GitHub
GitHub’s official server lets AI read and manage code, issues and pull requests in your account. Use GitHub’s hosted version or run it locally with Docker.
Description from the maker (original English)
Extracts decision intent from git history and protects intentional code from AI modification.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
You need
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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/wisegitPaste 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.
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.
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Runs on your computer; the tool list appears in your AI app after you install it.
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
The registry name was verified with the GitHub account Sandip124, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
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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).
The GitHub repo last changed –, and the latest version (0.1.1) reached the registry 7 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
In the same category: GitHub, Desktop Commander, Cloudflare MCP
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
GitHub’s official server lets AI read and manage code, issues and pull requests in your account. Use GitHub’s hosted version or run it locally with Docker.
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*"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.
# Set up any repo (one command)
npx @sandip124/wisegit setup
claude mcp add wisegit -- npx @sandip124/wisegit serve
LLMs have no concept of intentional code. A manually-tested fix and a broken stub look identical — both are just text. Real scenario:
sleep(350) — manually tested, committed.sleep(350) — looks like dead code.Root cause: git history contains proof of intention. Nobody extracts it.
Git History → Tree-sitter AST → Intent Extraction → SQLite Event Store → MCP Tools
fix:, feat:), DESCRIPTIVE (plain sentences), or NOISE (wip, x)get_file_decisions before editing any file[DECISION MANIFEST: payment.service.cs]
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ FROZEN: ProcessPayment() [score: 0.89] [Recovery: L1]
STABLE: ValidateOrder() [score: 0.55] [Recovery: L2]
OPEN: FormatReceipt() [score: 0.12] [Recovery: L3] ← safe to modify ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
That's it. No Docker, no PostgreSQL, no external services.
cd /path/to/your/repo
npx @sandip124/wisegit setup
This single command:
~/.wisegit/wisegit.db.mcp.json for Claude Code auto-discoveryCLAUDE.md rules that instruct AI to check before editing.mcp.json to .gitignore# 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.
Open the repo in Claude Code. It will automatically:
.mcp.json)CLAUDE.md)get_file_decisions before editing any file| Tool | Description |
|---|---|
get_file_decisions | Decision manifest for a file — freeze scores, intent history, recovery levels, override status |
get_freeze_score | Score + signal breakdown for a specific function |
get_function_history | Full chronological decision timeline for a function |
get_theory_gaps | Functions with unrecoverable rationale (inactive authors, timeline gaps) |
get_branch_context | Branch merge history — what was migrated and why |
search_decisions | Search past decisions by keyword across the entire repo |
create_override | Override a frozen function (user approves in Claude Code UI) |
extract_intent | Extract intent for NOISE commits using the host LLM — no Ollama needed |
find_similar_functions | Search for existing functions that solve a similar problem before writing new code |
predict_impact | Predict what functions will break if a given function is modified |
get_codebase_conventions | Extract 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
wisegit uses a smart fallback chain for extracting intent from NOISE commits:
| Context | LLM Used | How |
|---|---|---|
| Inside Claude Code | Host LLM (Claude) | MCP sampling — asks Claude to analyze the diff. Zero setup. |
| CLI with Ollama | Ollama (llama3) | wisegit init --ollama — uses local Ollama instance |
| CLI without Ollama | None | Rule-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.
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)
Run npx @sandip124/wisegit setup in any repo. It creates .mcp.json automatically.
claude mcp add wisegit -- npx @sandip124/wisegit serve
.mcp.jsonCreate .mcp.json in your repo root:
{
"wisegit": { "command": "npx", "args": ["@sandip124/wisegit", "serve"] } }
| Language | Extensions |
|---|---|
| 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/.
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
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.
| Signal | Freeze Boost | When |
|---|---|---|
| Won't Fix / By Design | +0.35 | Issue closed as not_planned, or has wontfix/by-design label, or comment says "intentional" |
| Reproduction steps | +0.15 | Issue body contains "steps to reproduce" |
| Platform-specific label | +0.10 | Issue labeled ios, safari, windows, etc. |
| Issue unreachable | +0.10 | Issue ref exists but API returned 404 — absent context = protect more |
| PR review comments | +0.15 | Linked PR had reviewer discussion |
The freeze score is never stored directly — it's derived by replaying the event stream for each function. Signal categories:
| Category | Weight | Source |
|---|---|---|
| Git History | 0.20 | Reverts, verified keywords, incident refs, contributor count, Weibull age [18] |
| Issue Enrichment | 0.20 | Won't Fix/By Design, reproduction steps, platform labels |
| Code Structure | 0.15 | Inline comments, magic numbers, defensive patterns |
| Test Signals | 0.15 | Dedicated tests, edge case labels, co-committed tests |
| Structural Importance | 0.15 | Call count (PageRank), public API, DOE expertise model [19] |
| Naur Theory | 0.10 | Global patterns, intentional contradictions, removal cost |
| Aranda Signals | 0.05 | Forgotten patterns, timeline gaps, broken issue links |
| Obsolescence (8 signals) | adaptive | Dead 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.
Tested on 3 real-world open-source codebases:
| Repo | Commits | Functions | FROZEN | STABLE | Max Score |
|---|---|---|---|---|---|
| pallets/flask | 5,565 | 4,355 | 72 | 2,272 | 0.927 |
| expressjs/express | 6,382 | 409 | 1 | 247 | 0.811 |
| zeeguu/api | 4,515 | 3,216 | 1 | 12 | 0.583 |
Flask's core APIs (__init__, run, wsgi_app, url_for) c
Only the beginning is shown; read the rest in the repo