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Glama

AI Agent Template MCP Server

by bswa006

create_maintenance_workflows

Design and implement workflows for AI context maintenance, enabling teams to manage updates, review tasks, and monitor metrics efficiently.

Instructions

Create team workflows for maintaining AI context quality over time

Input Schema

NameRequiredDescriptionDefault
analysisIdNoAnalysis ID from analyze_codebase_deeply
includeChecklistsNoInclude review checklists
includeMetricsNoInclude metrics dashboard
includeTrainingNoInclude training materials
projectPathYesPath to the project directory
teamSizeYesNumber of developers on the team
updateFrequencyYesHow often the team updates context

Input Schema (JSON Schema)

{ "properties": { "analysisId": { "description": "Analysis ID from analyze_codebase_deeply", "type": "string" }, "includeChecklists": { "description": "Include review checklists", "type": "boolean" }, "includeMetrics": { "description": "Include metrics dashboard", "type": "boolean" }, "includeTraining": { "description": "Include training materials", "type": "boolean" }, "projectPath": { "description": "Path to the project directory", "type": "string" }, "teamSize": { "description": "Number of developers on the team", "type": "number" }, "updateFrequency": { "description": "How often the team updates context", "enum": [ "daily", "weekly", "biweekly", "monthly" ], "type": "string" } }, "required": [ "projectPath", "teamSize", "updateFrequency" ], "type": "object" }

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/bswa006/mcp-context-manager'

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