广告合作
MCP.so
登录
A

AI candidate scoring via MCP. Score resumes against job descript…

@Spaceghost99

代码仓库

基本信息

分类

AI 与智能体

传输方式

stdio

作者

Spaceghost99

提交者

Spaceghost99

关于 AI candidate scoring via MCP. Score resumes against job descriptions with Claude — returns dimension scores, strengths, and gaps.

hrmcp-server is an MCP-native server for HR and recruiting workflows. Send a resume and job description, get back structured scores across four dimensions (skills match, experience, industry background, education), plus specific strengths and gaps grounded in the actual content.

#recruiting#hr#candidate-scoring#mcp#anthropic#typescript

AI candidate scoring via MCP. Score resumes against job descriptions with Claude — returns dimension scores, strengths, and gaps. 配置

暂无标准配置

该服务器的 README 中没有可解析的 MCP 配置块，请前往代码仓库查看安装说明。

代码仓库

AI candidate scoring via MCP. Score resumes against job descriptions with Claude — returns dimension scores, strengths, and gaps. 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is AI candidate scoring via MCP?

AI candidate scoring via MCP is a source-available MCP server for HR and recruiting workflows. It scores candidate resumes against job descriptions using Claude, returning structured dimension scores, strengths, and gaps. Any agent framework that speaks MCP can call it natively.

How to use AI candidate scoring via MCP?

Use the hosted API at recruitapi.app without running anything, or self-host by deploying to Railway in under 15 minutes. Send a POST /score-candidate request with resume_text and job_description fields, and optionally custom weights and recency_window_years. Pass an API key via X-API-Key or Authorization: Bearer header.

Key features of AI candidate scoring via MCP

  • Scores candidates on four configurable dimensions with overall score (0–100)
  • Returns 2–4 grounded strengths and gaps per candidate
  • Supports idempotency caching for 24 hours with a header
  • Self-hostable on Railway or locally with Anthropic API key
  • Credit-based billing: 100 credits for $5, expire after 180 days
  • Rolling rate limits: 30 requests/minute and 500 requests/day per key

Use cases of AI candidate scoring via MCP

  • Automatically score a batch of resumes against a job description
  • Integrate candidate scoring into an existing agent or workflow via MCP
  • Self-host a private scoring system without sending data to third parties

常见问题

1

How do I get an API key for AI candidate scoring via MCP?

API keys are issued after a credit purchase. Visit hrmcp-server-production.up.railway.app/billing to buy credits and receive a key.

2

What are the input requirements for the resume and job description?

Both text fields must be between 50 and 15,000 characters. The resume must be at least 50 words; the job description may trigger a warning if under 30 words.

3

What happens if I exceed the rate limits?

The server returns a 429 status with code `rate_limit_exceeded`. Each response includes `X-RateLimit-*` headers showing remaining capacity. Self-hosted deployments can disable rate limiting with `RATE_LIMIT_ENABLED=false`.

4

Can I run AI candidate scoring via MCP locally without a database?

Yes. Scoring works without a database. Auth and billing require Postgres, but local development can test scoring with just `ANTHROPIC_API_KEY`.

5

What weights does AI candidate scoring via MCP use by default?

Default weights are: skills_match 0.40, experience 0.30, industry_background 0.20, education 0.10. Custom weights can be provided and must sum to 1.0 with each value between 0.0 and 1.0.

评论

AI 与智能体 分类下的更多 MCP 服务器

q-ring

I4cTime

Quantum-inspired keyring for AI coding agents. Secure secrets with superposition, entanglement, tunneling, and teleportation — CLI + 44 MCP tools.

3

Melaya

Melaya Labs

**Melaya gives an AI assistant hands.** It is a remote MCP server, so there is nothing to install and no API key to configure — one URL works in Claude, ChatGPT, Le Chat, Cursor and any MCP client. ### Your Android phon

Poly-Glot AI Workspace

hmoses

1,000+ fully localized prompt templates across 40+ categories. Compare Mode — send the same prompt to up to 9 AI providers (ChatGPT, Claude, Gemini, Grok, Groq, Copilot, Mistral, Perplexity, DuckDuckGo AI) and compare an

Nero AI Image Processing

nero-com

We provide AI-powered tools for image enhancement, upscaling, background removal, photo restoration, colorization, denoising, and compression. All features are available through our API documentation.

CrawlForge MCP Server

mysleekdesigns

28-tool MCP server for web scraping, crawling, deep research & autonomous extraction — clean Markdown & structured JSON for Claude, Cursor & any MCP client. 1,000 free one-time credits, local-Ollama LLM support.

2
广告合作