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Wisegit

by Sandip124version 0.1.1i★ –iRuns on your computer
Registry nameio.github.Sandip124/wisegit

Install

Overview

Description from the maker (original English)

Extracts decision intent from git history and protects intentional code from AI modification.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Developer tools

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • The registry lists no key to fill in.

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "wisegit": {
      "command": "npx",
      "args": [
        "-y",
        "@sandip124/wisegit"
      ]
    }
  }
}

Run this in your terminal

claude mcp add wisegit -- npx -y @sandip124/wisegit

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "wisegit": {
      "command": "npx",
      "args": [
        "-y",
        "@sandip124/wisegit"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "wisegit": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@sandip124/wisegit"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account Sandip124, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Developer toolsi

  • More stars than 0% of the other 1389 servers in this category
  • Published to the registry more recently than 11% of the other 1389 servers in this category
  • Basic checks equal to or better than 100% of the other 1389 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Wisegit safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.1) reached the registry 7 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: GitHub, Desktop Commander, Cloudflare MCP

Alternatives

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Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

wisegit

*"Don't take a fence down until you know the reason it was put up."*

— G.K. Chesterton

wisegit is a local MCP server that extracts decision intent from git history and protects intentional code from AI modification.

When Claude Code (or any MCP-compatible agent) is about to edit a file, wisegit injects a decision manifest showing which functions are frozen, stable, or open — so the AI respects what was intentional, not just what compiles.

Zero config. Zero external services. Everything local.

Install
# Set up any repo (one command)

npx @sandip124/wisegit setup

Or add as MCP server globally

claude mcp add wisegit -- npx @sandip124/wisegit serve

Published on

The Problem

LLMs have no concept of intentional code. A manually-tested fix and a broken stub look identical — both are just text. Real scenario:

  1. You fix a Stripe race condition with sleep(350) — manually tested, committed.
  2. Next session: "find bugs." Claude removes sleep(350) — looks like dead code.
  3. Production incident.

Root cause: git history contains proof of intention. Nobody extracts it.

How It Works

Git History → Tree-sitter AST → Intent Extraction → SQLite Event Store → MCP Tools
  1. Indexes your git history — walks every commit, parses diffs at the AST level (function boundaries, not line counts)
  2. Classifies commits — STRUCTURED (fix:, feat:), DESCRIPTIVE (plain sentences), or NOISE (wip, x)
  3. Extracts intent — rule-based for structured/descriptive commits, LLM for noise (Phase 2)
  4. Computes freeze scores — 0–1 per function, derived from protection signals (git, issue, code structure, test, structural, Naur, Aranda) minus adaptive obsolescence penalty (8 signals, entropy-calibrated). Age uses Weibull survival [18]; expertise uses DOE model [19]
  5. Serves decision manifests via MCP — Claude Code calls get_file_decisions before editing any file

What the AI Sees

[DECISION MANIFEST: payment.service.cs]

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ FROZEN: ProcessPayment() [score: 0.89] [Recovery: L1]

  • sleep(350) → Stripe race condition. Won't Fix. HIGH — commit a3f19b2

STABLE: ValidateOrder() [score: 0.55] [Recovery: L2]

  • Fixed null reference on Safari iOS WebKit. MEDIUM — commit 7c14694

OPEN: FormatReceipt() [score: 0.12] [Recovery: L3] ← safe to modify ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

  • FROZEN (score >= 0.80): Do not modify without explicit user approval
  • STABLE (score 0.50-0.79): Proceed with caution, review intent first
  • OPEN (score < 0.50): Safe to modify freely

Quick Start

Prerequisites
  • Node.js >= 20

That's it. No Docker, no PostgreSQL, no external services.

1. Set Up a Repository (one command)
cd /path/to/your/repo

npx @sandip124/wisegit setup

This single command:

  • Creates a local SQLite database at ~/.wisegit/wisegit.db
  • Indexes your entire git history (462 commits in ~13 seconds)
  • Creates .mcp.json for Claude Code auto-discovery
  • Creates CLAUDE.md rules that instruct AI to check before editing
  • Adds .mcp.json to .gitignore
2. Enrich with Issue Context (optional)
# Fetch issue/PR details from GitHub/GitLab

GITHUB_TOKEN=ghp_... npx @sandip124/wisegit enrich

This fetches referenced issues (e.g., #134 in commit messages), detects Won't Fix / By Design decisions, and boosts freeze scores for functions linked to those issues.

3. Done

Open the repo in Claude Code. It will automatically:

  1. Start the wisegit MCP server (via .mcp.json)
  2. Read the protection rules (via CLAUDE.md)
  3. Call get_file_decisions before editing any file

MCP Tools

ToolDescription
get_file_decisionsDecision manifest for a file — freeze scores, intent history, recovery levels, override status
get_freeze_scoreScore + signal breakdown for a specific function
get_function_historyFull chronological decision timeline for a function
get_theory_gapsFunctions with unrecoverable rationale (inactive authors, timeline gaps)
get_branch_contextBranch merge history — what was migrated and why
search_decisionsSearch past decisions by keyword across the entire repo
create_overrideOverride a frozen function (user approves in Claude Code UI)
extract_intentExtract intent for NOISE commits using the host LLM — no Ollama needed
find_similar_functionsSearch for existing functions that solve a similar problem before writing new code
predict_impactPredict what functions will break if a given function is modified
get_codebase_conventionsExtract coding conventions for a file's neighborhood

MCP Resource: wisegit://manifest/{filePath} — decision manifest as auto-discoverable resource

MCP Prompt: check_before_edit — mandatory workflow prompt that returns the decision manifest before editing any file

LLM Intent Extraction Strategy

wisegit uses a smart fallback chain for extracting intent from NOISE commits:

ContextLLM UsedHow
Inside Claude CodeHost LLM (Claude)MCP sampling — asks Claude to analyze the diff. Zero setup.
CLI with OllamaOllama (llama3)wisegit init --ollama — uses local Ollama instance
CLI without OllamaNoneRule-based extraction only, NOISE commits get no intent

Inside Claude Code, call extract_intent to retroactively recover intent for NOISE commits — uses Claude itself, no Ollama installation needed.

