single dictionary matches your exact type definitions. No silent corruption allowed.

Manage surveys with strict types

Analyzing feedback cycles requires pulling complex nested JSON from the API. You need to map these objects to your internal reporting tools without writing endless parsing logic. Connecting this MCP server means you can swap between Claude and Gemini while keeping your data structures intact. Your agent calls `list_engagement_surveys` to find active polls. It then executes `get_survey_details` and `list_analytics_datasets`, piping the results straight into strongly typed Pydantic models. You always know exactly what fields are present in the response.

Add the Culture Amp MCP Server

Getting started requires the slim package with the correct extras installed. You initialize an `MCPToolset` pointing to your running Vinkius instance and pass it directly to your agent configuration. The older HTTP classes are deprecated, so you'll want to stick to the unified toolset approach. Working with large organizational hierarchies becomes much safer. When your code fires off `list_organizational_groups` or `list_cultureamp_accounts`, the framework handles the Streamable HTTP transport behind the scenes. You just focus on writing the business logic.

Setup guide

Set up Culture Amp MCP in Pydantic AI

Prerequisites

Python 3.10+ installed
pydantic-ai-slim[fastmcp] package
Active Vinkius subscription with a valid endpoint token

1

Install Pydantic AI with FastMCP
Run pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecated MCPServerHTTP class with full protocol support.
2

Configure the FastMCPToolset
Pass a JSON-style config dict to FastMCPToolset with your Vinkius URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports.
3

Create and run your agent
Pass the toolset to Agent(toolsets=[toolset]) and call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py

from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "culture-amp-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to Culture Amp tools.",
)

result = await agent.run("List recent Culture Amp transactions")
print(result.output)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Culture Amp. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Culture Amp now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Culture Amp MCP in Pydantic AI

Install `pydantic-ai-slim[mcp]` via pip. Create an `MCPToolset` with your Vinkius HTTP endpoint URL and pass it in the `toolsets` array when instantiating your agent.

Type safety prevents massive headaches. When your agent runs `list_demographic_fields`, the framework guarantees the response matches your defined schema. If the API changes or returns garbage, the process fails loudly instead of silently corrupting your database.

Yes. Your agent can execute `create_employee_record` to push new hires into the system. The framework validates the input parameters before the request ever leaves your server.

You can use any supported provider. The framework is completely model-agnostic, meaning you can pull `get_employee_details` using OpenAI today and switch to a local model tomorrow without changing your toolset code.

Vinkius operates a zero-trust architecture. When your agent fetches `get_survey_details` or queries internal team structures, the transaction happens inside a temporary V8 isolate. We do not inspect your network traffic or cache your employee records.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript