io.github.tosin2013由 GitHub 账号 tosin2013 发布v2.14.19更新于 Nov 3, 2026
ADR drift detection, content safety, and decision memory for architectural decisions
本地 MCP 服务器，用实际代码校验架构决策记录（ADR），并支持敏感内容脱敏与跨会话决策记忆。
Desktop only，通过 STDIO。 STDIO 服务会启动本地进程，因此需要 SourceWeft 桌面宿主。
参照 仓库 中的启动说明。
[GitHub] [License] [NPM Version] [Node.js] [TypeScript] [Good First Issues]
Your ADRs are lying to you. This MCP server catches it — live drift detection validates architectural decisions against your actual code. Plus content safety, decision memory, and 63 tools powered by your host LLM via CE-MCP.
The Model Context Protocol (MCP) is an open standard that enables seamless integration between AI assistants and external tools and data sources. Think of it as a universal adapter that lets AI assistants like Claude, Cline, and Cursor connect to specialized servers. This server gives your AI assistant the ability to detect ADR drift against live code, mask sensitive content before it leaks, and remember architectural decisions across conversations.
What: MCP server that validates architectural decisions against your actual code — drift detection, content safety, and decision memory
Who: AI coding assistants (Claude, Cline, Cursor, Windsurf), enterprise architects, development teams
Why: Catch stale ADRs before they cause production incidents — live validation against code evidence, no API key required
How: npm install -g mcp-adr-analysis-server → Add to your MCP client → Start analyzing
Key Features: Tree-sitter AST analysis • Security content masking • Drift detection • CE-MCP orchestration directives • Deployment readiness validation
Author: Tosin Akinosho | Repository: GitHub | Version: 2.14.12
🔄 Drift Detection - Validate ADR decisions against live code and infrastructure evidence 🛡️ Content Safety - Detect and mask secrets, PII, and sensitive content automatically 🧠 Decision Memory - Session & tool-usage tracking with keyword-scored retrieval 🏗️ Technology Detection - Identify any tech stack and architectural patterns 📋 ADR Management - Generate, suggest, and maintain Architectural Decision Records 🔗 Smart Code Linking - Discovery of code files related to ADRs and decisions 🚀 Deployment Readiness - Zero-tolerance test validation with hard blocking
📖 View Full Capabilities → · 📜 Release policy → · 🗒️ Changelog →
Before installing, verify you have:
Required:
npm install for native module compilation (tree-sitter incremental code parsers for YAML and TypeScript)HTTP_PROXY and HTTPS_PROXY environment variablesNote: When installing from source,
npm run buildis required before running the server since thebinentry points to./dist/src/index.js.
📖 Detailed Installation Guide → | RHEL Setup →
npm install -g mcp-adr-analysis-serverThat's it. The server runs in CE-MCP mode by default — your host LLM (Claude, GPT, etc.) executes the analysis using orchestration directives returned by the tools. No external API key needed.
Claude Desktop users: Save this JSON to
~/Library/Application Support/Claude/claude_desktop_config.json(macOS) or%APPDATA%\Claude\claude_desktop_config.json(Windows).
📖 VS Code Integration Guide → — step-by-step setup for Cline, Continue, and VS Code native MCP with example configs.
If you want the server to make its own AI calls (bypassing the host LLM), add an OpenRouter API key:
Sign up at OpenRouter.ai/keys. This mode is not recommended — CE-MCP produces equivalent results using your existing host LLM context.
Get your API key at adraggregator.com
📖 Full Configuration Guide → | Client Setup →
What are CE-MCP directives? When a tool is called, it returns a structured orchestration directive that tells your host LLM what to analyze, what data to gather, and how to format results. The host LLM (e.g. Claude in Claude Desktop, or GPT in Cursor) executes the directive using its existing context window. This means zero additional API costs and better results because the LLM already has your conversation context.
Just ask your MCP client in natural language — no code required:
"Analyze this React project's architecture and suggest ADRs for any implicit decisions"
"Generate ADRs from the PRD.md file and create a todo.md with implementation tasks"
"Check this codebase for security issues and provide masking recommendations"
The server returns structured analysis and orchestration directives that your host LLM executes in context.
