Pack local or remote codebases into AI-friendly files that LLMs and coding agents can read or search
Adr Analysis is installed from its publisher's own source and answers where it runs, so this marketplace is not in the path of a single call. There is no address here to send one to, and a panel that pretended otherwise would be showing you an answer we made up. Install it and call it from your own client — the Installation tab has the entry for each one.
What it does
MCP server for analyzing Architectural Decision Records and project architecture
Quickstart
# 1 — add it to Claude Code
claude mcp add --scope user adr-analysis-mcp '--' npx -y mcp-adr-analysis-server
# 2 — ask your agent for something these tools do
# mcp-adr-analysis-server, analyze_project_ecosystem, get_architectural_context and 69 more
Adr Analysis costs nothing on mcprush: there is no plan to choose here, no cap to set and nothing mcprush can bill you for.
Collected from a public index. Nobody has claimed this account, so nothing here was written by its author — claim it if it is yours.
Where are you running it?
Every route below installs the same thing and ends at the same approval screen. This one runs on your machine: your client starts Adr Analysis as a process under your own user, with your files and your network, so the tool surface below is what it can do to your computer rather than to a server somewhere else. Its scan result is on the Security tab — read the surface before you approve it.
This is a public server: you run it yourself and this marketplace is not in the path. You need Node.js — the current LTS (24) is the safe choice; npx comes with it. Claude Code registers it in one command; --scope user makes it available in every project. The '--' is in quotes so that PowerShell passes it on.
claude mcp add --scope user adr-analysis-mcp '--' npx -y mcp-adr-analysis-serverReconnect, or start a new session, and the tools appear in the model’s tool list.
Nothing is required, but it can take PROJECT_PATH (Path to the project directory to analyze (defaults to current directory)), OPENROUTER_API_KEY (OpenRouter API key for AI-powered analysis (required for full execution mode)), EXECUTION_MODE (Execution mode: 'full' for AI results or 'prompt-only' for prompts (default: prompt-only)), ADR_DIRECTORY (ADR directory relative to project path (default: docs/adrs)) if you want to set them.
One config entry your client uses to start the process locally. A local server runs with your file system and your network, which is why it is priced without metering.
72 tools, with what each one reads, writes and reaches shown before you agree — the same list on every route above. Read the tool surface.
Tool surface
What the model actually sees. Descriptions are diffed on every release — see version history.
MCP server for analyzing Architectural Decision Records and project architecture
No parameter schema on file.
Comprehensive recursive project ecosystem analysis with advanced prompting techniques (Knowledge Generation + Reflexion)
No parameter schema on file.
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
No parameter schema on file.
Generate Architectural Decision Records from a Product Requirements Document with advanced prompting techniques (APE + Knowledge Generation)
No parameter schema on file.
Compare TODO.md progress against ADRs and current environment to validate implementation status
No parameter schema on file.
Analyze content for sensitive information using AI-powered detection with optional memory integration for security pattern learning
No parameter schema on file.
Generate masking instructions for detected sensitive content
No parameter schema on file.
Configure custom sensitive patterns for a project
No parameter schema on file.
Apply basic content masking (fallback when AI is not available)
No parameter schema on file.
Validate that content masking was applied correctly
No parameter schema on file.
Manage MCP resource cache (clear, stats, cleanup)
No parameter schema on file.
Configure content masking for all MCP outputs
No parameter schema on file.
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.
No parameter schema on file.
Generate a complete ADR from decision data. TIP: Reference @.mcp-server-context.md to align with existing architectural patterns and decisions.
No parameter schema on file.
Discover and catalog existing ADRs in the project
No parameter schema on file.
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.
No parameter schema on file.
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.
No parameter schema on file.
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.
No parameter schema on file.
Validate all ADRs in a directory against actual infrastructure reality
No parameter schema on file.
Incorporate research findings into architectural decisions
No parameter schema on file.
Create a research template file for documenting findings
No parameter schema on file.
Request confirmation before applying research-based changes
No parameter schema on file.
