Alive Analysis MCP server
io.github.with-geun/alive-analysis·v1.3.2·41 starsQuery alive-analysis history from any AI client. Tools: list, get, search, dashboard export.
41 stars33 downloads/wk
Reviews
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If you have run it, two minutes of your experience saves the next person an afternoon.
Alive Analysis tools (4)
write = sends, deletes, buys or postsRead from the package source without running it. The installed server may list more.
alive_dashboard_exportExport all analyses as JSON for the ALIVE Dashboard. Paste the output into the dashboard Load dialog.
alive_getGet the full content of an analysis by ID. Returns all stage files (ASK → LOOK → ...) concatenated.
alive_listList analyses from alive-analysis project. Supports filtering by type, stage, status, analyst, and tags.
alive_searchFull-text search across all analysis files. Returns matching analyses with file:line context snippets.
Public scan report
scanner v0.1.10 · 2026-09-27 · same rubric, same numbers if you re-run it
- Code scan5 source files scanned25/25
- –Live reliabilityno gateway calls yet and no remote to proben/a
- –Tool poisoningtools not inspected (local package is not executed); not countedn/a
- Auth qualitylocal package, no credentials required12/15
- Maintenancelast push 124 days ago8/15
- Maintainer identityregistry namespace matches repository owner; GitHub account older than a year8/10
How Alive Analysis compares
Against every graded Web search MCP server, from our own scans and uptime checks. Updated after each scan run.
- Safety score
- 82/100
- higher than 68% of 3,470 Web search servers
- Tools
- 4
- the typical Web search server has 5
- Tools that change things
- 0%
- typical: 0%. Fewer write tools means less an agent can break
- GitHub stars
- 41
- more than 91% of 1,786 Web search servers
- Downloads a week
- 33
- more than 19% of 827 Web search servers with a package
What its tools let an agent do: 4 read
Install Alive Analysis in Claude Code, Cursor or VS Code
Runs npx -y alive-analysis-mcp on your machine. Read the scan report first; the gateway never runs local packages.
claude mcp add alive-analysis -- npx -y alive-analysis-mcp
What the publisher says
From the Alive Analysis repository's README, as published. We do not edit it. Read it on GitHub
alive-analysis
Structured analysis workflow for AI coding agents — every analysis traceable, repeatable, and team-shareable.
Why this exists
You ask Claude to investigate a metric drop. It gives you an answer. You act on it.
Three months later: "Why did we change that?" — gone. No reasoning, no data checks, no audit trail.
Or you open a new chat and explain the whole context again from scratch, repeating work that already happened.
alive-analysis solves this by turning every analysis into a structured, version-controlled workflow. Claude guides you through a five-stage loop. Each stage produces a markdown file. Everything stays in your repo, searchable by you and by Claude.
The result: a growing knowledge base of how your team thinks, not just what it decided.
How it works
You describe a question → /analysis-new
↓
Claude walks you through 5 stages:
ASK → LOOK → INVESTIGATE → VOICE → EVOLVE
↓
Each stage = one markdown file in analyses/
↓
Files are Git-tracked, full-text searchable,
readable by Claude in future conversations
↓
Six months later: /analysis-search "checkout drop"
→ Claude surfaces context, findings, and follow-upsInstallation
# Clone the repo
git clone https://github.com/with-geun/alive-analysis.git /tmp/alive-analysis
# Install — pick your platform
bash /tmp/alive-analysis/install.sh # Claude Code
bash /tmp/alive-analysis/install.sh --cursor # Cursor
bash /tmp/alive-analysis/install.sh --both # Both
# One-time setup — run in your AI agent chat (not the terminal)
/analysis-init # Configure language, team, data stack, key metrics
/analysis-new # Start your first analysisThat's it. Claude handles the rest.
The ALIVE Loop
Every analysis follows the same five-stage structure. Each stage has a clear purpose, a checklist, and a quality gate before moving forward.
You never skip a stage without a deliberate choice. The loop enforces analytical discipline — even when you're in a hurry.
Three Modes
Full Mode — for decisions that matter
Five separate files, one per stage. ~40-item checklists. All specialist agents available. Use this when the decision is high-stakes, when you'll need to explain your reasoning, or when you want the full audit trail.
analyses/active/F-2026-0303-001_checkout-drop/
├── 01_ask.md
├── 02_look.md
├── 03_investigate.md
├── 04_voice.md
└── 05_evolve.mdQuick Mode — for fast turnaround
Everything in one file. Compressed checklist. Same ALIVE structure, just lighter. Use this for exploratory questions, morning standups, or anything you need in under an hour. If it grows in scope, /analysis-promote converts it to Full automatically.
analyses/active/quick_Q-2026-0308-001_dau-check.mdShortened. The full README is on GitHub.
Nothing above is checked by us. What we check is on the safety report.
Alive Analysis: common questions
- Is Alive Analysis MCP server safe?
- Mostly: it is graded B (82/100). Read the Alive Analysis safety report
- How do I install Alive Analysis?
- It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
- Does Alive Analysis need an API key?
- No secret keys are declared. It reads 1 setting from the environment.
- Is Alive Analysis maintained?
- The last commit was 161 days ago (2026-05-27). The latest release is v1.3.2.
- What can I use instead of Alive Analysis?
- Servers from other publishers that do the same job: Reddit Buddy MCP server, Watermelon UI MCP server and MCP FreeScout MCP server.
- How does Alive Analysis compare with other Web search MCP servers?
- safety score 82/100 (higher than 68% of 3,470 Web search servers); tools 4 (the typical Web search server has 5); tools that change things 0% (typical: 0%. Fewer write tools means less an agent can break). Full comparison.
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