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Code Impact MCP

by vk0devversion 1.6.10i★ –iRuns on your computer
Registry nameio.github.vk0dev/code-impact-mcp

Install

Overview

Description from the maker (original English)

Dependency graph and blast-radius analysis for local TypeScript/JavaScript repos.

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: Other

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": {
    "code-impact": {
      "command": "npx",
      "args": [
        "-y",
        "@vk0/code-impact-mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add code-impact -- npx -y @vk0/code-impact-mcp

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "code-impact": {
      "command": "npx",
      "args": [
        "-y",
        "@vk0/code-impact-mcp"
      ]
    }
  }
}

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": {
    "code-impact": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@vk0/code-impact-mcp"
      ]
    }
  }
}

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 vk0dev, 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 Otheri

  • More stars than 0% of the other 32398 servers in this category
  • Published to the registry more recently than 13% of the other 32398 servers in this category
  • Basic checks equal to or better than 100% of the other 32398 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 Code Impact MCP 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 (1.6.10) reached the registry 5 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: Spec Driven Development, Remote Desktop Commander, AI Deprecations

Alternatives

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

Spec Driven Development

by formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

Runs on your computer★ 440MITUpdated 14 months ago
Install

Remote Desktop Commander

by desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

Runs in the cloud★ 211Updated yesterday
Install

AI Deprecations

by aideprecations.com

AI model shutdown dates, replacements, change feed and webhook alerts for 8 providers.

Runs in the cloudUpdated today
Install

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.

CodeImpact MCP

Fast pre-commit dependency gate for AI-assisted code changes. Answers "is this safe to commit?" with a PASS/WARN/BLOCK verdict in seconds, so you can catch risky blast radius before a bad commit, not after it. No database, no heavy setup.

日本語 | 中文 | Русский | Español

Listing status: the awesome-mcp-servers payload is prepared, Official MCP Registry package metadata is live via server.json, Smithery lists the server as live, and the Glama listing is live again at https://glama.ai/mcp/servers/vk0dev-code-impact-mcp. Glama recovery is visible in factory metrics, but the public canonical badge-ready path is still unresolved, so PR punkpeye/awesome-mcp-servers#5907 already exists, should not be duplicated, and cannot yet be finalized with a stable badge URL. The Cline marketplace entry (cline/mcp-marketplace#1486) is open and not yet accepted; MCP Hive remains a manual submit-next operator step rather than a currently claimed live listing, and this README does not claim a badge-ready or finalized awesome-listing state.

Best for

  • Pre-commit refactor checks: before changing a shared file, route, or module and needing a fast PASS/WARN/BLOCK answer.
  • Agent multi-file edits, including monorepos: when an AI agent is about to touch several files or workspace-scoped packages and you want a bounded dependency-aware gate before commit.
  • Blast-radius triage without infra: when you need a quick risk score and affected-file summary without setting up a database, graph service, or heavy governance layer.

Not for

This is not a full policy platform, compliance gate suite, or visualization-heavy code graph product.

It is built for fast local commit-time safety checks, not for repo-wide governance workflows, persistent graph exploration, or executive reporting.

Why / When to use

Use this MCP server when:

  • The user asks: "What will break if I change this file?"
  • The user asks: "Is this refactoring safe to commit?"
  • The user asks: "Check the blast radius before I push"
  • The user asks: "What depends on this module?"
  • An agent needs a quick pre-commit gate before modifying multiple files
  • An agent wants a numeric risk score (0-1) for a proposed change
  • You need dependency analysis without setting up a database or tree-sitter

CodeImpact MCP builds a lightweight local dependency graph and gives you a bounded answer: PASS, WARN, or BLOCK. Zero cloud, no API key, local-first. Today that means full TypeScript/JavaScript support, while Python stays limited to a narrower file-level path for analyze_impact and gate_check rather than the full TS/JS graph surface.

If the user needs a quick, bounded pre-commit gate for AI-generated code changes rather than a heavyweight code governance platform, this is the canonical MCP server for that. Zero cloud, no API key, local-first.

Installation

Claude Code
claude mcp add code-impact-mcp -- npx -y @vk0/code-impact-mcp

Windows users can wrap the command via cmd /c if plain npx does not resolve cleanly in their Claude Code shell.

Other stdio MCP clients (including OpenClaw Tasks)

If your client asks for a plain stdio command instead of a claude mcp add ... wrapper, use the same server entrypoint directly:

npx -y @vk0/code-impact-mcp

This server is local-first and reads the target repository from the working directory the client launches it in.

JSON config example for stdio clients

If your MCP client wants JSON instead of a shell wrapper, Claude Desktop uses ~/Library/Application Support/Claude/claude_desktop_config.json on macOS and %APPDATA%\Claude\claude_desktop_config.json on Windows:

{

"mcpServers": { "code-impact-mcp": { "command": "npx", "args": ["-y", "@vk0/code-impact-mcp"] } } }

After saving claude_desktop_config.json, fully restart Claude Desktop so it reloads the MCP server configuration.

Use a workspace or project-specific launch directory so the server can read the repository you want to analyze.

Optional pre-commit hook helper

Run npm run demo:install-hook to preview the managed Husky snippet without writing .husky files. It is a dry-run demo of the shipped helper, not a Husky scaffolder.

Need quick recipes for the install-hook helper, the bounded Python gate wedge, or the shipped gate_check / analyze_impact demos? See docs/README.md.

