Talroo's Job Search MCP (for AI Agents)

Integrating Agentic Workflows with Talroo Data

Model Context Protocol (MCP) is a standard that lets AI tools, agents, and chatbots tap into external resources through a simple, uniform interface. With MCP, developers don't need to reinvent integrations for each data source because an MCP server handles the connection and resources automatically.

Connect your AI agents to Talroo's job search capabilities using our HTTP-based Model Context Protocol (MCP) server to allow them to search for jobs through a standardized interface.

Setting up the Talroo MCP

Integrating the Talroo Search MCP into existing AI tooling is simple.

Property	Value
Server Type	HTTP, using Model Context Protocol
Authentication	Same as Search API (username and password)
URL	https://mcp.talroo.com/mcp?id=YOUR_API_ID&pass=YOUR_API_PASS

Configuration for AI Tools

For well-defined enterprise tools like Cursor, configuring the server is as easy as adding the following code to the MCP Configuration file:

{
  "talroo": {
    "type": "http",
    "url": "https://mcp.talroo.com/mcp?id=YOUR_API_ID&pass=YOUR_API_PASS"
  }
}

Using the Talroo MCP for Agents

The main functionality of the MCP is to search for jobs with advanced filtering capabilities. The job_search tool takes in several parameters:

Parameter	Required	Description
location	Yes	<City,state>, or zipcode
query	No	User query
ip	No	Location resolution and security/privacy considerations

note

These optional parameters may change in the future, so refer to documentation to remain up to date with best practices.

Health Check

If you are having trouble accessing the server, check the server health via:

https://mcp.talroo.com/health

Example Request and Response

Actual implementation details will depend on the codebase of the agent, but it is integrated like any other MCP server.

Example Request:

{
  "method": "tools/call",
  "params": {
    "name": "job_search",
    "arguments": {
      "query": "Python developer",
      "location": "Austin, TX"
    }
  }
}

Example Response:

{
  "jobs": [
    {
      "title": "Python Developer",
      "company": "TechCorp",
      "location": "Austin, TX",
      ...
    }
  ],
  "total_results": 156,
  "page": 1,
  "search_metadata": { ... }
}

Best Practices

• Use asynchronous requests
• Implement automatic retries with backoff
• Implement robust error handling

tip

In a fully integrated chat setting, AI Agents are not guaranteed to use the "right" tools. Like other tools, the Talroo MCP is just another tool in their toolbox. Prompt guidance, such as "Search for Python jobs in Austin using the Talroo MCP" helps remedy this problem.