Fast Download Qlerify Data
CRITICAL: When saving ANY Qlerify data to a file, use curl + jq instead of MCP tools. MCP responses pass through AI context which takes minutes for large data. Shell pipes take seconds.
Step 1: Find MCP credentials
bash
# Check MCP config locations cat ~/.claude/settings.local.json 2>/dev/null | jq -r '.mcpServers.qlerify // empty' cat .mcp.json 2>/dev/null | jq -r '.mcpServers.qlerify // empty'
Extract the url and headers.x-api-key.
Step 2: Generic pattern for any MCP tool
bash
curl -s "$MCP_URL" \
-H "x-api-key: $API_KEY" \
-H "Content-Type: application/json" \
-d '{
"jsonrpc": "2.0",
"id": 1,
"method": "tools/call",
"params": {
"name": "TOOL_NAME",
"arguments": { ...ARGS... }
}
}' | jq -r '.result.content[0].text | fromjson' > output.json
Common examples
Full workflow → JSON file
bash
curl -s "$MCP_URL" -H "x-api-key: $API_KEY" -H "Content-Type: application/json" \
-d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"get_workflow","arguments":{"workflowId":"...","projectId":"..."}}}' \
| jq -r '.result.content[0].text | fromjson | .workflow' > workflow.json
OpenAPI spec → YAML file
bash
curl -s "$MCP_URL" -H "x-api-key: $API_KEY" -H "Content-Type: application/json" \
-d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"generate_openapi_spec","arguments":{"workflowId":"...","projectId":"...","boundedContextId":"..."}}}' \
| jq -r '.result.content[0].text' > swagger.yaml
Entities list → JSON file
bash
curl -s "$MCP_URL" -H "x-api-key: $API_KEY" -H "Content-Type: application/json" \
-d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"list_entities","arguments":{"workflowId":"...","projectId":"..."}}}' \
| jq -r '.result.content[0].text | fromjson | .schemas' > entities.json
Domain events → JSON file
bash
curl -s "$MCP_URL" -H "x-api-key: $API_KEY" -H "Content-Type: application/json" \
-d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"list_domain_events","arguments":{"workflowId":"...","projectId":"..."}}}' \
| jq -r '.result.content[0].text | fromjson | .domainEvents' > events.json
When to use what
| Data size | Method | Example |
|---|---|---|
| Small (< 50 lines) | MCP tool | list_workflows, get_workflow_overview |
| Large (> 50 lines) | curl + jq | get_workflow, generate_openapi_spec, list_entities, list_domain_events |
| Any "save to file" | curl + jq | Always, regardless of size |
Finding IDs first
Use MCP tools for small lookups:
- •
list_workflows→ get workflow ID and project ID - •
get_workflow_overview→ get bounded context IDs
Then use curl for the actual data fetch.