Poiesis MCP Server
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.
README
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)
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.