How do I perform a remote unlock using the agent?

Use the `unlock_door` tool with the unique ID of the lock you wish to open. Make sure the authenticated user has the necessary permissions for that door.

Can I see if a door is currently online?

Yes, the `list_locks` and `get_lock_details` tools return the real-time connectivity status (online/offline) for every device.

Is it possible to list all users in my organization?

Absolutely. Use the `list_users` tool to retrieve a comprehensive list of all members registered in your Kisi organization.

Kisi MCP Server for Pydantic AI 9 tools — connect in under 2 minutes

Name: Kisi
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 9 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Kisi through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

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 Kisi "
            "(9 tools)."
        ),
    )

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

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<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 Kisi MCP Server

Connect your Kisi account to any AI agent to automate your physical access control and security workflows. This MCP server enables your agent to interact with locks (doors), manage users, and trigger remote unlocks directly from natural language interfaces.

Pydantic AI validates every Kisi tool response against typed schemas, catching data inconsistencies at build time. Connect 9 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

Remote Unlocking — Trigger remote unlock commands for any managed door instantly
Device Oversight — List all locks and retrieve real-time status (online/offline, locked/unlocked)
User Management — List organization users and retrieve complete profile information
Access Control Audit — Query groups, places, and role assignments to monitor permissions
Location Tracking — List and inspect physical places configured in your Kisi environment

The Kisi MCP Server exposes 9 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.

How to Connect Kisi to Pydantic AI via MCP

Follow these steps to integrate the Kisi MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 9 tools from Kisi with type-safe schemas

Why Use Pydantic AI with the Kisi MCP Server

Pydantic AI provides unique advantages when paired with Kisi 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 Kisi integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Kisi connection logic from agent behavior for testable, maintainable code

Kisi + Pydantic AI Use Cases

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

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

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

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

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

Kisi MCP Tools for Pydantic AI (9)

These 9 tools become available when you connect Kisi to Pydantic AI via MCP:

get_lock_details

Get details for a specific lock

get_my_profile

Get the current authenticated user profile

get_place_details

Get details for a specific place

list_access_groups

List all access groups

list_locks

List all locks (doors)

list_places

List all physical places (locations)

list_role_assignments

List all role assignments

list_users

Use this to identify user IDs. List all users in the Kisi organization

unlock_door

Unlock a specific door (lock)

Example Prompts for Kisi in Pydantic AI

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

"Unlock the 'Main Entrance' door (ID: '12345') in Kisi."

"List all locks that are currently offline."

"Show me the details for the place 'Headquarters'."

Troubleshooting Kisi MCP Server with Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Kisi + Pydantic AI FAQ

Common questions about integrating Kisi MCP Server with Pydantic AI.

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.

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.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Kisi MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.