placed-interview-coach

Placed Interview Coach

AI-powered interview preparation via the Placed platform.

Prerequisites

Requires the Placed MCP server. Install via:

{
  "mcpServers": {
    "placed": {
      "command": "npx",
      "args": ["-y", "@exidian/placed-mcp"],
      "env": {
        "PLACED_API_KEY": "your-api-key",
        "PLACED_BASE_URL": "https://placed.exidian.tech"
      }
    }
  }
}

Get your API key at https://placed.exidian.tech/settings/api

Available Tools

• start_interview_session — Begin a mock interview for a specific role
• continue_interview_session — Answer questions and get real-time feedback
• get_interview_feedback — Get detailed performance analysis
• list_interview_cases — Browse system design cases
• start_system_design — Start a system design interview (URL Shortener, Twitter, Netflix, Uber)
• get_behavioral_questions — Get STAR-format behavioral questions
• save_story_to_bank — Save STAR stories for reuse across interviews

Interview Types

Technical Interviews (Coding)

To start a mock interview:

start_interview_session(
  resume_id="your-resume-id",
  job_title="Senior Software Engineer",
  difficulty="hard",
  company="Google"
)

To answer each question:

continue_interview_session(
  session_id="session-123",
  user_answer="I would use a hash map to store key-value pairs for O(1) lookup..."
)

To get feedback on performance:

get_interview_feedback(session_id="session-123")

System Design Interviews

To list available cases:

list_interview_cases()
# Returns: Design Twitter, Design URL Shortener, Design Netflix, Design Uber, etc.

To start a system design session:

start_system_design(
  case_id="design-twitter",
  difficulty="senior"
)

System Design Framework:

1. Requirements Clarification — Functional and non-functional requirements
2. High-Level Architecture — Components, data flow, APIs
3. Database Design — Schema, indexing, replication, sharding
4. Scalability — Load balancing, caching, CDN, horizontal scaling
5. Fault Tolerance — Redundancy, failover, monitoring
6. Trade-offs — CAP theorem, consistency vs. availability