Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Schema
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
| deep-reasoning | Use advanced AI reasoning to solve complex problems requiring deep analysis |
| investigate | Thoroughly investigate any topic with configurable depth of analysis |
| research | Conduct thorough research on any topic with multiple output formats |
| list-ai-models | Show all available AI models and their configuration status |
| analyze-code | Analyze code for architecture, performance, security, or quality issues |
| review-code | Review code for bugs, security issues, performance, or style problems |
| debug-issue | Debug technical issues with systematic problem-solving approach |
| plan-feature | Plan feature implementation with comprehensive step-by-step approach |
| generate-docs | Generate comprehensive documentation in various formats |
| challenge | Challenge a statement or assumption with critical thinking |
| consensus | Get consensus from multiple AI models on a proposal or decision |
| planner | Create detailed multi-step plans with revisions and branching support |
| precommit | Validate code changes before committing with comprehensive checks |
| secaudit | Comprehensive security audit for code and configurations |
| tracer | Trace execution flow and debug complex code relationships |
| ultra-review | Comprehensive step-by-step code review with detailed analysis |
| ultra-analyze | Deep step-by-step code analysis with architectural insights |
| ultra-debug | Systematic step-by-step debugging with root cause analysis |
| ultra-plan | Advanced multi-step feature planning with revisions and branches |
| ultra-docs | Comprehensive step-by-step documentation generation |
| index-vectors | Index project files for semantic search using vector embeddings |
| search-vectors | Search indexed code files using natural language queries |
| clear-vectors | Clear all indexed vectors for a project |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| deep-reasoning | Use advanced AI models for deep reasoning and complex problem-solving. Supports GPT-5 for OpenAI/Azure and Gemini 2.5 Pro with Google Search. |
| investigate | Investigate topics thoroughly with configurable depth |
| research | Conduct comprehensive research with multiple output formats |
| list-ai-models | List all available AI models and their configuration status |
| analyze-code | Analyze code for architecture, performance, security, or quality issues |
| review-code | Review code for bugs, security issues, performance, or style problems |
| debug-issue | Debug technical issues with systematic problem-solving approach |
| plan-feature | Plan feature implementation with step-by-step approach |
| generate-docs | Generate documentation in various formats |
| challenge | Challenge a statement or assumption with critical thinking |
| consensus | Get consensus from multiple AI models on a proposal |
| planner | Multi-step planning with revisions and branches |
| precommit | Pre-commit validation for code changes |
| secaudit | Security audit for code and configurations |
| tracer | Trace execution flow and debug complex issues |
| ultra-review | Comprehensive code review with step-by-step workflow analysis |
| ultra-analyze | Comprehensive code analysis with step-by-step workflow |
| ultra-debug | Systematic debugging with step-by-step root cause analysis |
| ultra-plan | Multi-step feature planning with revisions and branches |
| ultra-docs | Generate comprehensive documentation with step-by-step workflow |
| index-vectors | Index project files for semantic search using vector embeddings |
| search-vectors | Search for files and code snippets using natural language queries |
| clear-vectors | Clear all indexed vectors for a project |