About MCP Config
MCP Config is a command line tool for installing MCP servers and managing their configuration in MCP clients. It includes a built-in server repository and uses interactive prompts to add, view and remove entries.
Key features
- 01Built-in repository of MCP servers
- 02One-line installation of MCP servers
- 03Interactive configuration of new servers
- 04View and remove existing server configurations
Use cases
- 01Quickly add an MCP server to a client with npx
- 02Manage server configurations across several clients
- 03Inspect or remove configurations for installed servers
MCP support
MCP Config manages server configurations for MCP clients, supporting Claude, Windsurf and Cursor.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEMCP Config
A CLI tool for managing MCP servers configurations for MCP clients.
Features
- Repository of MCP servers (see src/config/servers)
- 1-line MCP server install
- Configure and add MCP servers with interactive prompts
- View existing server configurations
- Remove MCP server configurations
- Supports Claude, Windsurf and Cursor
Getting Started
Just call npx mcp-config in your terminal. Then select an already installed MCP server and press an action key to
perform the desired action (configure, remove or view details).
To add a new MCP server, press the "a" key (Add New) and select a server from the repository.
Or just run npx mcp-config <server-name> to add a new server, e.g. npx mcp-config llamacloud.
Development
Clone the repository and install dependencies:
git clone <repository-url>
cd mcp-config
npm install
Build the project:
npm run build
Start the tool:
npm run start
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.