Bio-OS MCP Server

what is Bio-OS MCP Server? Bio-OS MCP Server is a Model Context Protocol (MCP) based tool designed for Bio-OS instance platforms, providing workflow management and Docker image building capabilities. how to use Bio-OS MCP Server? To use the Bio-OS MCP Server, you can either install it locally using VSCode with the CLINE extension or deploy it in the Miracle Cloud using a pre-configured Docker image. Follow the installation and configuration steps provided in the documentation to get started. key features of Bio-OS MCP Server? Workflow management: Submit, monitor, and validate workflows. Docker image management: Build and check the status of Docker images. API reference for various functions related to workflow and Docker management. use cases of Bio-OS MCP Server? Managing and executing complex bioinformatics workflows. Building and deploying Docker images for bioinformatics applications. Validating and generating input files for workflows. FAQ from Bio-OS MCP Server? What are the prerequisites for local installation? You need to install the Python package manager 'uv' and the Cromwell workflow execution engine. Can I use Bio-OS MCP Server in the cloud? Yes! You can deploy it using a pre-configured Docker image in Miracle Cloud. Is there support for prompts in CLINE? Currently, prompts are not supported in CLINE but are available when using the MCP server directly.

As an MCP (Model Context Protocol) server, Bio-OS MCP Server enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.

To use the Bio-OS MCP Server, you can either install it locally using VSCode with the CLINE extension or deploy it in the Miracle Cloud using a pre-configured Docker image. Follow the installation and configuration steps provided in the documentation to get started. key features of Bio-OS MCP Server? Workflow management: Submit, monitor, and validate workflows. Docker image management: Build and check the status of Docker images. API reference for various functions related to workflow and Docker management. use cases of Bio-OS MCP Server? Managing and executing complex bioinformatics workflows. Building and deploying Docker images for bioinformatics applications. Validating and generating input files for workflows. FAQ from Bio-OS MCP Server? What are the prerequisites for local installation? You need to install the Python package manager 'uv' and the Cromwell workflow execution engine. Can I use Bio-OS MCP Server in the cloud? Yes! You can deploy it using a pre-configured Docker image in Miracle Cloud. Is there support for prompts in CLINE? Currently, prompts are not supported in CLINE but are available when using the MCP server directly.

Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.