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SignOnSite MCP Server for LlamaIndexGive LlamaIndex instant access to 12 tools to Enrol Worker, Get Site Details, Get Worker Details, and more

Built by Vinkius GDPR 12 Tools Framework

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

Ask AI about this App Connector for LlamaIndex

The SignOnSite app connector for LlamaIndex is a standout in the Industry Titans category — giving your AI agent 12 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

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 SignOnSite. "
            "You have 12 tools available."
        ),
    )

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

asyncio.run(main())
SignOnSite
Fully ManagedVinkius Servers
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High SecurityEnterprise-grade
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V8 IsolateSandboxed
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<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 SignOnSite MCP Server

Connect your SignOnSite account to any AI agent and take full control of your construction site safety and attendance orchestration through natural conversation. SignOnSite provides a premier platform for managing worker sign-ons, safety inductions, and site attendance, and this integration allows you to retrieve site metadata, monitor worker enrollments, and track safety briefings directly from your chat interface.

LlamaIndex agents combine SignOnSite tool responses with indexed documents for comprehensive, grounded answers. Connect 12 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

  • Worker & Site Orchestration — List all active sites and retrieve detailed worker profile metadata, including enrollment status and contact info programmatically.
  • Attendance Lifecycle Management — Monitor real-time worker sign-ons and sign-offs to ensure your site attendance is always accurate directly from the AI interface.
  • Safety & Permit Control — Access and monitor site permits and safety briefings to ensure your workplace compliance is always synchronized via natural language.
  • Enrolment & Credential Intelligence — Access worker credentials and manage enrolment flows to keep your compliance records up to date.
  • Operational Monitoring — Track site activities and manage company metadata to ensure your safety orchestration is always optimized using simple AI commands.

The SignOnSite MCP Server exposes 12 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.

All 12 SignOnSite tools available for LlamaIndex

When LlamaIndex connects to SignOnSite through Vinkius, your AI agent gets direct access to every tool listed below — spanning site-safety, attendance-tracking, safety-inductions, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

enrol_worker

Enrol a new worker

get_site_details

Get details for a specific site

get_worker_details

Get details for a specific worker

list_companies

List all associated companies

list_sites

List all construction sites

list_workers

List all site workers

query_form_submissions

Query completed safety forms

query_permits

g., Hot Works, Confined Space) for your projects. Query safety permits

query_site_attendance

Supports filtering by site and date. Query worker attendance records

query_worker_credentials

Check worker licenses and inductions

sign_off_worker

Record a manual sign-off for a worker

sign_on_worker

Record a manual sign-on for a worker

Connect SignOnSite to LlamaIndex via MCP

Follow these steps to wire SignOnSite into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

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 12 tools from SignOnSite

Why Use LlamaIndex with the SignOnSite MCP Server

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

01

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

02

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

03

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

04

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

SignOnSite + LlamaIndex Use Cases

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

01

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

02

Data enrichment: query SignOnSite 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 SignOnSite for fresh data

04

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

Example Prompts for SignOnSite in LlamaIndex

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

01

"List all workers currently signed onto the 'Skyline Apartments' site."

02

"Show me any active permits for site ID 12345."

03

"Check if worker 'Robert Smith' is enrolled for the 'City Hospital' site."

Troubleshooting SignOnSite MCP Server with LlamaIndex

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

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

SignOnSite + LlamaIndex FAQ

Common questions about integrating SignOnSite 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 SignOnSite 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.