Generate architectural rules from ADRs and code patterns
No parameter schema on file.
Validate code against architectural rules
No parameter schema on file.
Create machine-readable rule set in JSON/YAML format
No parameter schema on file.
Analyze environment context and provide optimization recommendations with optional memory integration for environment snapshot tracking
No parameter schema on file.
Generate context-aware research questions and create research tracking system
No parameter schema on file.
Perform research using cascading sources: project files → knowledge graph → environment resources → web search (fallback)
No parameter schema on file.
Atomic tool for searching codebase files based on query patterns. Returns raw file matches with relevance scores. Extracted from ResearchOrchestrator per ADR-018.
No parameter schema on file.
LLM-managed web search using Firecrawl for cross-platform support
No parameter schema on file.
LLM-managed cloud provider operations with research-driven approach
No parameter schema on file.
LLM-managed database operations with research-driven approach
No parameter schema on file.
Analyze deployment progress and verify completion with outcome rules
No parameter schema on file.
Check AI execution configuration and status for debugging prompt-only mode issues
No parameter schema on file.
Get intelligent workflow guidance and tool recommendations based on your goals and project context to achieve expected outcomes efficiently
No parameter schema on file.
Get comprehensive development guidance that translates architectural decisions and workflow recommendations into specific coding tasks, implementation patterns, and development roadmap
No parameter schema on file.
List available file system roots that can be accessed. Use this to discover what directories are available before reading files.
No parameter schema on file.
List files and folders in a directory. Use this to explore the file structure within accessible roots.
No parameter schema on file.
Read contents of a file
No parameter schema on file.
Write content to a file
No parameter schema on file.
List contents of a directory
No parameter schema on file.
Generate deployment guidance and instructions from ADRs with environment-specific configurations
No parameter schema on file.
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.
No parameter schema on file.
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.
No parameter schema on file.
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.
No parameter schema on file.
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
No parameter schema on file.
Central coordination for project health scoring system - recalculate, sync, diagnose, optimize, and reset scores across all MCP tools
No parameter schema on file.
Enhanced project planning and workflow management tool - phase-based project management, team resource allocation, progress tracking, risk analysis, and executive reporting
No parameter schema on file.
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.
No parameter schema on file.
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.
No parameter schema on file.
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.
No parameter schema on file.
AI-powered dynamic tool sequencing - intelligently analyze user requests and generate structured tool execution plans
No parameter schema on file.
Phase 3: Retrieve and expand stored content from a tiered response using its expandable ID
No parameter schema on file.
Phase 3: Search and retrieve conversation sessions based on filters
No parameter schema on file.
Phase 3: Get current conversation context snapshot for resumption or analysis
No parameter schema on file.
Phase 3: Get statistics about stored conversation memory
No parameter schema on file.
ADR-018: Simple CRUD operations for knowledge graph. Add/remove entities (intents, ADRs, tools, code) and relationships. Use knowledge://graph resource to read current state (zero token cost).
No parameter schema on file.
Generate a comprehensive context file showing the server
No parameter schema on file.
Get the current date and time in various formats. Useful for timestamping ADRs, research documents, and other architectural artifacts. Returns ISO 8601, human-readable, and ADR-specific date formats.
No parameter schema on file.
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.
No parameter schema on file.
Load a specific prompt or prompt section on-demand. Part of CE-MCP lazy loading system that reduces token usage by ~96% by loading prompts only when needed. Use this to retrieve prompt templates for ADR generation, analysis, deployment, and other operations.
No parameter schema on file.
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.
No parameter schema on file.
Fetch ADR context from ADR Aggregator including summaries, diagrams, timeline data, and code links. Useful for getting a consolidated view of architectural decisions.
No parameter schema on file.
Get ADR staleness report from ADR Aggregator with review compliance metrics. Identifies stale ADRs that need attention and provides governance insights.
No parameter schema on file.
Get domain-specific ADR templates and anti-patterns from ADR Aggregator. Includes best practices for web applications, microservices, APIs, and more. No authentication required.
No parameter schema on file.
