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Create and edit code files via WebSocket using natural language commands.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Aider MCP WebSocket Server" yet — see the docs or source repo.
In a new isolated workspace, create a Node.js REST API scaffold with Express, environment variable config, a health check endpoint, and a README, then list the created files.
A complete project structure, starter code files, and README are created, with a list of added files.
Inspect the Python project in the current workspace, replace all debug print statements with logging while preserving behavior, and summarize the modified files and key changes.
Multi-file code edits are completed, with a summary of changes and the files that were updated.
Add a dark mode toggle to this frontend app: include state management, style variables, and a toggle button, and update the related test files.
Feature code and tests are added, relevant files are updated consistently, and the result is ready for further development or review.
Coordinate multiple AI agents safely on the same codebase in real time.
Turn web API configs into MCP servers for direct AI integration.
Safely send prompts to ChatGPT Web and assist with repository tasks.
Connect, send, receive, and manage WebSocket workflows for real-time communication.
Give AI agents persistent identities and friend-based cross-platform messaging.
Access versatile utility tools via FastAPI and WebSocket for development automation.