How to connect Seqera to Claude Cowork

Cowork is Anthropic's AI agent for knowledge work. Think of it as Claude Code for everything else. It works autonomously with your computer, local files, and applications to accomplish complex tasks.

This guide walks you through the easiest and most secure way to connect your Seqera account to Cowork via Composio Connect, enabling it to launch a new Nextflow pipeline run, monitor status of active pipeline jobs, list recent workflow execution logs, and more such actions on your behalf without compromising your account security.

Connecting Seqera to Claude Cowork

1. Open Customize

In Claude Desktop, click Customize in the left sidebar, then select Connectors and click the + icon at the top.

2. Add the Composio MCP server

Click Add custom connector and paste in the Composio MCP server URL:

Claude Cowork is Anthropic's agent for general knowledge work. It can use your computer, files, and connected applications to complete longer-running tasks across your work tools.

With Composio Connect, Cowork can securely access apps like Seqera through MCP without you sharing account credentials directly with the agent.

The Seqera MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Seqera account. It provides structured and secure access to your workflow orchestration environment, so your agent can perform actions like running pipelines, monitoring jobs, managing compute resources, and automating Nextflow processes on your behalf.

• Pipeline orchestration and execution: Launch, schedule, and track complex Nextflow pipelines across cloud and on-prem infrastructure without manual intervention.
• Job monitoring and status updates: Let your agent check the progress, status, and logs of running or completed workflows to keep you updated in real time.
• Compute environment management: Automatically provision, scale, or tear down compute environments to match your workflow needs.
• Resource usage and cost tracking: Retrieve detailed metrics on resource consumption and workflow costs to optimize performance and spending.
• Error detection and alerting: Quickly identify failed jobs or bottlenecks and trigger alerts or automated troubleshooting steps to maintain workflow reliability.