If you're integrating the server into your own tooling via the MCP SDK:
📖 Complete Usage Guide → | API Reference →
Try it out: This repo includes a
sample-project/directory with example ADRs and source code. PointPROJECT_PATHat it to experiment without affecting your own codebase.Note: The sample project is only available when cloning from source (Option 3 above). If you installed via npm (Option 1 or 2), create your own test project or clone the repo separately to access the sample:
git clone --depth 1 https://github.com/tosin2013/mcp-adr-analysis-server.git sample-test
👨💻 AI Coding Assistants - Enhance Claude, Cline, Cursor with architectural intelligence
💬 Conversational AI - Answer architecture questions with confidence scoring
🤖 Autonomous Agents - Continuous analysis and rule enforcement
🏢 Enterprise Teams - Portfolio analysis and migration planning
Runtime: Node.js 20+ • Language: TypeScript • Framework: MCP SDK • Testing: Vitest (~49% statements, enforced floor) Search: ripgrep (fast recursive text search) + fast-glob (file matching) • AI Integration: CE-MCP orchestration directives (host LLM) • Code Analysis: tree-sitter (incremental code parser) + Smart Code Linking
📖 Technical Details → | CE-MCP Migration Playbook →
ADR Aggregator is a platform for cross-team ADR visibility and governance. It provides:
Note: ADR Aggregator is optional. All core analysis features work without it.
Benefits: Cross-team visibility • Staleness alerts • Compliance tracking • Organization-wide knowledge graph
📖 ADR Aggregator Guide → | 📖 MCP Integration Guide →
Quality Standards: TypeScript strict mode • ESLint • enforced coverage floor • Pre-commit hooks
API documentation is generated with TypeDoc:
Then open http://localhost:8080 in your browser. Markdown documentation lives in docs/ and can be browsed directly on GitHub.
📖 Development Guide → | Contributing →
Common Issues:
EXECUTION_MODE=full + OPENROUTER_API_KEYnpm install && npm run build📖 Complete Troubleshooting Guide →
Security: Automatic secret detection • Content masking • Local processing • Zero trust
Performance: Multi-level caching • Incremental analysis • Parallel processing • Memory optimization
📖 Security Guide → | Performance →
Found a security issue? Please read our Security Policy for responsible disclosure procedures. Do not create public issues for security vulnerabilities.
We welcome contributions! Whether you're fixing bugs, adding features, or improving documentation, your help is appreciated.
git clone https://github.com/YOUR_USERNAME/mcp-adr-analysis-server.gitgit checkout -b feature/your-feature-namenpm test (do not drop below the coverage floor)Work is tracked in GitHub milestones, and milestone membership is what marks an issue as admitted.
Architectural direction lives in docs/adrs/; release cadence is in
RELEASES.md.
Looking for a good first issue? Check out our good first issues - these are beginner-friendly tasks perfect for getting started!
New to open source? Our Contributing Guide walks you through the entire process step-by-step.
Use our issue templates when reporting bugs or requesting features. Templates help us understand and resolve issues faster.
Standards: TypeScript strict • enforced coverage floor • ESLint • Security validation • MCP compliance
📖 Full Contributing Guide → | Code of Conduct →
Official: MCP Specification • MCP SDK
Community: MCP Registry • Discord
Project: ADRs • Progress • Publishing Guide
MIT License - see LICENSE file for details.
Built with ❤️ by Tosin Akinosho for AI-driven architectural analysis
Empowering AI assistants with drift detection, content safety, and decision memory via CE-MCP orchestration directives.
来源：README.md，提交 0d4c15b
Analyze Project Ecosystem
Comprehensive recursive project ecosystem analysis with advanced prompting techniques (Knowledge Generation + Reflexion)
projectPathenhancedModeanalysisDepthanalysisScoperecursiveDepthincludePatternslearningEnabledtechnologyFocusincludeEnvironmentknowledgeEnhancementGet Architectural Context
Get detailed architectural context for specific files or the entire project, automatically sets up ADR infrastructure if missing, and provides outcome-focused workflow for project success
filePathincludeComplianceGenerate ADRs from PRD
Generate Architectural Decision Records from a Product Requirements Document with advanced prompting techniques (APE + Knowledge Generation)
prdPath必填prdTypeenhancedModeoutputDirectorypromptOptimizationknowledgeEnhancementCompare ADR Progress
Compare TODO.md progress against ADRs and current environment to validate implementation status
todoPathstrictModeenvironmentprojectPathadrDirectoryvalidationTypedeepCodeAnalysisenvironmentConfigincludeFileChecksfunctionalValidationenvironmentValidationincludeRuleValidationAnalyze Content Security
Analyze content for sensitive information using AI-powered detection with optional memory integration for security pattern learning
content必填contentTypeenhancedModeuserDefinedPatternsknowledgeEnhancementenableMemoryIntegrationGenerate Content Masking
Generate masking instructions for detected sensitive content
content必填detectedItems必填maskingStrategyConfigure Custom Patterns
Configure custom sensitive patterns for a project
projectPath必填existingPatternsApply Basic Content Masking
Apply basic content masking (fallback when AI is not available)
content必填maskingStrategyValidate Content Masking
Validate that content masking was applied correctly
maskedContent必填originalContent必填Manage Cache
Manage MCP resource cache (clear, stats, cleanup)
keyaction必填Configure Output Masking
Configure content masking for all MCP outputs
actionenabledstrategycustomPatternsSuggest ADRs
Suggest architectural decisions with advanced prompting techniques (Knowledge Generation + Reflexion). TIP: Read @.mcp-server-context.md first for project history, patterns, and previous ADRs to ensure consistency.
