How to Use the 7shifts MCP in LlamaIndex

Q: Can LlamaIndex search through past 7shifts schedules?

Yes. Your agent calls listshifts to fetch historical schedule data, indexes those records into a vector store, and runs semantic search queries to find specific shift patterns.

Q: How do I filter 7shifts employees by location in LlamaIndex?

The agent first runs listlocations to get the correct department IDs. It then uses those IDs as metadata filters when querying the indexed employee directory.

Index restaurant schedules and staff profiles into LlamaIndex for grounded, RAG-driven workforce decisions.

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Connect 7shifts MCP to LlamaIndex

Create your Vinkius account to connect 7shifts to LlamaIndex 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 7shifts with LlamaIndex

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Index restaurant shift history for semantic search

The `list_shifts` tool pulls scheduled shift data directly into your LlamaIndex pipelines using this MCP Server. Your agent indexes these shift records into your vector database, making past schedules searchable via natural language queries. Instead of running complex SQL queries, your agent searches the index to find who worked specific days. This turns raw shift data into a queryable knowledge base for your restaurant management.

Manage employee records using LlamaIndex MCP Server tools

The `list_employees` tool retrieves your entire staff directory to keep your local knowledge index updated. Your agent queries this index to verify staff contact details or check active roster statuses. When hiring, the `create_employee` tool adds new staff profiles with their name and email. The framework immediately updates your vector store so the new hire is searchable in your next query.

Analyze time-off trends with structured queries

The `list_time_off` tool retrieves all pending and approved time-off requests from your account. LlamaIndex parses these requests into structured nodes, allowing your agent to analyze seasonal absence trends. Combining this with `list_locations` lets you track which departments face the highest volume of vacation requests. You get data-driven insights into your staffing needs without manual spreadsheet exports.

Setup guide

Set up 7shifts MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all 7shifts MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

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

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to 7shifts tools.",
)
response = await agent.run("List recent 7shifts data")

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by 7shifts. 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 7shifts MCP in LlamaIndex

Connect to the server using the BasicMCPClient and convert the tools using McpToolSpec. Pass these tools to your FunctionAgent to let it pull live data from your restaurant account.

Yes. Your agent calls `list_shifts` to fetch historical schedule data, indexes those records into a vector store, and runs semantic search queries to find specific shift patterns.

The agent first runs `list_locations` to get the correct department IDs. It then uses those IDs as metadata filters when querying the indexed employee directory.

Yes, you can use the asynchronous tool conversion methods provided by the MCP integration. This lets your agent fetch shifts and time-off requests concurrently to speed up your indexing pipelines.

Your staff names, emails, and shift details are processed through a zero-trust V8 sandbox on Vinkius. The data is indexed directly into your local vector store, ensuring your restaurant's scheduling records are never stored on external third-party servers.

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