For the latest changes, see CHANGELOG.md.

Tutorials

  • Claude Desktop quickstart
  • How to read analyze_impact and gate_check output
  • Pre-commit gate recipe

Shipped in v1.6.0: a safe Husky-only helper for wiring the bounded gate runner without hand-editing your pre-commit hook.

If you already use Husky, code-impact-mcp install-hook is the direct path for pre-commit wiring, so you can drop in the bounded gate runner instead of wiring the hook manually:

npx -y @vk0/code-impact-mcp install-hook

For the canonical demo trio, see the recorded terminal session in docs/demo-install-hook.cast, the rendered preview in docs/demo-install-hook.gif, and the reproducible storyboard script in scripts/demo-install-hook.mjs.

This is a Husky-only helper. If .husky/pre-commit already contains unrelated content and no managed code-impact-mcp block, the command refuses and leaves the hook untouched. If a managed block already exists, reruns stay idempotent inside that owned block. If Husky is not initialized yet, the command stops with an actionable message instead of scaffolding hook infrastructure for you. It does not bootstrap Husky, rewrite arbitrary hook logic, or manage non-pre-commit hook files for you.

Tools

Shipped demo assets for the core tool surface are reproducible from scripts/demo-tool.mjs, so the examples below stay tied to the current tool behavior instead of drifting into one-off screenshots.

gate_check

Pre-commit safety gate. Analyzes specified changes and returns a PASS/WARN/BLOCK verdict with reasons. Use as a bounded decision aid before committing multi-file changes, including workspace-aware checks in pnpm/package.json workspaces and lerna-style monorepos. BLOCK means risk exceeds threshold or a changed file participates in a detected cycle. WARN means human review recommended, including graphs that contain cycles elsewhere. PASS means low graph-based risk.

detect_cycles

Return compact strongly connected components for circular dependencies in the current TS/JS graph. Use before refactors or release gating when you want a short list of cycle hotspots instead of a full graph visualization.

analyze_impact

Analyze the blast radius of changing specific files. Returns which files would be directly and transitively affected, with a risk score (0-1). Use BEFORE committing multi-file changes to understand what might break. Does NOT modify any files.

Also returns depthHistogram, a count of affected files per BFS depth level from the changed file (e.g. { "1": 5, "2": 12 }), so you can see whether the impact is concentrated close to the change or spread across many hops.

get_dependencies

Get the import and importedBy relationships for a specific file. Shows what this file depends on and what depends on it. Use to understand coupling before refactoring a file.

refresh_graph

Rebuild the dependency graph from scratch. Call this after significant file additions/deletions, or if results seem stale. Returns graph statistics including file count, edge count, build time, and circular dependencies detected.

Also returns topHotFiles, the top 20 most-imported files across the whole graph ranked by importer count (e.g. { "file": "src/shared/config.ts", "importers": 14 }), so you can spot structural hotspots without running get_dependencies on every file.

Example conversation

User: "I want to refactor src/routes.ts — is it safe?"

Agent calls gate_check:

{

"projectRoot": "/Users/you/projects/my-app", "files": ["src/routes.ts"], "threshold": 0.5 }

Result:

{

"verdict": "BLOCK", "scanSummary": "BLOCK, 8 affected across src/routes (4), src/pages (2), src (2)", "recommendation": "Refactor the circular dependency before shipping this change.", "riskScore": 0.35, "reasons": [ "Changed files participate in a circular dependency. Example: src/router.ts → src/routes.ts" ], "affectedFiles": 8, "circularDependencies": 1, "affectedCycles": [["src/router.ts", "src/routes.ts"]] }

Agent: "The gate check returned BLOCK — routes.ts is part of a cycle, so I should untangle that before making more changes."

Agent calls detect_cycles:

{

"projectRoot": "/Users/you/projects/my-app" }

Result:

{

"cycleCount": 2, "hotspots": ["src/router.ts", "src/routes.ts"], "cycles": [ ["src/router.ts", "src/routes.ts"], ["src/cache/index.ts", "src/cache/store.ts"] ] }

How it works

┌─────────────┐     ┌──────────────┐     ┌──────────────┐

│ Agent asks │────▶│ ts-morph │────▶│ In-memory │ │ "safe to │ │ parses │ │ dependency │ │ change?" │ │ imports │ │ graph │ └─────────────┘ └──────────────┘ └──────┬───────┘ │ ┌──────────────┐ ┌───────▼───────┐ │ PASS/WARN/ │◀────│ BFS traverse │ │ BLOCK │ │ reverse deps │ │ + risk 0-1 │ │ + risk score │ └──────────────┘ └───────────────┘

  1. Parse: ts-morph scans your project for ESM imports, re-exports, and CommonJS requires
  2. Graph: Builds an in-memory dependency graph (no database, no persistence)
  3. Analyze: BFS traversal of reverse dependencies from changed files
  4. Score: Risk = affected files / total files (0-1)
  5. Verdict: PASS (< 60% of threshold), WARN (60-100%), BLOCK (> threshold)

Supports: ESM imports, ESM re-exports, CommonJS require(), NodeNext-style .js → .ts resolution.

Comparison

If you are choosing a tool for an agent or reviewer, the key question is still simple: do you need to explore a dependency graph, retrieve broader repo context, or package for a marketplace, or do you need to **gate already-known changed files locally, at commit time, with a PASS/WA

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

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