AI-powered Repository Health Analysis & Project Intelligence MCP Server.
CodeVitals is a Model Context Protocol (MCP) server that inspects a local repository and reports its metadata, a weighted health score, and a human-readable summary — entirely offline, with no external API calls. It is designed to be spawned by an MCP-compatible client (such as an AI assistant) and communicates over stdio.
- Repository analysis — dependency counts, framework detection, git status, and file metrics.
- Architecture detection — project type, package manager, language, Docker, CI, and test setup.
- Security analysis — sensitive files,
.env/.gitignorechecks, and hardcoded-secret scanning. - Dependency health — duplicate, unused, and unpinned dependency detection.
- Dead code detection — unused files, orphan files, empty directories, and large files.
- Code quality — file-size distribution, large-function, deep-folder, and naming warnings.
- Health score — a weighted 0–100 score across security, architecture, dependencies, maintainability, and metrics.
- Deterministic summary — strengths, weaknesses, warnings, and quick wins. No LLM involved.
- Node.js >= 22
Install globally:
npm install -g @prakhhxrcodes/codevitalsOr run it without installing:
npx @prakhhxrcodes/codevitalsgit clone https://github.com/prakharsharma13/codevitals.git
cd codevitals
npm install
npm run buildCodeVitals ships a single executable, codevitals, that launches the MCP server
over stdio:
codevitalsThe process is not an interactive command-line tool — it does not take subcommands or arguments. It starts a server that waits for an MCP client to connect over stdin/stdout. Running it directly in a terminal is mainly useful for verifying that it starts (it prints a startup message to stderr and then waits). In normal use it is launched automatically by an MCP client (see below).
Register CodeVitals with any MCP-compatible client. Example client configuration:
{
"mcpServers": {
"codevitals": {
"command": "npx",
"args": ["@prakhhxrcodes/codevitals"]
}
}
}If installed from source, point the client at the built entry file instead:
{
"mcpServers": {
"codevitals": {
"command": "node",
"args": ["/absolute/path/to/codevitals/dist/index.js"]
}
}
}Checks whether the CodeVitals MCP server is running. No input.
Analyzes a repository and returns its metadata, health score, and summary.
| Field | Type | Description |
|---|---|---|
repositoryPath |
string |
Absolute path to the repository to scan. |
CodeVitals requires no environment variables or configuration files. Analysis
thresholds (for example, the large-file and deep-folder limits used by the
dead-code and code-quality analyzers) ship with sensible defaults defined in
their respective analyzers. The only per-call input is repositoryPath, passed
to the analyze_repository tool.
analyze_repository returns a JSON document combining three sections:
{
"analysis": {
"dependencyCount": 2,
"devDependencyCount": 2,
"framework": "Unknown",
"isGitRepository": false,
"commitCount": 0,
"totalFiles": 45,
"totalDirectories": 9,
"totalLines": 3290,
"projectType": "Node",
"packageManager": "npm",
"language": "TypeScript",
"hasDocker": false,
"hasCI": false,
"hasTests": false
},
"health": {
"overallScore": 86,
"securityScore": 100,
"dependencyScore": 100,
"maintainabilityScore": 97,
"architectureScore": 35,
"summary": "Repository health: Excellent (86/100)."
},
"summary": {
"strengths": ["Uses TypeScript.", "Security risk is Low."],
"weaknesses": ["Missing Docker support.", "CI/CD pipeline not configured."],
"warnings": [],
"quickWins": ["Add a Dockerfile.", "Add a CI workflow."],
"overallSummary": "Repository scored 86/100. Security risk is Low."
}
}CodeVitals follows a strict layered architecture with constructor dependency injection and a single composition root:
index.ts— bootstraps the process: creates the server, wires the stdio transport, and connects.server/—create-server.tsassembles the application;dependencies.tsconstructs every dependency.tools/— MCP tool registration only; the sole layer aware of the MCP SDK.services/— orchestration and scoring; coordinate analyzers without doing I/O.analyzers/— pure analysis logic; never import the MCP SDK.infrastructure/— filesystem, git, and scanning; no business logic.types/,utils/,constants/— shared, dependency-free helpers.
Dependencies always point inward: tools → services → analyzers → infrastructure. Analyzers and infrastructure never depend on the MCP layer.
src/
index.ts # entry point (stdio transport)
server/ # server assembly + dependency wiring
tools/ # MCP tool registration
services/ # orchestration + scoring + summary
analyzers/ # analysis logic
infrastructure/ # filesystem, git, scanning
types/ # shared interfaces
utils/, constants/ # helpers
Contributions are welcome. See CONTRIBUTING.md for setup and
guidelines. Please make sure npm run build and npm run typecheck pass before
opening a pull request.
Does CodeVitals send my code anywhere? No. All analysis runs locally. There are no network or external API calls.
Does it require an API key or an LLM? No. The health score and summary are fully deterministic.
Which languages does it analyze?
It targets JavaScript/TypeScript projects (it reads package.json and scans
common source extensions), but file, git, and structural metrics apply to any
repository.
Can I run it as a standalone CLI report? Not yet — it currently runs as an MCP server. A standalone reporting mode is on the roadmap.
The server starts and then exits immediately. That is expected when it is run directly without an MCP client: with no client attached to stdin, the stdio transport reaches end-of-input and shuts down. Run it through an MCP client instead.
analyze_repository returns an error.
Ensure repositoryPath is an absolute path to a directory that contains a
package.json. The tool returns a descriptive error message when the path is
missing or unreadable.
npx @prakhhxrcodes/codevitals cannot be found.
Make sure the package name is spelled correctly (including the @prakhhxrcodes/
scope) and that your Node.js version is 22 or newer.
- Standalone CLI reporting mode
- HTML / PDF report output
- GitHub integration
- npm registry integration for outdated-dependency checks
- AI-generated insights
- Plugin system for custom analyzers
MIT © Prakhar Sharma