CLI Commands

wisegit setup [--path <dir>] [--global]         # One-command repo setup

wisegit init [--full-history] [--path ] # Index git history wisegit enrich [--path ] # Fetch issue/PR context from GitHub/GitLab wisegit audit # Show decision manifest wisegit history [--file ] # Show decision timeline wisegit recompute [--path ] # Recompute scores with PageRank + theory gaps wisegit override --file --reason "..." # Override a frozen function wisegit overrides # List active overrides wisegit sync # Rebuild local cache from git + .wisegit/ wisegit config list # View team configuration wisegit config set # Modify team policy wisegit team-status # Team overview: enrichments, overrides, contributors wisegit team-health # Theory health: healthy/fragile/critical functions wisegit branch-capture # Capture branch context from last merge wisegit branch-list # List all captured branch snapshots wisegit branch-recover # Recover context from old merge commit wisegit calibrate # Show adaptive obsolescence weights vs defaults wisegit report [--output ] # Generate HTML report with scores + insights wisegit serve # Start MCP server (stdio) wisegit hook install|uninstall # Manage git hooks (post-commit + post-merge)

Configure for Claude Code

Option A: Per-repo (recommended)

Run npx @sandip124/wisegit setup in any repo. It creates .mcp.json automatically.

Option B: Global registration
claude mcp add wisegit -- npx @sandip124/wisegit serve
Option C: Manual .mcp.json

Create .mcp.json in your repo root:

{

"wisegit": { "command": "npx", "args": ["@sandip124/wisegit", "serve"] } }

Supported Languages

LanguageExtensions
C#.cs
TypeScript.ts, .tsx
JavaScript.js, .jsx, .mjs, .cjs
Python.py
Go.go
Rust.rs

More languages can be added via Tree-sitter grammar configs in src/ast/languages/.

Issue Enrichment

A commit saying fix: handle null token #134 points to an issue containing reproduction steps, root cause, and explicit decision rationale — everything the commit message never says.

# Fetch issue context from GitHub/GitLab

wisegit enrich --path /path/to/repo

With auth (5000 req/hr instead of 60)

GITHUB_TOKEN=ghp_... wisegit enrich

Supported platforms: GitHub, GitLab (Azure DevOps, Jira, Bitbucket planned)

Auth tokens: GITHUB_TOKEN / GH_TOKEN for GitHub, GITLAB_TOKEN for GitLab. Never stored by wisegit.

Issue-derived freeze signals
SignalFreeze BoostWhen
Won't Fix / By Design+0.35Issue closed as not_planned, or has wontfix/by-design label, or comment says "intentional"
Reproduction steps+0.15Issue body contains "steps to reproduce"
Platform-specific label+0.10Issue labeled ios, safari, windows, etc.
Issue unreachable+0.10Issue ref exists but API returned 404 — absent context = protect more
PR review comments+0.15Linked PR had reviewer discussion

Freeze Score Signals

The freeze score is never stored directly — it's derived by replaying the event stream for each function. Signal categories:

CategoryWeightSource
Git History0.20Reverts, verified keywords, incident refs, contributor count, Weibull age [18]
Issue Enrichment0.20Won't Fix/By Design, reproduction steps, platform labels
Code Structure0.15Inline comments, magic numbers, defensive patterns
Test Signals0.15Dedicated tests, edge case labels, co-committed tests
Structural Importance0.15Call count (PageRank), public API, DOE expertise model [19]
Naur Theory0.10Global patterns, intentional contradictions, removal cost
Aranda Signals0.05Forgotten patterns, timeline gaps, broken issue links
Obsolescence (8 signals)adaptiveDead code, stale subgraph, migration leftover, obsolete deps, superseded, SAAD, change burst absence, co-change divergence

Freeze score formula:

freeze_score = base_score x (1 - obsolescence_penalty)

Protection signals produce the base score (weighted average of present signal categories, not additive sum); obsolescence signals produce the penalty. Obsolescence weights are adaptive — calibrated per-repository using Shannon entropy and Bayesian feedback. Falls back to hardcoded defaults when < 20 functions have signals. Age signal uses Weibull survival model [18] (k=0.7, lambda=2.4y); contributor expertise uses DOE model [19] (4 variables: contribution share, recency, duration, frequency).

Academic grounding: 24 published papers. See REFERENCE.md for full citations.

Cross-Repo Validation

Tested on 3 real-world open-source codebases:

RepoCommitsFunctionsFROZENSTABLEMax Score
pallets/flask5,5654,355722,2720.927
expressjs/express6,38240912470.811
zeeguu/api4,5153,2161120.583

Flask's core APIs (__init__, run, wsgi_app, url_for) c

Only the beginning is shown; read the rest in the repo

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