Skip to main content
Glama
WORKFLOW_INFO.md2.06 kB
# Your Opus Workflow Information ## Workflow Details - **Workflow ID**: `0QmgC3yBQZTRUH2k` - **Workflow URL**: https://app.opus.com/app/workflow/0QmgC3yBQZTRUH2k - **API Key**: Configured in Factory MCP settings ## Quick Commands for Droid Once you restart Droid, you can use these commands: ### 1. Get Workflow Details ``` Get the details for workflow 0QmgC3yBQZTRUH2k ``` This will show you all required inputs and their types. ### 2. Initiate a Job ``` Initiate a job for workflow 0QmgC3yBQZTRUH2k with title "My Job Title" and description "My job description" ``` ### 3. Execute Job (after getting schema from step 1) ``` Execute job [jobExecutionId] with these inputs: [your input values] ``` ### 4. Check Status ``` Check status of job [jobExecutionId] ``` ### 5. Get Results ``` Get results for job [jobExecutionId] ``` ## Complete Workflow Example ``` You: Get the details for workflow 0QmgC3yBQZTRUH2k Droid: [Uses get_workflow_details tool and shows the schema] You: Initiate a job for this workflow with title "Test Run" and description "Testing the workflow" Droid: [Uses initiate_job and returns jobExecutionId, e.g., "2514"] You: Execute job 2514 with [populate based on the schema from step 1] Droid: [Uses execute_job to start the workflow] You: Check status of job 2514 Droid: [Uses get_job_status - shows "IN PROGRESS" or "COMPLETED"] You: Get results for job 2514 Droid: [Uses get_job_results when job is complete] ``` ## Available Tools The Opus MCP server provides these tools: 1. `get_workflow_details` - Get workflow schema and requirements 2. `initiate_job` - Create a new job instance 3. `generate_file_upload_url` - Get URLs for file uploads 4. `execute_job` - Run the job with inputs 5. `get_job_status` - Check job progress 6. `get_job_results` - Retrieve completed results 7. `get_job_audit_log` - View execution audit trail ## Next Steps 1. **Restart Droid** to load the MCP server 2. **Test the connection** by asking Droid to get workflow details 3. **Run your first job** using the workflow ID above

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/Moenamatics/Opus-MCP'

If you have feedback or need assistance with the MCP directory API, please join our Discord server