MCP Config Manager

v1.0.0Developer Toolsstable

Manage MCP server configs across Claude, Gemini & other AI systems. Interactive CLI for server enable/disable, preset management & config sync.

ai-toolsclaudecliconfiguration-managementgemini
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What is MCP Config Manager?

MCP Config Manager is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to manage mcp server configs across claude, gemini & other ai systems. interactive cli for server enable/disable, preset management & config sync.

Manage MCP server configs across Claude, Gemini & other AI systems. Interactive CLI for server enable/disable, preset management & config sync.

This server falls under the Developer Tools category on MCPgee, the world's largest MCP server directory with 33,000+ servers.

Features

  • Manage MCP server configs across Claude, Gemini & other AI s

Use Cases

Manage MCP server configurations across Claude, Gemini, and other AI systems.
Enable/disable servers and manage presets from an interactive CLI.
Sync configurations across multiple AI platforms.
holstein13

Maintainer

LicenseMIT
Languagepython
Versionv1.0.0
UpdatedMar 11, 2026
Statushealthy
Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux

Installation

Manual Installation

npx mcp-config-manager

Configuration

Configuration Details

Config File

claude_desktop_config.json

Performance

Response Metrics

Response Time< 200ms
ThroughputMedium

Resource Usage

Memory UsageLow
CPU UsageLow

How to Set Up and Use MCP Config Manager

MCP Config Manager is a cross-platform tool for managing Model Context Protocol server configurations across Claude, Gemini, Codex, and other AI systems from a single interface. It provides both a graphical GUI and an interactive CLI for enabling/disabling servers, saving presets, creating backups, and syncing configs. Developers who work with multiple AI platforms will find it invaluable for keeping their MCP setups organized without manually editing JSON files.

Prerequisites

  • Python 3.8+ installed on your system
  • PyQt6 or tkinter available for the GUI interface (tkinter ships with most Python installs)
  • At least one AI client configured: Claude, Gemini CLI, or Codex
  • An MCP-compatible AI client (Claude Desktop, Gemini CLI, Codex CLI)
  • bash/zsh shell for the install script
1

Install MCP Config Manager

Run the official install script which downloads and sets up the mcp CLI tool on your system.

curl -fsSL https://raw.githubusercontent.com/holstein13/mcp-config-manager/master/install.sh | bash
2

Verify installation

Check that the mcp command is available and working by viewing current status.

mcp status
3

Launch the GUI (optional)

Open the graphical interface for a visual overview of all configured MCP servers across your AI clients.

mcp gui
4

Use interactive CLI mode

Start interactive mode to enable, disable, add, or delete servers with guided prompts.

mcp interactive
5

Save a preset configuration

Capture your current server setup as a named preset so you can restore it later or apply it to another machine.

mcp preset minimal
6

Create a backup

Create a timestamped backup of all your MCP configuration files stored in ~/Documents/MCP Config Manager/backups/.

mcp backup

MCP Config Manager Examples

Client configuration

MCP Config Manager is a standalone CLI tool and does not itself run as an MCP server inside Claude Desktop. It manages the claude_desktop_config.json and other AI config files directly from your terminal.

# Enable a server via CLI
mcp enable filesystem

# Disable a server
mcp disable github

# Apply a saved preset
mcp preset minimal

# View status of all servers
mcp status

Prompts to try

After managing your MCP config, use these commands to verify state across AI systems.

- "mcp status" to see which servers are enabled for Claude, Gemini, and Codex
- "mcp enable filesystem" to turn on the filesystem server for all AI clients
- "mcp disable github" to temporarily disable a server without deleting it
- "mcp backup" to snapshot your config before making changes
- "mcp gui" to launch the visual management interface

Troubleshooting MCP Config Manager

The mcp command is not found after installation

Reload your shell profile with 'source ~/.bashrc' or 'source ~/.zshrc', or open a new terminal window. The install script adds the binary to your PATH.

GUI fails to launch with a PyQt6 import error

Install PyQt6 with 'pip install PyQt6'. If that fails, the tool will automatically fall back to the tkinter-based interface, which ships with most Python installations.

Changes to Claude config are not reflected in Claude Desktop

Restart Claude Desktop after making changes, as it reads its configuration only at startup. The config file is located at ~/.claude.json.

Frequently Asked Questions about MCP Config Manager

What is MCP Config Manager?

MCP Config Manager is a Model Context Protocol (MCP) server that manage mcp server configs across claude, gemini & other ai systems. interactive cli for server enable/disable, preset management & config sync. It connects AI assistants to external tools and data sources through a standardized interface.

How do I install MCP Config Manager?

Follow the installation instructions on the MCP Config Manager GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.

Which AI clients work with MCP Config Manager?

MCP Config Manager works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.

Is MCP Config Manager free to use?

Yes, MCP Config Manager is open source and available under the MIT license. You can use it freely in both personal and commercial projects.

Browse More Developer Tools MCP Servers

Explore all developer tools servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.

Quick Config Preview

{ "mcpServers": { "mcp-config-manager": { "command": "npx", "args": ["-y", "mcp-config-manager"] } } }

Add this to your claude_desktop_config.json or .cursor/mcp.json

Read the full setup guide →

Ready to use MCP Config Manager?

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