afterCodebeforeCodeprojectPathanalysisTypeenhancedModeexistingAdrscommitMessageslearningEnabledchangeDescriptionconversationContextknowledgeEnhancementGenerate ADR from Decision
Generate a complete ADR from decision data. TIP: Reference @.mcp-server-context.md to align with existing architectural patterns and decisions.
adrDirectorydecisionData必填existingAdrstemplateFormatGenerate ADR Bootstrap
Generate bootstrap.sh and validate_bootstrap.sh scripts to ensure deployed code follows ADR requirements. **CRITICAL**: Before generating scripts, use WebFetch to query the base code repository (e.g., https://github.com/validatedpatterns/common for OpenShift) and authoritative pattern documentation (e.g., https://play.validatedpatterns.io/). Merge the base repository code into your project and have bootstrap.sh call the pattern's scripts rather than generating everything from scratch. This ensures compliance with validated deployment patterns.
outputPathscriptTypeprojectPathadrDirectoryincludeTestscustomValidationsincludeDeploymentBootstrap Validation Loop
**GUIDED EXECUTION MODE**: This tool guides you through an interactive, step-by-step deployment validation workflow. It does NOT execute commands internally - instead, it tells YOU what commands to run and processes the results iteratively. **Workflow**: (1) First call with iteration=0: Detects platform (OpenShift/K8s/Docker), validates environment connection, and requests human approval for target platform. (2) Subsequent calls: After running each command and reporting back with output, the tool provides next steps. **Environment Validation**: Before deployment, the tool verifies connection to the target platform (e.g., `oc status` for OpenShift, `kubectl cluster-info` for K8s) and requires explicit human confirmation. **Validated Patterns Integration**: Automatically identifies base code repositories (e.g., validatedpatterns/common for OpenShift) and guides you to merge them into your project. **Deployment Cleanup**: Supports CI/CD-style workflows with deployment teardown/restart guidance. **Call this tool iteratively**, passing previous command output back each time.
autoFixappSelectorprojectPathadrDirectorymaxIterationscurrentIterationtargetEnvironmentpreviousExecutionOutputupdateAdrsWithLearningspreviousExecutionSuccessdeploymentCleanupRequestedDiscover Existing ADRs
Discover and catalog existing ADRs in the project
adrDirectoryincludeContentAnalyze ADR Timeline
Analyze ADR timeline with smart time tracking, adaptive thresholds, and actionable recommendations. Auto-detects project context (startup/growth/mature) and generates prioritized work queue based on staleness, implementation lag, and technical debt.
projectPathadrDirectoryforceExtractincludeContentgenerateActionsthresholdProfileautoDetectContextReview Existing ADRs
Review existing ADRs against actual code implementation with cloud/DevOps expertise. TIP: After review, call get_server_context to update @.mcp-server-context.md with findings.
projectPathspecificAdradrDirectoryanalysisDepthincludeTreeSittergenerateUpdatePlanValidate ADR
Validate an existing ADR against actual infrastructure reality using research-driven analysis. TIP: Compare findings against patterns in @.mcp-server-context.md for consistency checks.
