Provides seamless access to GA4GH Task Execution Service (TES) functionality, empowering AI assistants and LLMs to manage computational tasks.
The Poiesis server acts as a Model Context Protocol (MCP) server, enabling AI assistants and large language models to programmatically interact with GA4GH Task Execution Service (TES) compliant services. It facilitates the entire lifecycle of computational tasks, from creation and submission to monitoring and management, allowing intelligent agents to orchestrate complex computational workloads efficiently.
Key Features
01Enables AI/LLMs to create computational tasks
02Supports AI/LLMs in managing computational tasks
03Allows AI/LLMs to monitor computational tasks
040 GitHub stars
05Seamless access to GA4GH TES functionality
06Configurable via environment variables for TES access, server settings, and task polling
Use Cases
01Integrating AI assistants with computational task execution services
02Automating the submission and monitoring of complex computational jobs via an AI/LLM interface
03Allowing LLMs to programmatically manage scientific or data processing workflows
