mentor-mcp-server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| DEEPSEEK_MODEL | Yes | Deepseek model name | deepseek-reasoner |
| DEEPSEEK_API_KEY | Yes | Your Deepseek API key | |
| DEEPSEEK_TIMEOUT | No | Request timeout (ms) | 30000 |
| DEEPSEEK_MAX_TOKENS | No | Maximum tokens per request | 8192 |
| DEEPSEEK_MAX_RETRIES | No | Number of retry attempts | 3 |
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Server capabilities have not been inspected yet.
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| second_opinionC | Provides a second opinion on a user's request by analyzing it with an LLM and listing critical considerations. |
| code_reviewC | Provides a code review for a given file or code snippet, focusing on potential bugs, style issues, performance bottlenecks, and security vulnerabilities. |
| design_critiqueB | Offers a critique of a design document, UI/UX mockup, or architectural diagram, focusing on usability, aesthetics, consistency, accessibility, and potential design flaws. |
| writing_feedbackC | Provides feedback on a piece of writing, such as an essay, article, or technical documentation, focusing on clarity, grammar, style, structure, and overall effectiveness. |
| brainstorm_enhancementsC | Generates creative ideas for improving a given concept, product, or feature, focusing on innovation, feasibility, and user value. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 5 tools
Each tool has a clearly distinct purpose targeting different domains: brainstorming, code review, design critique, second opinions, and writing feedback. There is no overlap in functionality, making it easy for an agent to select the appropriate tool without confusion.
All tool names follow a consistent snake_case pattern with a clear verb_noun structure (e.g., brainstorm_enhancements, code_review). This predictability enhances usability and aligns with common MCP conventions.
With 5 tools, the server is well-scoped for its mentoring/feedback purpose. Each tool serves a unique and valuable function, avoiding bloat while covering key areas like code, design, writing, and idea generation.
The toolset covers major feedback domains (code, design, writing, brainstorming) and includes a general second_opinion tool. A minor gap is the lack of a tool for project management or strategic planning feedback, but core mentoring workflows are well-supported.