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openmcp client

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Basic Information

OpenMCP Client is a developer-focused toolkit for building, debugging and testing MCP (multi-component protocol) servers and agent-like apps. It combines an integrated inspector, interactive testing module, and MCP client features into a single project that targets VSCode, Electron and web deployments. The repository provides frontend renderer code, a backend service layer used as a forwarding/testing component, and VSCode extension sources for IDE integration. It is intended to let developers assemble renderer, service and protocol adapters to run and debug MCP servers locally, run multi-model interactions, and prepare a verified MCP configuration that can be deployed later with the companion openmcp-sdk. The README and project structure emphasize live debugging, project-level management and tools testing across different platforms and modes.

Links

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App URL
https://github.com/LSTM-Kirigaya/openmcp-client
Github Repository
https://github.com/LSTM-Kirigaya/openmcp-client/blob/main/README.md

App Details

Features
Integrated inspector and MCP client basic functions for server debugging and interactive testing. Project-level management panel to manage MCP projects at project and global levels. Interactive Testing module to run and verify tools, prompts and resources against large models. Support for multiple large models and XML mode with customizable tool selection. Layered modular design with separate renderer (frontend), service (testing/forwarding) and VSCode extension sources for IDE integration. Build and development scripts such as setup, serve, build and build:plugin for building the extension. CI pipeline entries and a roadmap recorded in the README. Companion openmcp-sdk readiness to export and deploy debugged configurations as agent apps.
Use Cases
The repository accelerates MCP development by centralizing debugging, prompt testing and tool verification in one environment. Developers can run a dev server, connect to MCP servers, exercise tools interactively and confirm large-model interactions before deployment. The modular architecture supports swapping renderers and services to target web, desktop or plugin deployments and to reproduce issues across platforms. Integration with a deployable SDK enables a smooth flow from local debugging to production agent apps. The project also provides build targets for packaging a VSCode extension, CI checks for builds and unit tests, and community channels for contribution and support, making collaboration and iteration easier.

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