ZIZAI Recruitment MCP Server

What does “ZIZAI Recruitment” MCP Server do?

The ZIZAI Recruitment MCP Server connects AI assistants and clients to the ZIZAI Recruitment API, a next-generation intelligent recruitment platform that leverages professional assessments for efficient and precise talent-job matching. By exposing recruitment-related data and actions as MCP tools, it enables developers and AI agents to automate tasks such as retrieving job listings, applying for jobs, managing recruitment entities, and discovering recommended talents. This integration streamlines development workflows in recruitment applications, allowing seamless access to external job and talent data, as well as operational capabilities like posting jobs or analyzing candidate matches.

List of Prompts

No prompt templates are documented in the repository.

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List of Resources

No explicit MCP resources are documented in the repository or README.

Job Seekers

• get-job-list
  Retrieve a list of recommended job positions. Accepts optional keyword and recruitType (job type) parameters.
• apply-for-job
  Apply for a job position using the unique workPin code.

Recruiters

• get-entity-list
  Retrieve a list of managed entities (companies or organizations).
• get-entity-jobs
  Retrieve job positions published under a specific entity.
• get-recommend-talents
  Retrieve recommended talents for a specific job position.
• get-field-list
  Retrieve a list of available job fields or categories.
• post-a-job
  Post a new job position under a managed entity, specifying details such as responsibilities, requirements, city, and benefits.

Use Cases of this MCP Server

• Job Search Automation
  AI agents can fetch and filter recommended jobs for users, automating the process of discovering relevant opportunities based on custom criteria.
• Automated Job Application
  Allows users to apply to jobs directly through AI interfaces, streamlining the application process and reducing manual input.
• Recruiter Entity Management
  Enables recruiters to view and manage their list of entities (companies), as well as the jobs associated with each entity, through automated workflows.
• Talent Recommendation and Screening
  Recruiters can receive AI-powered recommendations for candidates best matched to specific job postings, improving hiring efficiency.
• Job Posting Automation
  Recruiters can use the server to programmatically create and manage job postings, making it easier to keep listings up to date.

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How to set it up

Windsurf

No Windsurf-specific setup instructions found in the repository.

Claude

1. Prerequisite: Obtain a ZIZAI Work API key (instructions ).
2. Locate Configuration: Edit your claude_desktop_config.json.
3. Add MCP Server: Insert the following JSON snippet under mcpServers:

   {
     "mcpServers": {
       "zaiwork": {
         "command": "npx",
         "args": [
           "-y",
           "@zizaiwork/mcp"
         ],
         "env": {
           "ZAI_API_KEY": "<YOUR_API_KEY>"
         }
       }
     }
   }
   

4. Save and Restart: Save the file and restart the Claude Desktop app.
5. Verify: Confirm the ZIZAI Recruitment MCP server is accessible in the interface.

Cursor

No Cursor-specific setup instructions found in the repository.

Cline

No Cline-specific setup instructions found in the repository.

Securing API Keys

The API key should be placed in the env section as shown above, ensuring it is not hardcoded elsewhere. Example:

"env": {
  "ZAI_API_KEY": "<YOUR_API_KEY>"
}

How to use this MCP inside flows

Using MCP in FlowHunt

To integrate MCP servers into your FlowHunt workflow, start by adding the MCP component to your flow and connecting it to your AI agent:

Click on the MCP component to open the configuration panel. In the system MCP configuration section, insert your MCP server details using this JSON format:

{
  "MCP-name": {
    "transport": "streamable_http",
    "url": "https://yourmcpserver.example/pathtothemcp/url"
  }
}

Once configured, the AI agent is now able to use this MCP as a tool with access to all its functions and capabilities. Remember to change “MCP-name” to whatever the actual name of your MCP server is (e.g., “github-mcp”, “weather-api”, etc.) and replace the URL with your own MCP server URL.

Overview

Our opinion

The ZIZAI Recruitment MCP Server provides a focused and practical toolset for recruitment automation, but lacks documentation for prompt templates and explicit resource exposure. It is well-suited for recruitment workflow integration but would benefit from more comprehensive documentation and support for Roots and Sampling.

MCP Score

Overall, I would rate this MCP server a 4/10: it is functional and clear in its purpose, but lacks completeness in documentation, prompt and resource definitions, Roots/Sampling support, and ecosystem engagement.