Codemirror MCP
An extension that provides Model Context Protocol (MCP) support for the CodeMirror editor, implementing auto - completion and interactive functions for resource mentions and prompt commands.
rating : 2.5 points
downloads : 82
What is the MCP server?
The MCP server implements the Model Context Protocol, providing a unified way for AI applications to manage and interact with resources. It allows users to reference resources and execute commands through special syntax (@resource and /command).How to use the MCP server?
After connecting to the MCP server via WebSocket, you can directly use @resource to reference resources and /command to execute commands in the editor. The server will provide auto - completion and resource details display functions.Applicable scenarios
Suitable for development environments that need to integrate multiple AI resources and tools, especially in scenarios such as AI - assisted programming and data analysis.Main features
Resource auto - completionWhen entering @resource, a list of available resources will be automatically prompted.
Resource visual marking@resource references will be displayed in a special style and can be clicked to view details.
Command auto - completionWhen entering /, a list of available commands will be prompted.
Theme customizationSupports customizing the display styles of resource markings and command prompts.
Advantages and limitations
Advantages
Unified management of various AI resources
Provides an intuitive way to reference resources
Supports rich interactive functions
Scalable command system
Limitations
Resources need to be pre - configured
Currently only supports WebSocket connections
Limited compatibility with older browsers
How to use
Install the client library
Install the necessary client libraries via npm or pnpm
Establish a connection
Create a WebSocket connection to the MCP server
Configure the editor
Add the MCP extension to the CodeMirror editor
Use resource references
Enter @resource - uri in the editor to reference resources
Usage examples
AI - assisted programmingReference API documentation resources when writing code
Data analysisReference dataset resources for analysis
Frequently Asked Questions
How to add custom resources?
Which editors are supported?
Is there a length limit for resource references?
Related resources
MCP Protocol official website
Official documentation of the Model Context Protocol
GitHub repository
Source code of the client library
Example project
A complete example project using MCP
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