How to Use the Kisi MCP in CrewAI

Q: How do I connect CrewAI to the Kisi MCP Server?

Install crewaitools. You can pass the HTTP endpoint directly into your agent's mcps array, or use MCPServerHTTP for deeper configuration.

Q: Can I restrict which CrewAI agents can unlock Kisi doors?

Yes. Use the toolfilter parameter when setting up the server connection. Give the monitoring agent read-only tools and restrict the unlock tools to your moderator agent.

Deploy autonomous security teams in CrewAI to monitor and control your Kisi physical access infrastructure.

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Connect Kisi MCP to CrewAI

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

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Setup Kisi with CrewAI

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Monitor Security Autonomously

A dedicated watcher agent uses `list_kisi_locks` to constantly poll your building hardware. It looks for doors propped open or offline controllers without needing human supervision. When it finds an anomaly, the agent fires `get_kisi_lock` to pull the exact hardware state. It cross-references this with `check_kisi_status` to determine if the issue is a physical breach or just a cloud API outage.

Audit Distributed Credentials

You assign an auditor agent the `list_kisi_users` and `list_kisi_groups` tools. This agent spends its time cross-checking your HR database against actual active mobile credentials. If it spots a discrepancy, it passes the target ID to an investigator agent. The investigator runs `get_kisi_user` to pull the full profile and writes a report. The MCP Server handles the data extraction while your crew handles the logic.

Respond to Emergencies

The `lockdown_kisi_lock` tool allows your responder agents to secure physical zones during hierarchical execution. A manager agent receives a threat alert and orders a responder to lock down the affected area. Once the threat clears, the manager coordinates with a local admin agent. They use `get_kisi_place` to verify the building is clear, then carefully run `unlock_kisi_lock` to restore normal operations.

Setup guide

Set up Kisi MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Kisi tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Kisi Analyst",
    goal="Access and analyze Kisi data via MCP.",
    backstory="Expert analyst with direct Kisi access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Kisi transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

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

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="Kisi Analyst",
        goal="Access and analyze Kisi data via MCP.",
        backstory="Expert analyst with direct Kisi access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Kisi transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

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

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 Kisi. 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.

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Common questions about Kisi MCP in CrewAI

Install crewai[tools]. You can pass the HTTP endpoint directly into your agent's mcps array, or use MCPServerHTTP for deeper configuration.

Yes. Use the tool_filter parameter when setting up the server connection. Give the monitoring agent read-only tools and restrict the unlock tools to your moderator agent.

CrewAI uses shared memory. If Agent A pulls a list of users, Agent B can reference those exact user IDs in its next task without hitting the API twice.

The framework supports stdio, SSE, and Streamable HTTP transports natively. You just configure the transport type in the connection object.

Your agents are ingesting raw physical movement records and personal identity profiles. You must run this crew in a secure environment because the agents store these entry logs in their short-term memory during execution.

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