mentor-mcp-server

Name: mentor-mcp-server
Author: cyanheads

@cyanheads

mentor-mcp-server について

A Model Context Protocol server providing LLM Agents a second opinion via AI-powered Deepseek-Reasoning R1 mentorship capabilities, including code review, design critique, writing feedback, and idea brainstorming through the Deepseek API.

#mcp #mentor #llm #llm-agent #ai-mentor #model-context-protocol

基本情報

カテゴリ

開発者ツール

ライセンス

Apache-2.0

ランタイム

node

トランスポート

stdio

公開者

cyanheads

設定

標準の設定はありません

このサーバーの README には解析可能な MCP 設定ブロックが含まれていません。インストール手順はリポジトリをご確認ください。

リポジトリ

ツール

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概要

What is mentor-mcp-server?

Mentor-mcp-server is a Model Context Protocol server that gives LLM Agents expert second opinions via the Deepseek-reasoning (R1) API. It provides code review, design critique, writing feedback, and idea brainstorming for developers and teams.

How to use mentor-mcp-server?

Clone the repository, install dependencies with npm install, and build with npm run build. Configure it by adding a mentor entry to your MCP client settings with your DEEPSEEK_API_KEY and optional model parameters, then invoke the provided tools (e.g., code_review, design_critique).

Key features of mentor-mcp-server

Comprehensive code reviews with bug detection
UI/UX design critiques and pattern recommendations
Writing feedback and documentation improvement
Feature enhancement brainstorming and feasibility analysis
Security and performance vulnerability assessment
Accessibility evaluation and consistency checks

Use cases of mentor-mcp-server

Review a TypeScript file for bugs, style, and security issues.
Get UI/UX feedback on a web design before implementation.
Improve technical documentation with grammar and clarity suggestions.
Brainstorm enhancements for a user authentication system.
Receive a second opinion on architectural decisions or planning.

FAQ from mentor-mcp-server

What API key is required?

A Deepseek API key is required. Set it as the DEEPSEEK_API_KEY environment variable.

What model does mentor-mcp-server use by default?

The default model is deepseek-reasoner, configurable via the DEEPSEEK_MODEL environment variable.

What tools are available?

Four tools: code_review, design_critique, writing_feedback, and brainstorm_enhancements. Each accepts specific arguments like file path or text.

How do I configure environment variables?

Add variables DEEPSEEK_API_KEY, DEEPSEEK_MODEL, DEEPSEEK_MAX_TOKENS, DEEPSEEK_MAX_RETRIES, and DEEPSEEK_TIMEOUT to the env block in your MCP client settings.