Provides access to containerized computational task execution through GA4GH Task Execution Service (TES), enabling creation, monitoring, and management of Docker-based computational workflows
Enables seamless access to GA4GH Task Execution Service (TES) functionality for creating, monitoring, and managing computational tasks through a TES-compliant service
Poiesis MCP Server
A Model Context Protocol (MCP) server that provides seamless access to GA4GH Task Execution Service (TES) functionality. This server enables AI assistants and LLMs to create, monitor, and manage computational tasks through a TES-compliant service.
Prerequisites
Access to a GA4GH TES-compliant service, Check out Poiesis.
MCP clients like Claude, Gemini etc.
Installation
TBA.
tl;dr: Either install poiesis_mcp or use its Docker image to start the server.
Configuration
Configure the server using environment variables:
Required Configuration
TES_URL: The base URL of your TES service (e.g.,https://tes.example.com)TES_TOKEN: Authentication token for the TES service
Optional Configuration
TES_REQUEST_TIMEOUT: HTTP request timeout in seconds (default: 60)TES_MAX_RETRIES: Maximum number of retry attempts (default: 3)TES_BACKOFF_FACTOR: Backoff factor for retries (default: 1.0)MCP_HOST: Server host address (default: 0.0.0.0)MCP_PORT: Server port number (default: 8080)LOG_LEVEL: Logging level - DEBUG, INFO, WARNING, ERROR (default: INFO)TASK_POLL_INTERVAL: Polling interval for task monitoring in seconds (default: 5)TASK_POLL_MAX_ATTEMPTS: Maximum polling attempts (default: 120)
This server cannot be installed
remote-capable server
The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.
Enables AI assistants to create, monitor, and manage computational tasks through GA4GH Task Execution Service (TES) functionality. Provides seamless access to TES-compliant services for executing bioinformatics and scientific computing workflows.