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 CrewAI 9 tools — connect in under 2 minutes

Name: Kisi
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 9 Tools Framework

Connect your CrewAI agents to Kisi through Vinkius, pass the Edge URL in the `mcps` parameter and every Kisi tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

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Vinkius supports streamable HTTP and SSE.

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Kisi Specialist",
    goal="Help users interact with Kisi effectively",
    backstory=(
        "You are an expert at leveraging Kisi tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Kisi "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 9 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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High SecurityEnterprise-grade

IAMAccess control

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V8 IsolateSandboxed

Ed25519Audit chain

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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.

When paired with CrewAI, Kisi becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Kisi tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI via MCP

Follow these steps to integrate the Kisi MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 9 tools from Kisi

Why Use CrewAI with the Kisi MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Kisi through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Kisi + CrewAI Use Cases

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

Automated multi-step research: a reconnaissance agent queries Kisi for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Kisi, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Kisi tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Kisi against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Kisi MCP Tools for CrewAI (9)

These 9 tools become available when you connect Kisi to CrewAI 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 CrewAI

Ready-to-use prompts you can give your CrewAI 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 CrewAI

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

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Kisi + CrewAI FAQ

Common questions about integrating Kisi MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.