adrPath必填projectPathadrDirectoryconfidenceThresholdincludeEnvironmentCheckValidate All ADRs
Validate all ADRs in a directory against actual infrastructure reality
projectPathadrDirectoryminConfidenceincludeEnvironmentCheckIncorporate Research
Incorporate research findings into architectural decisions
adrIdupdateTypeadrDirectoryanalysisTyperesearchPathexistingTopicsresearchTopicsresearchFindingsCreate Research Template
Create a research template file for documenting findings
title必填categoryresearchPathRequest Action Confirmation
Request confirmation before applying research-based changes
action必填impactdetails必填Generate Rules
Generate architectural rules from ADRs and code patterns
sourceprojectPathadrDirectoryoutputFormatexistingRulesValidate Rules
Validate code against architectural rules
rules必填fileNamefilePathfileContentreportFormatvalidationTypeCreate Rule Set
Create machine-readable rule set in JSON/YAML format
name必填rulesauthoradrRulesdescriptionoutputFormatpatternRulesAnalyze Environment
Analyze environment context and provide optimization recommendations with optional memory integration for environment snapshot tracking
projectPathadrDirectoryanalysisTyperequirementsindustryStandardscurrentEnvironmentenableTrendAnalysisenableMemoryIntegrationGenerate Research Questions
Generate context-aware research questions and create research tracking system
problemsprojectPathadrDirectoryanalysisTypeknowledgeGraphcurrentProgressresearchContextrelevantKnowledgeresearchQuestionsPerform Research
Perform research using cascading sources: project files → session/tool-usage tracker → environment resources → web search (fallback)
question必填projectPathadrDirectoryperformWebSearchresearchDirectoryconfidenceThresholdSearch Codebase
Atomic tool for searching codebase files based on query patterns. Returns raw file matches with relevance scores. Extracted from ResearchOrchestrator per ADR-018.
query必填scopemaxFilesprojectPathincludeContentenableTreeSitterrelevanceThresholdAnalyze Deployment Progress
Analyze deployment progress and verify completion with outcome rules
cicdLogstodoPathcicdStatusadrDirectoryanalysisTypeoutcomeRulesactualOutcomespipelineConfigdeploymentTasksenvironmentStatusGet Workflow Guidance
Get intelligent workflow guidance and tool recommendations based on your goals and project context to achieve expected outcomes efficiently
goal必填timeframeprojectContext必填availableAssetsprimaryConcernsGet Development Guidance
Get comprehensive development guidance that translates architectural decisions and workflow recommendations into specific coding tasks, implementation patterns, and development roadmap
timelinefocusAreasteamContextadrsToImplementcurrentProgresstechnologyStackdevelopmentPhase必填Generate Deployment Guidance
Generate deployment guidance and instructions from ADRs with environment-specific configurations
formatenvironmentprojectPathadrDirectorygenerateFilesincludeConfigsincludeScriptsincludeRollbacktechnologyFilterincludeValidationcustomRequirementsSmart Git Push
AI-driven security-focused git push with credential detection, file filtering, and deployment metrics tracking. Tests should be run by calling AI and results provided.
branchdryRunmessageforceUnsafeprojectPathtestResultsskipSecurityCheck Deployment Readiness
Comprehensive deployment readiness validation with test failure tracking, deployment history analysis, and hard blocking for unsafe deployments. Integrates with smart_git_push for deployment gating.
operation必填strictModeprojectPathallowMockCodeemergencyBypassmaxTestFailuresapprovalRequiredmaxRecentFailurestargetEnvironmenttestSuiteRequiredintegrateTodoTasksmockCodeMaxAllowed另有 12 个Track Releases
Track releases mapped to ADR decisions. Generates changelogs, manages milestones, compares releases, and assesses release readiness. Supports greenfield and brownfield projects. Writes CHANGELOG.md, creates GitHub Releases and Milestones.
formatversioncompareTolocalOnlyoperation必填groupByAdrupdateTodocompareFromprojectPathwriteToFilemilestoneTitleincludeAdrLinks另有 9 个Generate ADR Todo
Generate TODO.md from ADRs with comprehensive task breakdown. Decomposes each ADR into paired test+production tasks (TDD), links tasks to release milestones, and preserves manual edits via a bounded HTML-comment section. Re-runs are idempotent; tasks for deleted/superseded ADRs move to a Stale Tasks section.
