AI Agent Template MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
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 |
|---|---|
| check_before_suggestingA | CRITICAL: AI must use this before suggesting any code to prevent hallucinations |
| validate_generated_codeC | Validate generated code for patterns, security, and best practices |
| get_pattern_for_taskC | Get the correct pattern to use for a specific task |
| check_security_complianceC | Check code for security vulnerabilities and compliance |
| detect_existing_patternsC | Analyze existing codebase to detect patterns and conventions |
| initialize_agent_workspaceC | Initialize AI agent workspace with template files and context |
| generate_tests_for_coverageC | Generate intelligent tests to achieve 80%+ coverage |
| track_agent_performanceC | Track and analyze AI agent performance metrics |
| create_conversation_startersC | Create conversation starters to help AI understand project context quickly |
| create_token_optimizerC | Create tiered context files for token optimization with ROI tracking |
| create_ide_configsC | Create IDE-specific configurations for Cursor, VS Code, and IntelliJ |
| setup_persistence_automationC | Set up automated context updates with monitoring and validation |
| create_maintenance_workflowsC | Create team workflows for maintaining AI context quality over time |
| analyze_codebase_deeplyC | Perform comprehensive analysis of codebase to understand patterns, tech stack, and architecture |
| complete_setup_workflowC | Complete MCP setup workflow: analyze codebase, create all context files, and configure automation |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
| before_generating_code | AI MUST use this prompt before generating any code |
| validate_my_suggestion | AI should validate its own code before presenting to user |
| check_patterns | AI checks if it is following project patterns correctly |
| prevent_hallucination | AI verifies all imports and methods exist before using them |
| security_self_check | AI checks its own code for security issues |
| workflow_guidance | Get workflow guidance for specific tasks |
| performance_check | Track agent performance after completing a feature |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
| AI Constraints & Rules | CRITICAL: Rules and constraints AI must follow when generating code |
| Current Code Patterns | REQUIRED: Patterns to match when generating new code |
| Hallucination Prevention Guide | IMPORTANT: Common AI mistakes and how to avoid them |
| Naming Conventions | MANDATORY: Exact naming patterns to follow |
| Security Requirements | CRITICAL: Security patterns that must be followed |
| Valid API Signatures | REFERENCE: Correct API methods and signatures to use |
| Error Handling Patterns | REQUIRED: How to handle errors, loading, and edge cases |
| Agent Memory | Persistent memory of patterns, successes, and learnings |
| Agent Context | Real-time context tracking for current development session |
| Pattern Library | Comprehensive library of code patterns for different scenarios |
| Workflow Templates | Step-by-step workflows for common development tasks |
| Test Patterns | Testing patterns and strategies for 80%+ coverage |