How to Use the Indeed MCP in LlamaIndex

Q: How do I update my Indeed index?

You trigger the searchjobs tool on a schedule or as part of a user query. The new data flows into your index automatically.

Index live job data from the Indeed MCP Server into your LlamaIndex knowledge base for semantic retrieval.

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Connect Indeed MCP to LlamaIndex

Create your Vinkius account to connect Indeed 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 Indeed with LlamaIndex

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Index Indeed listings in LlamaIndex

You convert the output of `search_jobs` into searchable vectors. LlamaIndex takes the live job data and stores it for future semantic queries. This approach lets your agents answer questions based on historical search results. You no longer rely on transient data; you build a knowledge base of job opportunities.

Ground your agent in Indeed data

By combining this MCP Server with your index, you eliminate hallucinations about available roles. Your agent retrieves actual, verified listings from the `search_jobs` tool. Every answer is backed by data pulled directly from the source. You trust the agent's output because it is grounded in the current Indeed index.

Filter results before indexing

You use the tool's parameters to narrow down listings before they hit your vector store. Keep your index clean by only adding roles that meet your specific requirements. This saves tokens and improves search performance. You keep your LlamaIndex knowledge base focused on the roles that actually matter to your project.

Setup guide

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

Indeed, you index the output of the server as part of your knowledge base. It allows for semantic search over job listings.

Indeed, you use the MCP tool spec to pull data and feed it into your agent. It integrates cleanly into your existing retrieval pipeline.

Indeed, your data is contained within your local index. We only touch the public job metadata retrieved via the `search_jobs` tool.

You trigger the `search_jobs` tool on a schedule or as part of a user query. The new data flows into your index automatically.

It processes public job listing descriptions and metadata. We protect this data by keeping all indexing operations local to your secure infrastructure.

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