phasescopedryRuntodoPathprojectPathadrDirectorylinkToMilestonesTroubleshoot Guided Workflow
Structured failure analysis and test plan generation with memory integration for troubleshooting session tracking and intelligent ADR/research suggestion capabilities - provide JSON failure info to get specific test commands
failuretodoPathoperation必填projectPathadrDirectoryenableAdrSuggestionenableMemoryIntegrationenablePatternRecognitionenableResearchGenerationSmart Score
Central coordination for project health scoring system - recalculate, sync, diagnose, optimize, and reset scores across all MCP tools
intentIdtodoPathcomponentoperation必填componentsforceUpdatepreviewOnlyprojectPath必填analysisModetriggerToolscustomWeightsupdateSources另有 6 个MCP Planning
Enhanced project planning and workflow management tool - phase-based project management, team resource allocation, progress tracking, risk analysis, and executive reporting
teamactionformatphasesphaseIdmemberIdoperation必填phaseDatatimeframememberDatareportTypedescription另有 14 个Interactive ADR Planning
Interactive guided ADR planning and creation tool - walks users through structured decision-making process with research integration, option evaluation, and automatic ADR generation. TIP: Start by reading @.mcp-server-context.md to understand project context and previous decisions.
inputoperation必填sessionIdprojectPath必填autoResearchgenerateTodosLoad Memory
Advanced memory loading tool for the memory-centric architecture. Query, explore, and manage memory entities and relationships. Load ADRs into memory system and perform intelligent queries.
queryactionentityIdmaxDepthforceReloadExpand Analysis Section
Retrieve full analysis content from tiered responses. Expand entire analysis or specific sections stored in memory. Use this when a tool returns a summary with an expandable ID.
formatsectionexpandableId必填Tool Chain Orchestrator
AI-powered dynamic tool sequencing - intelligently analyze user requests and generate structured tool execution plans
maxStepsuserRequest必填contextHintsallowParallelexecutionModeavailableToolsExpand Memory
Phase 3: Retrieve and expand stored content from a tiered response using its expandable ID
sectionexpandableId必填includeContextQuery Conversation History
Phase 3: Search and retrieve conversation sessions based on filters
limitkeyworddateRangetoolsUsedprojectPathGet Conversation Snapshot
Phase 3: Get current conversation context snapshot for resumption or analysis
recentTurnCountGet Memory Stats
Phase 3: Get statistics about stored conversation memory
无需输入参数。
Update Knowledge
ADR-018: Simple CRUD operations for project session state. Not a graph database — keyword retrieval over local JSON snapshots. Add/remove entities (intents, ADRs, tools, code) and relationships. Use knowledge://graph resource to read current state (zero token cost).
entitysourcetargetmetadataoperation必填entityTyperelationshipGet Server Context
Generate a comprehensive context file showing the server's current state, memory, and capabilities. Creates .mcp-server-context.md that can be @ referenced in conversations for instant LLM awareness
outputPathwriteToFilemaxRecentItemsincludeDetailedSet Project Path
Dynamically set the active project path for the current session. Call this at the start of a session to switch between projects without restarting the server or modifying environment variables. All subsequent tool calls will use this path as the default.
path必填validatePathSync to Aggregator
Sync ADRs to ADR Aggregator platform (https://adraggregator.com) for centralized tracking, visualization, and team collaboration. Supports incremental and full sync modes with optional metadata.
adr_pathsfull_syncprojectPathinclude_diagramsinclude_metadatainclude_timelineinclude_code_linksinclude_security_scanGet ADR Context
Fetch ADR context from ADR Aggregator including summaries, diagrams, timeline data, and code links. Useful for getting a consolidated view of architectural decisions.
graph_depthprojectPathinclude_diagramsinclude_researchinclude_timelinestaleness_filterinclude_code_linksGet Staleness Report
Get ADR staleness report from ADR Aggregator with review compliance metrics. Identifies stale ADRs that need attention and provides governance insights.
thresholdprojectPathGet ADR Templates
Get domain-specific ADR templates and anti-patterns from ADR Aggregator. Includes best practices for web applications, microservices, APIs, and more. No authentication required.
domainGet ADR Diagrams
Get Mermaid diagrams for ADRs from ADR Aggregator. Includes workflow, relationship, and impact diagrams. Requires Pro+ tier.
adr_pathprojectPathValidate ADR Compliance
Validate ADR compliance against implementation via ADR Aggregator. Checks that code actually implements documented decisions. Requires Pro+ tier.
adr_pathsprojectPathvalidation_typeGet Knowledge Graph
Get cross-repository knowledge graph from ADR Aggregator with analytics and insights. Visualize ADR relationships across repositories. Requires Team tier.
