Waferlock Robot
byjasonlcs
0Bridges data from the Waferlock Robot MCP public REST API to Model Context Protocol clients like ChatGPT Desktop via a local server.
About
This project offers a standalone command-line interface designed to seamlessly connect the Waferlock Robot's Model Context Protocol (MCP) data, exposed via a public REST API on Heroku, with various MCP-compatible client applications, such as ChatGPT Desktop. By launching a local stdio-based MCP server, it allows users to access and utilize the Waferlock Robot's capabilities with just an API URL and token, significantly enhancing security by eliminating the need to expose sensitive AWS credentials.
Key Features
- Launches a local stdio-based Model Context Protocol (MCP) server
- 0 GitHub stars
- Independent CLI for Waferlock Robot MCP integration
- Eliminates exposure of AWS credentials, requiring only API URL and token
- Configurable via command-line arguments, environment variables, or .env files
- Bridges data from public REST API to MCP clients (e.g., ChatGPT Desktop)
Use Cases
- Creating secure, local interfaces for remote REST APIs that require token-based access
- Connecting Waferlock Robot data and functionalities to AI chat clients like ChatGPT Desktop
- Developing and testing MCP-compatible applications without direct exposure to cloud credentials
Sponsored