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Claude Code Explorer MCP

by codeaashuversion 1.1.0i★ –iRuns on your computer
Registry nameio.github.divu2025/codemaster

Install

Overview

Description from the maker (original English)

Explore the Claude Code CLI source — browse tools, commands, search code, and more.

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: Search & AI memory

Install

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

Before you install

  • Basic checks: 0 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": {
    "codemaster": {
      "command": "npx",
      "args": [
        "-y",
        "@divyesh2000/codemaster"
      ]
    }
  }
}

Run this in your terminal

claude mcp add codemaster -- npx -y @divyesh2000/codemaster

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "codemaster": {
      "command": "npx",
      "args": [
        "-y",
        "@divyesh2000/codemaster"
      ]
    }
  }
}

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": {
    "codemaster": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@divyesh2000/codemaster"
      ]
    }
  }
}

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

  • ! Caution

    Maker matches the repo

    The publisher (divu2025) is not the repo owner (codeaashu); someone else may have listed it

  • … 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 Search & AI memoryi

  • More stars than 0% of the other 7233 servers in this category
  • Published to the registry more recently than 10% of the other 7233 servers in this category
  • Basic checks equal to or better than 36% of the other 7233 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 Claude Code Explorer MCP safe?

It passed 0 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 (1.1.0) 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: Context7, Codebase Memory, Exa

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

Context7

by upstash

Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.

Computer or cloud★ 64,224MITUpdated 3 days ago
Install

Codebase Memory

by DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

Runs on your computer★ 48,148MITUpdated 20 days ago
Install

Exa

by exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

Runs in the cloud★ 5,213MITUpdated 44 days ago
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.

warrioraashuu Codemaster — MCP Server

A standalone Model Context Protocol (MCP) server that lets any MCP-compatible client explore the Claude Code source code. Rebranded and published by warrioraashuu. Supports STDIO, Streamable HTTP, and SSE transports.

What It Does

Exposes 8 tools, 3 resources, and 5 prompts for navigating the ~1,900-file, 512K+ line Claude Code codebase. This is the official npm package: warrioraashuu-codemaster.

Transports
TransportEndpointBest For
STDIOnode dist/index.jsClaude Desktop, local Claude Code, VS Code
Streamable HTTPPOST/GET /mcpModern MCP clients, remote hosting
Legacy SSEGET /sse + POST /messagesOlder MCP clients
Tools
ToolDescription
list_toolsList all 40+ agent tools (BashTool, FileEditTool, etc.)
list_commandsList all 50+ slash commands (/commit, /review, etc.)
get_tool_sourceRead a specific tool's implementation
get_command_sourceRead a specific command's implementation
read_source_fileRead any file from src/ by relative path
search_sourceRegex search across the entire source tree
list_directoryList contents of any directory under src/
get_architectureGet a full architecture overview
Resources
URIDescription
claude-code://architectureREADME / architecture overview
claude-code://toolsTool registry (JSON)
claude-code://commandsCommand registry (JSON)
claude-code://source/{path}Any source file (template)
Prompts
PromptDescription
explain_toolDeep-dive explanation of a specific tool's purpose, schema, permissions, and flow
explain_commandExplanation of a specific slash command's behavior and implementation
architecture_overviewGuided tour of the full Claude Code architecture
how_does_it_workExplain a feature/subsystem (permissions, MCP, bridge, etc.)
compare_toolsSide-by-side comparison of two tools

Setup

cd mcp-server

npm install npm run build

Run Locally (STDIO)
npm start

or with custom source path:

CLAUDE_CODE_SRC_ROOT=/path/to/src npm start

Run Locally (HTTP)
npm run start:http

Streamable HTTP at http://localhost:3000/mcp

Legacy SSE at http://localhost:3000/sse

Health check at http://localhost:3000/health

With Authentication
MCP_API_KEY=your-secret-token npm run start:http

Clients must include: Authorization: Bearer your-secret-token

Configuration

Claude Desktop

Add to ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows):

{

"mcpServers": { "warrioraashuu-codemaster": { "command": "node", "args": ["/absolute/path/to/claude-code/mcp-server/dist/index.js"], "env": { "CLAUDE_CODE_SRC_ROOT": "/absolute/path/to/claude-code/src" } } } }

VS Code (GitHub Copilot)

Add to .vscode/mcp.json in your workspace:

{

"servers": { "claude-code-explorer": { "type": "stdio", "command": "node", "args": ["${workspaceFolder}/mcp-server/dist/index.js"], "env": { "CLAUDE_CODE_SRC_ROOT": "${workspaceFolder}/src" } } } }

Cursor

Add to ~/.cursor/mcp.json:

{

"mcpServers": { "claude-code-explorer": { "command": "node", "args": ["/absolute/path/to/claude-code/mcp-server/dist/index.js"], "env": { "CLAUDE_CODE_SRC_ROOT": "/absolute/path/to/claude-code/src" } } } }

Environment Variables

VariableDefaultDescription
CLAUDE_CODE_SRC_ROOT../src (relative to dist/)Path to the Claude Code src/ directory
PORT3000HTTP server port (HTTP mode only)
MCP_API_KEY_(none)_Bearer token for HTTP auth (optional)

Remote HTTP Client Configuration

For Claude Desktop connecting to a remote server:

{

"mcpServers": { "claude-code-explorer": { "url": "https://your-deployment.railway.app/mcp", "headers": { "Authorization": "Bearer your-secret-key" } } } }

Deployment

Railway
  1. Connect your GitHub repo to Railway
  2. Railway automatically detects the mcp-server/Dockerfile
  3. Set environment variables in the Railway dashboard:
  • MCP_API_KEY — a secret bearer token
  • PORT is set automatically by Railway
  1. Deploy — available at your-app.railway.app

Or via CLI:

railway init

railway up

Vercel
npx vercel

Set environment variables in the Vercel dashboard:

  • CLAUDE_CODE_SRC_ROOT — path where src/ files are bundled
  • MCP_API_KEY — bearer token

Note: Vercel functions are stateless with execution time limits (10s hobby / 60s pro). Best for simple tool calls. For persistent SSE streams, use Railway or Docker.

Docker
# From repo root

docker build -f mcp-server/Dockerfile -t claude-code-mcp . docker run -p 3000:3000 -e MCP_API_KEY=your-secret claude-code-mcp

Works on any Docker host: Fly.io, Render, AWS ECS, Google Cloud Run, etc.

Prompts

The server also exposes prompt templates for guided exploration:

PromptDescription
explain_toolDeep-dive explanation of a specific tool (input schema, permissions, execution flow)
explain_commandExplain how a slash command works
architecture_overviewGuided tour of the entire Claude Code architecture
how_does_it_workExplain a feature or subsystem (e.g. "permission system", "MCP client", "query engine")
compare_toolsSide-by-side comparison of two tools

Example Usage

Once connected, you can ask your AI assistant things like:

  • "List all Claude Code tools"
  • "Show me the BashTool implementation"
  • "Search for how permissions are checked"
  • "What files are in the bridge directory?"
  • "Read the QueryEngine.ts file, lines 1-100"
  • "How does the MCP client connection work?"
  • Use the explain_tool prompt with "FileEditTool" to get a full breakdown
  • Use how_does_it_work with "bridge" to understand IDE integration

Publishing to MCP Registry

This server is published to the MCP Registry via GitHub Actions. On a tagged release (v*), the workflow:

  1. Publishes the npm package to npmjs.org
  2. Authenticates with the MCP Registry using GitHub OIDC
  3. Publishes the server.json metadata to the registry

To publish manually:

# Install the MCP Publisher CLI

curl -L "https://github.com/modelcontextprotocol/registry/releases/latest/download/mcp-publisher_$(uname -s | tr '[:upper:]' '[:lower:]')_$(uname -m | sed 's/x86_64/amd64/;s/aarch64/arm64/').tar.gz" | tar xz mcp-publisher

Authenticate (GitHub OAuth)

./mcp-publisher login github

Publish

cd mcp-server ../mcp-publisher publish

Registry name: warrioraashuu-codemaster

Development

npm install

npm run dev # Watch mode TypeScript compilation npm run build # Compile TypeScript to dist/ npm start # Run STDIO server npm run start:http # Run HTTP server

Architecture

mcp-server/

├── src/ │ ├── server.ts — Shared MCP server (tools, resources, prompts) — transport-agnostic │ ├── index.ts — STDIO entrypoint (local) │ └── http.ts — HTTP + SSE entrypoint (remote) ├── api/ │ ├── index.ts — Vercel serverless function │ └── vercelApp.ts — Express app for Vercel ├── Dockerfile — Docker build (Railway, Fly.io, etc.) ├── railway.json — Railway deployment config ├── package.json └── tsconfig.json

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