Get Mermaid diagrams for ADRs from ADR Aggregator. Includes workflow, relationship, and impact diagrams. Requires Pro+ tier.
No parameter schema on file.
Validate ADR compliance against implementation via ADR Aggregator. Checks that code actually implements documented decisions. Requires Pro+ tier.
No parameter schema on file.
Get cross-repository knowledge graph from ADR Aggregator with analytics and insights. Visualize ADR relationships across repositories. Requires Team tier.
No parameter schema on file.
Update the implementation status of synced ADRs directly from the IDE. Supports statuses: not_started, in_progress, implemented, deprecated, blocked. Requires Pro+ tier.
No parameter schema on file.
Get ADR priorities for roadmap and backlog planning from ADR Aggregator. Returns prioritized ADRs with scores, dependencies, blockers, implementation status, and gap counts.
No parameter schema on file.
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.
No parameter schema on file.
Get current code gaps from ADR Aggregator. Returns gaps with their status (open, dismissed, resolved) for tracking and management.
No parameter schema on file.
- Every tool, no call limit
- No card, and mcprush charges nothing for it
- Source published under MIT
- Runs on your machine — nothing of it reaches our gateway
- Nothing to cap, because mcprush bills nothing
What counts against your monthly calls
| Tool | Unit | Calls used | Out of the allowance |
|---|
Nothing here is billable: mcprush charges nothing to install Adr Analysis or to call it, at any volume.
Two independent axes, because powerful and malicious are different questions. The grade is threat only. The capability level is blast radius, and it is never a penalty on the grade — it is priced as one subtract-only term in the score, where you can see it.
| Term | Level | What it prices | Points |
|---|---|---|---|
| capability-exposure | high | capability blast radius (high) — client exposure if the model is manipulated | −6 |
| verification-discount | source | publisher verification (provenance) — cryptographic build provenance ties the artifact to its source | −0 |
| coverage-honesty | source | inspection depth (source) — how much of the target the scan could see | −0 |
What the scan could actually read
A grade is only as meaningful as its coverage, so the scanner publishes its own depth before it publishes its result.
No tools were enumerated, so prompt-injection, capability and toxic-flow analysis had no tool surface to inspect. To grade a package’s real runtime tools, scan the running server: --command "npx -y <package>".
Capability — what it could do if the model were manipulated
Tags derived from each tool’s schema and the implementation, not from what the tool calls itself. high is the level these add up to.
| Tool | Capability tags | Why the tag was assigned |
|---|---|---|
| No per-tool rows for this release — see the note below. | ||
Toxic-flow graph
The lethal trifecta, checked as a graph rather than as a checklist: untrusted input, a sensitive source and an external sink have to meet before there is a path worth worrying about.
The public result for this release does not print the flow graph, so there is nothing to show here. That is not the same as "no paths were found": what the scan did read is above, under coverage.
Supply chain and provenance
This is the first scan of this surface here, so there is nothing yet to compare it against.
Every result on this tab comes from one deterministic pass over the published package — offline, rule by rule, and auditable line by line above. Same methodology version, same bytes, same score.
Release history
Always latest — the install command names no version, so it installs the newest release when it runs; the current release on file is 2.14.14. Pin a release below and the command asks for exactly that one.
No release note was published with this version.
No release note was published with this version.
No release note was published with this version.
No release note was published with this version.
No release note was published with this version.
No release note was published with this version.
No release note was published with this version.
- The version this listing was on when mcprush began following its releases. The registry was not asked when it shipped, so this row carries no date.
One review per account, from a signed-in account that does not publish this listing. Nothing else is asked — you can say what you think before you install it. Publishers can reply once per review, and a review can be edited or deleted by whoever wrote it.
Any signed-in account that does not publish Adr Analysis can review it, once — before installing it or after. A review from an account that has installed it is marked as one.
Nobody has reviewed this listing. The rating on the card is the mean of the reviews written here and nothing else, so there is no rating until somebody writes the first — which takes a signed-in account that does not publish it, and nothing else.