MCP server
by kunihiros
Experience Claude Code, a Claude chatbot for codegeass fans using a Claude LLM. Enjoy coding with less capable LLMs toda
Executes coding tasks through Claude Code CLI with automatic permission bypassing, handling file operations, Git commands, and terminal operations without interruptions.
Claude Code is a community-built MCP server published by kunihiros that provides AI assistants with tools and capabilities via the Model Context Protocol. Experience Claude Code, a Claude chatbot for codegeass fans using a Claude LLM. Enjoy coding with less capable LLMs toda It is categorized under developer tools.
You can install Claude Code in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
MIT
Claude Code is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
Add new capabilities to Claude beyond text generation
Example
Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Automate multi-step workflows combining AI and external tools
Example
Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Share your MCP server with the developer community
According to our notes, Claude Code benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
I recommend Claude Code for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
We evaluated Claude Code against two servers with overlapping tools; this profile had the clearer scope statement.
Claude Code is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
Claude Code reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
Useful MCP listing: Claude Code is the kind of server we cite when onboarding engineers to host + tool permissions.
Claude Code is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
Strong directory entry: Claude Code surfaces stars and publisher context so we could sanity-check maintenance before adopting.
Strong directory entry: Claude Code surfaces stars and publisher context so we could sanity-check maintenance before adopting.
I recommend Claude Code for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
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hono ^4.12.4 (fixes serveStatic path traversal, SSE CRLF injection, Cookie attribute injection, basicAuth/bearerAuth timing)@hono/node-server >=1.19.10 (fixes authorization bypass via encoded slashes)ajv >=8.18.0 (fixes ReDoS with $data option)qs >=6.14.2 (fixes DoS via arrayLimit bypass)The claude-code-mcp project is an MCP server for Claude Code.
It calls the locally installed Claude Code command and provides the following tools: explain_code, review_code, fix_code, edit_code, test_code, simulate_command, and your_own_query. The server is implemented using Node.js and the MCP SDK, receiving JSON format requests from clients via stdio. Internally, it adopts Base64 encoding to smoothly process special characters (newlines, quotation marks, etc.) in natural language text, resulting in improved stability and flexibility. Its main roles are receiving requests, encoding input, generating and executing commands, and returning execution results in JSON format.
This project has been confirmed to work in Claude Code CLI environments (Ubuntu/WSL2, etc.).
💡 MCP Host with less capable LLM, can tame and make use of Claude power💪! With claude-code-mcp, you can also call Claude Code from Claude Desktop!! 😇😜😎 (unconfirmed)
The main roles of the server are:
code, context, focus_areas, etc.).your_own_query).child_process.spawn to execute the assembled command and get the result from standard output.There are several ways to use claude-code-mcp:
1. Using npx (Recommended for quick use)
You can run the server directly without installation using npx:
npx @kunihiros/claude-code-mcp
2. Global Installation
Install the package globally:
npm install -g claude-code-mcp
Then, you can run it as a command:
claude-code-mcp
3. Local Installation (For development)
Clone the repository and install dependencies:
git clone https://github.com/KunihiroS/claude-code-mcp.git
cd claude-code-mcp/claude-code-server
npm install
npm run build
You can then run the built script directly:
node build/index.js
Environment Variables:
Regardless of the installation method, you need to configure the environment variables. Create one of the following files:
npx): Configure environment variables directly within your MCP Host's settings (see "MCP Host Configuration" below). This is the easiest way when using npx..env file: Create a .env file in the directory where you run the npx @kunihiros/claude-code-mcp command..claude-code-mcp.env file in your home directory (~/.claude-code-mcp.env).If using a file (.env or ~/.claude-code-mcp.env), add the following content, adjusting the CLAUDE_BIN path:
# .env or ~/.claude-code-mcp.env
CLAUDE_BIN=/path/to/your/claude/executable # REQUIRED: Set the full path to your Claude CLI
LOG_LEVEL=info # Optional: Set log level (e.g., debug, info, warn, error)
MCP Host Configuration (Recommended for npx):
Add the following to your MCP Host application settings (e.g., Claude Desktop settings). This method allows you to set environment variables directly.
"claude-code-server": {
"command": "npx",
"args": [
"-y",
"@kunihiros/claude-code-mcp"
],
"env": {
"CLAUDE_BIN": "/path/to/your/claude/executable", // REQUIRED: Set the absolute path
"LOG_LEVEL": "info" // Optional: Set log level
},
"disabled": false
}
(Restarting the host application might be required.)
Alternative MCP Host Configuration (Global Install / Local Dev):
If you installed the package globally or are running it locally from the cloned repository, and the claude-code-mcp command is in your system's PATH, you can use:
"claude-code-server": {
"command": "claude-code-mcp",
"disabled": false
}
In this case, you must configure environment variables using a .env file or the global ~/.claude-code-mcp.env file as described above.
This server uses the following environment variables (set via MCP Host env settings, .env, or ~/.claude-code-mcp.env):
CLAUDE_BIN: Specifies the path to the Claude CLI executable. (Required)
Example: /home/linuxbrew/.linuxbrew/bin/claude or C:\Users\YourUser\AppData\Local\bin\claude.exeLOG_LEVEL: Specifies the log level. (Optional, defaults to info). Possible values: debug, info, warn, error.The claude-code-mcp server provides the following tools:
explain_code: Provides a detailed explanation of the given code.review_code: Reviews the given code.fix_code: Fixes bugs or issues in the given code.edit_code: Edits the given code based on instructions.test_code: Generates tests for the given code.simulate_command: Simulates the execution of a given command.your_own_query: Sends a custom query with context.claude-code-mcp.log) location:
~/.claude-code-mcp.log)./tmp/claude-code-mcp.log.This project is licensed under the MIT License - see below for details.
MIT License
Copyright (c) 2024 KunihiroS
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
This software is provided for educational and research purposes only. This project is not officially associated with or endorsed by Anthropic. Claude is a trademark of Anthropic.
The project uses the Claude CLI as a dependency, but is an independent, community-driven effort. Users should ensure they comply with Anthropic's terms of service when using this project.
The maintainers of this project are not responsible for any misuse of the software or violations of the terms of service of any third-party APIs or services.
Prerequisites
Time Estimate
15-60 minutes depending on server complexity
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
Compatibility
✓ Use when
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid when
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.