7shifts MCP Server for LlamaIndex 6 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add 7shifts as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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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 7shifts. "
"You have 6 tools available."
),
)
response = await agent.run(
"What tools are available in 7shifts?"
)
print(response)
asyncio.run(main())
* 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 7shifts MCP Server
Connect your 7shifts account to your AI agent to streamline restaurant workforce management. From creating weekly schedules to auditing employee time-off requests, your agent handles staffing operations through natural conversation.
LlamaIndex agents combine 7shifts tool responses with indexed documents for comprehensive, grounded answers. Connect 6 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
- Employee Management — List all staff members, create new profiles, and manage employee technical details
- Scheduling & Shifts — Create, view, and update work shifts for your entire team across different locations
- Time-Off Requests — Audit pending or approved time-off and submit new requests on behalf of employees
- Labor Tracking — Access time punch data and monitor clock-in/out patterns for payroll accuracy
- Location Organization — Manage multiple restaurant locations, departments, and roles seamlessly
The 7shifts MCP Server exposes 6 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 7shifts to LlamaIndex via MCP
Follow these steps to integrate the 7shifts MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
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 6 tools from 7shifts
Why Use LlamaIndex with the 7shifts MCP Server
LlamaIndex provides unique advantages when paired with 7shifts through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine 7shifts tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain 7shifts tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query 7shifts, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what 7shifts tools were called, what data was returned, and how it influenced the final answer
7shifts + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the 7shifts MCP Server delivers measurable value.
Hybrid search: combine 7shifts real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query 7shifts to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying 7shifts for fresh data
Analytical workflows: chain 7shifts queries with LlamaIndex's data connectors to build multi-source analytical reports
7shifts MCP Tools for LlamaIndex (6)
These 6 tools become available when you connect 7shifts to LlamaIndex via MCP:
create_employee
Requires name and email. Create a new staff profile inside 7shifts with basic contact information
create_shift
Requires user_id, location_id, and ISO 8601 start/end times. Assign a new work shift to a 7shifts employee for a specific date and time
list_employees
Retrieve all employees registered in the 7shifts company account
list_locations
Retrieve all locations, departments, and roles configured in the 7shifts account
list_shifts
Retrieve scheduled work shifts from 7shifts, filterable by date or location
list_time_off
Retrieve pending or approved employee time-off requests from 7shifts
Example Prompts for 7shifts in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with 7shifts immediately.
"List all employees for my restaurant."
"Create a shift for employee 456 on Dec 20th from 9 AM to 5 PM at location 123."
"Are there any pending time-off requests?"
Troubleshooting 7shifts MCP Server with LlamaIndex
Common issues when connecting 7shifts to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcp7shifts + LlamaIndex FAQ
Common questions about integrating 7shifts MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect 7shifts with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect 7shifts to LlamaIndex
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.