mentor mcp server
Provides LLM Agents with AI-powered mentorship for code review, design critique, writing feedback, and brainstorming using the Deepseek API, enabling enhanced output in various development and strategic planning tasks.
Provides LLM Agents with AI-powered mentorship for code review, design critique, writing feedback, and brainstorming using the Deepseek API, enabling enhanced output in various development and strategic planning tasks.
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. Set your LLM Agent up for success with expert second opinions and actionable insights.
The Model Context Protocol (MCP) enables communication between:
# Clone the repository
git clone [email protected]:cyanheads/mentor-mcp-server.git
cd mentor-mcp-server
# Install dependencies
npm install
# Build the project
npm run build
Add to your MCP client settings:
{
"mcpServers": {
"mentor": {
"command": "node",
"args": ["build/index.js"],
"env": {
"DEEPSEEK_API_KEY": "your_api_key",
"DEEPSEEK_MODEL": "deepseek-reasoner",
"DEEPSEEK_MAX_TOKENS": "8192",
"DEEPSEEK_MAX_RETRIES": "3",
"DEEPSEEK_TIMEOUT": "30000"
}
}
}
}
Variable | Required | Default | Description |
---|---|---|---|
DEEPSEEK_API_KEY | Yes | - | Your Deepseek API key |
DEEPSEEK_MODEL | Yes | deepseek-reasoner | Deepseek model name |
DEEPSEEK_MAX_TOKENS | No | 8192 | Maximum tokens per request |
DEEPSEEK_MAX_RETRIES | No | 3 | Number of retry attempts |
DEEPSEEK_TIMEOUT | No | 30000 | Request timeout (ms) |
<use_mcp_tool>
<server_name>mentor-mcp-server</server_name>
<tool_name>code_review</tool_name>
<arguments>
{
"file_path": "src/app.ts",
"language": "typescript"
}
</arguments>
</use_mcp_tool>
<use_mcp_tool>
<server_name>mentor-mcp-server</server_name>
<tool_name>design_critique</tool_name>
<arguments>
{
"design_document": "path/to/design.fig",
"design_type": "web UI"
}
</arguments>
</use_mcp_tool>
<use_mcp_tool>
<server_name>mentor-mcp-server</server_name>
<tool_name>writing_feedback</tool_name>
<arguments>
{
"text": "Documentation content...",
"writing_type": "documentation"
}
</arguments>
</use_mcp_tool>
<use_mcp_tool>
<server_name>mentor-mcp-server</server_name>
<tool_name>brainstorm_enhancements</tool_name>
<arguments>
{
"concept": "User authentication system"
}
</arguments>
</use_mcp_tool>
Detailed examples of each tool's usage and output can be found in the examples directory:
Each example includes the request format and sample response, demonstrating the tool's capabilities and output structure.
# Build TypeScript code
npm run build
# Start the server
npm run start
# Development with watch mode
npm run dev
# Clean build artifacts
npm run clean
src/
├── api/ # API integration modules
├── tools/ # Tool implementations
│ ├── second-opinion/
│ ├── code-review/
│ ├── design-critique/
│ ├── writing-feedback/
│ └── brainstorm-enhancements/
├── types/ # TypeScript type definitions
├── utils/ # Utility functions
├── config.ts # Server configuration
├── index.ts # Entry point
└── server.ts # Main server implementation
Apache License 2.0. See LICENSE for more information.
[
{
"description": "Provides a second opinion on a user's request by analyzing it with an LLM and listing critical considerations.",
"inputSchema": {
"properties": {
"user_request": {
"description": "The user's original request (e.g., 'Explain Python to me' or 'Build a login system')",
"type": "string"
}
},
"required": [
"user_request"
],
"type": "object"
},
"name": "second_opinion"
},
{
"description": "Provides a code review for a given file or code snippet, focusing on potential bugs, style issues, performance bottlenecks, and security vulnerabilities.",
"inputSchema": {
"oneOf": [
{
"required": [
"file_path",
"language"
]
},
{
"required": [
"code_snippet",
"language"
]
}
],
"properties": {
"code_snippet": {
"description": "Optional small code snippet for quick reviews (alternative to file_path)",
"type": "string"
},
"file_path": {
"description": "The full path to the local file containing the code to review",
"type": "string"
},
"language": {
"description": "The programming language of the code",
"type": "string"
}
},
"type": "object"
},
"name": "code_review"
},
{
"description": "Offers a critique of a design document, UI/UX mockup, or architectural diagram, focusing on usability, aesthetics, consistency, accessibility, and potential design flaws.",
"inputSchema": {
"properties": {
"design_document": {
"description": "A description or URL to the design document/image",
"type": "string"
},
"design_type": {
"description": "Type of design (e.g., 'web UI', 'system architecture', 'mobile app')",
"type": "string"
}
},
"required": [
"design_document",
"design_type"
],
"type": "object"
},
"name": "design_critique"
},
{
"description": "Provides feedback on a piece of writing, such as an essay, article, or technical documentation, focusing on clarity, grammar, style, structure, and overall effectiveness.",
"inputSchema": {
"properties": {
"text": {
"description": "The text to review",
"type": "string"
},
"writing_type": {
"description": "The type of writing (e.g., 'essay', 'article', 'documentation')",
"type": "string"
}
},
"required": [
"text",
"writing_type"
],
"type": "object"
},
"name": "writing_feedback"
},
{
"description": "Generates creative ideas for improving a given concept, product, or feature, focusing on innovation, feasibility, and user value.",
"inputSchema": {
"properties": {
"concept": {
"description": "A description of the concept, product, or feature to enhance",
"type": "string"
}
},
"required": [
"concept"
],
"type": "object"
},
"name": "brainstorm_enhancements"
}
]