codecity-mcp

codecity-mcp

Analyzes a local codebase and exposes its structure, per-file summaries, dependency graph, and complexity hotspots as tools for MCP clients like Claude.

Category
Visit Server

README

codecity-mcp

An MCP server that analyzes a local codebase and exposes its structure, per-file summaries, dependency graph, and complexity hotspots as tools Claude (or any MCP client) can call.

This is the data layer for a larger project: a 3D "code city" - a navigable visualization where a codebase becomes a walkable city (files as buildings, folders as districts, imports as roads) with Claude acting as a guide that explains what you're looking at and helps you actually build a mental model of the codebase, not just stare at a pretty render of it. This repo is the first, standalone piece: it's useful on its own, with or without the 3D viewer, to anyone pointing Claude at an unfamiliar codebase.

Tools

Tool What it does
get_repo_structure Returns the folder/file tree of a repo, plus totals (file count, size). Start here to get oriented.
get_file_summary Structural summary of one file: line count, function/class count, its imports, and a short excerpt.
get_dependency_graph Resolves relative imports between files into a graph (internal edges) plus a list of external package names.
get_complexity_hotspots Ranks files by a simple size/complexity heuristic, so you know where to look first.

Design notes

  • Zero analysis dependencies. Repo scanning, .gitignore handling, and JS/TS structural analysis (function/class/import counts) are hand-rolled with no parser or ignore-matching library. This is a deliberate tradeoff: regex/heuristic-based analysis instead of a full AST walk, in exchange for a small, auditable dependency footprint (just the MCP SDK and zod). The complexity score is explicitly a heuristic, not real cyclomatic complexity - documented in src/complexity.ts.
  • JS/TS-aware today, extensible later. Non-JS/TS files still get scanned and line-counted; structural analysis (functions, classes, imports) currently only applies to .ts/.tsx/.js/.jsx/.mjs/.cjs. Adding another language means adding another analyzer, not touching the MCP layer.
  • Tested without the SDK installed. test/smoke.ts exercises the scanner/analyzer/graph/complexity logic directly (no MCP SDK or zod import), so the core logic is verified independently of the protocol layer. It runs the tool on its own source as a sanity check.

Setup

npm install
npm run build

Running it

Standalone smoke test (no MCP client needed)

npm test

Runs the analysis logic (scanner, analyzer, dependency graph, complexity ranking) directly, with no MCP SDK involved - points it at this repo's own source and prints what it finds. Useful to sanity-check the core logic in isolation before wiring up a client.

With the MCP Inspector

npm run inspect

Opens a browser UI to call each tool manually and see raw responses.

With Claude Desktop or Claude Code

Add to your MCP client config (e.g. claude_desktop_config.json):

{
  "mcpServers": {
    "codecity": {
      "command": "node",
      "args": ["/absolute/path/to/codecity-mcp/build/index.js"]
    }
  }
}

Restart the client, then ask it something like: "Use codecity to show me the structure of ~/code/some-project, and tell me which files are the most complex."

Roadmap

  • [ ] Orchestrator layer: a small agent loop that decides what to explain next based on what's already been explored, and quizzes the user to check understanding (not just recall) - the piece that turns this from a static analysis tool into a capability-building guide.
  • [ ] 3D city renderer (BabylonJS + React) that consumes get_repo_structure and get_dependency_graph to render the actual city.
  • [ ] Language support beyond JS/TS.

License

MIT

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured