How to Use the Lightcast Labor Market MCP in LlamaIndex

Q: Can I filter tools when using Lightcast Labor Market with LlamaIndex?

Yes, use the allowedtools filter during agent setup to restrict which parts of the API your agent can access. This ensures your knowledge base only contains the specific labor metrics you need.

Index live labor market data into your LlamaIndex knowledge base for grounded, API-backed agent responses.

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Connect Lightcast Labor Market MCP to LlamaIndex

Create your Vinkius account to connect Lightcast Labor Market 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 Lightcast Labor Market with LlamaIndex

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Index labor stats for semantic search

Transform the results of `get_labor_market_region_summary` into searchable documents. You build a knowledge base that answers questions about regional trends by querying the actual index rather than relying on stale training data. This grounds your agent's answers in facts. When the agent needs specific information, it retrieves the latest stats from the server and stores them in your vector store.

Query taxonomies with LlamaIndex

Use `list_standardized_occupations` to populate your index with current job titles. Your agent cross-references these against your internal documentation to provide accurate, context-aware suggestions. This method keeps your retrieval pipeline fresh. As the API updates its taxonomy, your index reflects those changes immediately.

Retrieve skill details on demand

Call `get_skill_details` to pull definitions directly into your agent's working memory. You use these specific records to clarify vague terminology during user interactions. Your agents maintain high accuracy by pulling from this trusted source. Every retrieved skill definition becomes a permanent part of your queryable knowledge base.

Setup guide

Set up Lightcast Labor Market 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 Lightcast Labor Market 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 Lightcast Labor Market tools.",
)
response = await agent.run("List recent Lightcast Labor Market 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 Lightcast Labor Market. 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 Lightcast Labor Market MCP in LlamaIndex

Use the llama-index-tools-mcp package to initialize a BasicMCPClient. Convert the MCP tools into a format compatible with your agent using McpToolSpec and pass that list to your FunctionAgent.

You control the indexing logic. By passing the tool output into your vector store, you decide how long the labor data remains available for your agent to query.

Yes, use the allowed_tools filter during agent setup to restrict which parts of the API your agent can access. This ensures your knowledge base only contains the specific labor metrics you need.

All requests are authenticated via a secure token provided by Vinkius. The server architecture ensures that your API interactions are ephemeral and isolated from other users.

The server accesses public labor market indices, skill taxonomies, and standardized job occupation data. It does not touch private user records or sensitive corporate information.

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