Schema | AI Agent Template MCP Server

AI Agent Template MCP Server

Describes the environment variables required to run the server.

Name	Required	Description	Default
No arguments

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.

Server capabilities have not been inspected yet.

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

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

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

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