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Laddro Career MCP Server

@laddro-app

代码仓库

基本信息

分类

AI 与智能体

传输方式

stdio

作者

laddro-app

提交者

Oussama Bentaib

关于 Laddro Career MCP Server

MCP server for the Laddro Career API. Tailor resumes to job postings, generate cover letters, export PDFs, and browse 22 resume templates. Supports BYOK with 10 AI providers including OpenAI, Anthropic, Gemini, DeepSeek, and Groq.

#resume#career#cover-letter#pdf#ai#job-search#tailoring#byok

Laddro Career MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "laddro-career": {
      "command": "npx",
      "args": [
        "-y",
        "@laddro/career-mcp"
      ],
      "env": {
        "LADDRO_API_KEY": "<YOUR_API_KEY>"
      }
    }
  }
}

Laddro Career MCP Server 工具

18

List all available resume templates with ATS scores and layout types

Get full details for a template including color schemes, fonts, and preview images

List all available font families for resume and cover letter rendering

List all 14 supported languages and locales for resume content

List all supported AI providers and models for Bring Your Own Key (BYOK)

List the authenticated user's resumes with pagination support

Get metadata and content for a specific resume by its ID

Render a resume as PDF with specific template and styling settings. Costs 1 API credit.

AI-tailor a resume for a specific job posting. Rewrites content to match the job description and returns a PDF. Provide either jobDescription or jobUrl.

Export a resume as a downloadable PDF file with optional template and styling settings. Costs 1 API credit.

List the authenticated user's cover letters with pagination support

Get metadata and content for a specific cover letter by its ID

Create a new cover letter manually with provided contact details and letter content

AI-generate a personalized cover letter based on a resume and job description. Returns a PDF.

Render a saved cover letter as PDF with template and styling settings. Costs 1 API credit.

Get the current AI provider and model configuration for the authenticated user

Configure the AI provider and model for BYOK (Bring Your Own Key). Saves an encrypted API key for the chosen provider.

Remove the saved AI provider configuration, reverting to Laddro's default AI model

概览

What is Laddro Career?

Laddro Career is an MCP server that gives AI agents access to the Laddro Career API for resume tailoring, cover letter generation, PDF export, and template browsing.

How to use Laddro Career?

Install via npx and configure with a LADDRO_API_KEY environment variable in your Claude Desktop config, or add as a tool via Claude Code. A hosted Streamable HTTP endpoint is also available at https://mcp.laddro.com/mcp with API key sent in the Authorization header.

Key features of Laddro Career

  • Browse all 22 resume templates
  • AI-tailor resumes for specific jobs
  • Generate cover letters from resumes and job details
  • Export resumes as PDF
  • Configure bring-your-own-key AI providers

Use cases of Laddro Career

  • Tailoring an existing resume to match a job description
  • Generating a professional cover letter from a resume and job posting
  • Exporting a finalized resume as a PDF file
  • Changing the template or font styling on a resume
  • Managing multiple resumes and cover letters programmatically

常见问题

1

How do I get an API key?

You need a Laddro API key (`laddro_live_...`). Set it as the environment variable `LADDRO_API_KEY`.

2

Can I use a hosted version instead of running locally?

Yes, use the remote Streamable HTTP endpoint at `https://mcp.laddro.com/mcp` and pass your API key via `Authorization: Bearer` or `x-api-key` header.

3

What languages and fonts are supported?

There are 14 supported locales and all available font families can be listed via the `laddro.fonts.list` tool.

4

Can I bring my own AI model?

Yes, you can set and remove a custom AI provider configuration using the settings tools (`laddro.settings.updateModel`).

5

What format are exported resumes in?

Exported resumes are generated as PDF files via the `laddro.resumes.export` tool.

评论

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