scopeprojectPathinclude_analyticsUpdate Implementation Status
Update the implementation status of synced ADRs directly from the IDE. Supports statuses: not_started, in_progress, implemented, deprecated, blocked. Requires Pro+ tier.
updates必填projectPathGet ADR Priorities
Get ADR priorities for roadmap and backlog planning from ADR Aggregator. Returns prioritized ADRs with scores, dependencies, blockers, implementation status, and gap counts.
include_aiprojectPathAnalyze Gaps
Scan local codebase and compare with ADRs to detect bi-directional gaps. Finds: (1) ADR-to-code gaps: file references in ADRs that do not exist, (2) Code-to-ADR gaps: technologies in package.json and architectural patterns without ADR coverage. Reports gaps to ADR Aggregator for tracking.
projectPathexcludePatternsincludePatternsscanDirectoriesincludeDismissedreportToAggregatorGet Gaps
Get current code gaps from ADR Aggregator. Returns gaps with their status (open, dismissed, resolved) for tracking and management.
projectPathincludeResolvedincludeDismissed已满足适用检查项的 90%
该评分衡量此收录条目的完整程度，依据注册中心条目、端点与公开来源计算得出。它不是对服务器本身的评价，也不表示服务器安全或当前可用：可连通性是带日期的检查结果，评分也不包含安装量或用户评价。
请在注册中心条目中声明凭据请求头，或保持端点能够响应探测，以便判定其认证方式。
node --version # Should show v20.0.0 or highernpm --version # Should show 9.0.0 or higher (included with Node.js 20+)# Option 1: Global installation (recommended for frequent use)npm install -g mcp-adr-analysis-server
# Option 2: Use npx (no installation required)npx mcp-adr-analysis-server
# Option 3: From source (for development or customization)git clone https://github.com/tosin2013/mcp-adr-analysis-server.gitcd mcp-adr-analysis-server && npm install && npm run build
# Option 4: RHEL 9/10 systems (special installer)curl -sSL https://raw.githubusercontent.com/tosin2013/mcp-adr-analysis-server/main/scripts/install-rhel.sh | bash{ "mcpServers": { "adr-analysis": { "command": "mcp-adr-analysis-server", "env": { "PROJECT_PATH": "/path/to/your/project" } } }}{ "mcpServers": { "adr-analysis": { "command": "mcp-adr-analysis-server", "env": { "PROJECT_PATH": "/path/to/your/project", "OPENROUTER_API_KEY": "your_key_here", "EXECUTION_MODE": "full" } } }}{ "mcpServers": { "adr-analysis": { "command": "mcp-adr-analysis-server", "env": { "PROJECT_PATH": "/path/to/your/project", "ADR_AGGREGATOR_API_KEY": "agg_your_key_here" } } }}// Basic project analysisconst analysis = await analyzeProjectEcosystem({ projectPath: '/path/to/project', analysisType: 'comprehensive',});
// Generate ADRs from requirementsconst adrs = await generateAdrsFromPrd({ prdPath: 'docs/PRD.md', outputDirectory: 'docs/adrs',});
// Smart Code Linking - Find code related to ADR decisionsconst relatedCode = await findRelatedCode( 'docs/adrs/001-auth-system.md', 'We will implement JWT authentication with Express middleware', '/path/to/project', { useRipgrep: true, // Fast text search maxFiles: 10, // Limit results includeContent: true, // Include file contents });src/tools/ # 64 MCP tools with annotated metadatadocs/adrs/ # Architectural Decision Recordstests/ # ~49% statement coverage, floor enforced in CI.github/ # CI/CD automationnpm test # Run all testsnpm run test:coverage # Coverage report# Set your API key (get one at adraggregator.com)export ADR_AGGREGATOR_API_KEY="agg_your_key_here"# 1. Analyze codebase for implicit architectural decisionssuggest_adrs(analysisType: 'implicit_decisions')
# 2. Generate ADR files from suggestionsgenerate_adr_from_decision(decisionData)
# 3. Save ADRs to docs/adrs/
# 4. (Optional) Sync to adraggregator.comsync_to_aggregator(full_sync: true)git clone https://github.com/tosin2013/mcp-adr-analysis-server.gitcd mcp-adr-analysis-servernpm install && npm run build && npm testnpm install # Required once after cloning (installs typedoc)npm run docs:build # Generate API docs into docs/api/npm run docs:serve # Serve locally via Python HTTP server