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

Built by Vinkius GDPR 9 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Kisi as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

Vinkius supports streamable HTTP and SSE.

python
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to Kisi. "
            "You have 9 tools available."
        ),
    )

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

asyncio.run(main())
Kisi
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.

LlamaIndex agents combine Kisi tool responses with indexed documents for comprehensive, grounded answers. Connect 9 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

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 LlamaIndex 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 LlamaIndex via MCP

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

01

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

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

04

Explore tools

The agent discovers 9 tools from Kisi

Why Use LlamaIndex with the Kisi MCP Server

LlamaIndex provides unique advantages when paired with Kisi through the Model Context Protocol.

01

Data-first architecture: LlamaIndex agents combine Kisi tool responses with indexed documents for comprehensive, grounded answers

02

Query pipeline framework lets you chain Kisi tool calls with transformations, filters, and re-rankers in a typed pipeline

03

Multi-source reasoning: agents can query Kisi, a vector store, and a SQL database in a single turn and synthesize results

04

Observability integrations show exactly what Kisi tools were called, what data was returned, and how it influenced the final answer

Kisi + LlamaIndex Use Cases

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

01

Hybrid search: combine Kisi real-time data with embedded document indexes for answers that are both current and comprehensive

02

Data enrichment: query Kisi to augment indexed data with live information before generating user-facing responses

03

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Kisi for fresh data

04

Analytical workflows: chain Kisi queries with LlamaIndex's data connectors to build multi-source analytical reports

Kisi MCP Tools for LlamaIndex (9)

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

01

get_lock_details

Get details for a specific lock

02

get_my_profile

Get the current authenticated user profile

03

get_place_details

Get details for a specific place

04

list_access_groups

List all access groups

05

list_locks

List all locks (doors)

06

list_places

List all physical places (locations)

07

list_role_assignments

List all role assignments

08

list_users

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

09

unlock_door

Unlock a specific door (lock)

Example Prompts for Kisi in LlamaIndex

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

01

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

02

"List all locks that are currently offline."

03

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

Troubleshooting Kisi MCP Server with LlamaIndex

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

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Kisi + LlamaIndex FAQ

Common questions about integrating Kisi MCP Server with LlamaIndex.

01

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
02

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Kisi tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
03

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.

Connect Kisi to LlamaIndex

Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.