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Lapras MCP Server

The MCP server officially provided by LAPRAS is used to access and operate job - seeking, work experience and other information on the LAPRAS platform through AI tools. It supports rapid deployment through npm or Docker and provides multiple functions such as job search and work experience management.
2.5 points
74

What is LAPRAS MCP Server?

LAPRAS MCP Server is a server based on the Model Context Protocol (MCP) that allows job seekers to interact with AI through natural language and obtain personalized career advice, job recommendations, and resume optimization functions.

How to use LAPRAS MCP Server?

You can interact with LAPRAS MCP Server through simple commands or natural language input, such as searching for jobs and updating work experiences.

Applicable scenarios

LAPRAS MCP Server is suitable for job seekers who need to quickly find suitable positions and professionals who want to enhance their career competitiveness.

Main features

Job searchFilter and obtain a job list through parameters such as keywords and salary ranges.
Work experience managementAdd, edit, or delete your work history records.
Career goal settingSet future career development directions and update them to the LAPRAS system.
Resume optimizationGenerate an optimized resume based on current job requirements.

Advantages and limitations

Advantages
Quickly and accurately match job opportunities.
Simple to operate and no programming knowledge is required.
Supports multi - platform integration (such as Docker, npx).
Strict privacy protection measures to ensure information security.
Limitations
An effective API key is required to access advanced features.
Some complex job descriptions may require further manual confirmation.
Limited to the registered work experience database.

How to use

Installation and startup
Download LAPRAS MCP Server and install it according to the instructions.
Configure API key
Log in to the LAPRAS official website to obtain an API key and add it to the configuration file.
Start using
Enter natural language queries through the command line, such as 'Search for jobs that match Java development engineers'.

Usage examples

Search for jobsSearch for relevant jobs based on skills and salary requirements.
Update work experiencesUpload a resume or fill out a form to update work experiences.
Set career goalsDefine the industries or positions you want to engage in in the future.

Frequently Asked Questions

How can I obtain an API key?
Does it support Docker deployment?
Can multiple instances run simultaneously?

Related resources

LAPRAS official website
Learn more information and apply for an API key.
GitHub repository
View the source code and contribution guidelines.
Installation guide
Detailed installation steps.
Installation
Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.
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