LAPRAS MCP Server

What is LAPRAS MCP Server?

LAPRAS MCP Server is the official Model Context Protocol server for the LAPRAS career platform (lapras.com). It enables AI assistants to search for jobs and manage career data—such as work history, job summaries, career goals, and tech skills—stored in LAPRAS.

How to use LAPRAS MCP Server?

Install via npx, Docker, or a Desktop Extension (.dxt file). Add the server configuration to your MCP client’s settings (e.g., mcp.json or claude_desktop_config.json). For tools that modify career data, set LAPRAS_API_KEY (obtained from https://lapras.com/config/api-key). The server also works with Google’s Gemini CLI using the same JSON config (or TOML for gemini.conf.toml).

Key features of LAPRAS MCP Server

• Search jobs by keyword, page, and minimum salary.
• Get detailed information for a specific job listing.
• Retrieve, create, update, or delete work experience entries.
• Fetch and update job summary text.
• Get and update “want to do” career goals.
• View and update tech skills with years of experience.

Use cases of LAPRAS MCP Server

• Find jobs that match specific criteria (e.g., remote, Rust, ¥8M+ salary).
• Search for positions tailored to your existing career profile.
• Update your LAPRAS work history using a resume or career summary.
• Get coaching questions to improve your LAPRAS career entries.
• Sync your tech skills and career ambitions into LAPRAS.

FAQ from LAPRAS MCP Server

What is the LAPRAS_API_KEY for?

The API key is required only for tools that read or modify career data (experiences, summaries, skills, goals). It is not needed for job searching.

Where can I get a LAPRAS_API_KEY?

You can generate one from your LAPRAS account settings: https://lapras.com/config/api-key.

What if npx fails to connect?

If the npx method fails (e.g., due to Node.js environment issues), use the Docker version instead. On WSL, you need to pass environment variables directly in the command arguments.

Does the server send my personal data to the AI model?

Yes. Any data retrieved from LAPRAS (including personal information) is sent to the AI model for processing. Review the AI service’s data handling policies before using sensitive information.

What transport or authentication does the server use?

The server uses MCP (Model Context Protocol) over stdio. Authentication is handled via the LAPRAS_API_KEY environment variable set in the client configuration.