API Labz Automation
Automate Api Labz operations via Rube MCP integration.
Install
npx promptshop add api-labz-automationDetails
What This Skill Does
- This skill automates API Labz operations using Composio's API Labz toolkit through Rube MCP.
- It is designed for developers who need to integrate API Labz functionalities into their workflows.
- The skill ensures proper setup, tool discovery, and execution while adhering to schema compliance.
When to Use
- Automate API Labz tasks.
- Discover available API tools.
- Check API Labz connection status.
- Execute specific API Labz tools.
- Handle schema-compliant arguments.
- Integrate API Labz into workflows.
Key Features
- Uses Rube MCP for API Labz automation.
- Requires an active API Labz connection.
- Employs RUBE_SEARCH_TOOLS for tool discovery.
- Utilizes RUBE_MANAGE_CONNECTIONS for connection checks.
- Executes tools via RUBE_MULTI_EXECUTE_TOOL.
- Ensures schema compliance with API Labz.
Manual Installation
Manual installationView Full Skill ContentThe complete markdown content that gets installedAPI Labz Automation via Rube MCP
Automate API Labz operations through Composio's API Labz toolkit via Rube MCP.
Toolkit docs: composio.dev/toolkits/api_labz
Prerequisites
Rube MCP must be connected (RUBE_SEARCH_TOOLS available) Active API Labz connection via RUBE_MANAGE_CONNECTIONS with toolkit api_labz Always call RUBE_SEARCH_TOOLS first to get current tool schemas
Setup
- Get Rube MCP: Add https://rube.
- No API keys needed — just add the endpoint and it works.
Verify Rube MCP is available by confirming RUBE_SEARCH_TOOLS responds Call RUBE_MANAGE_CONNECTIONS with toolkit api_labz If connection is not ACTIVE, follow the returned auth link to complete setup Confirm connection status shows ACTIVE before running any workflows
Tool Discovery
Always discover available tools before executing workflows:
RUBE_SEARCH_TOOLS queries: [{use_case: "API Labz operations", known_fields: ""}] session: {generate_id: true}
This returns available tool slugs, input schemas, recommended execution plans, and known pitfalls.
Core Workflow Pattern
Step 1: Discover Available Tools
RUBE_SEARCH_TOOLS queries: [{use_case: "your specific API Labz task"}] session: {id: "existing_session_id"}
Step 2: Check Connection
RUBE_MANAGE_CONNECTIONS toolkits: ["api_labz"] session_id: "your_session_id"
Step 3: Execute Tools
RUBE_MULTI_EXECUTE_TOOL tools: [{ tool_slug: "TOOL_SLUG_FROM_SEARCH", arguments: {/ schema-compliant args from search results /} }] memory: {} session_id: "your_session_id"
Known Pitfalls
- Always search first: Tool schemas change.
- Never hardcode tool slugs or arguments without calling RUBE_SEARCH_TOOLS. Check connection: Verify RUBE_MANAGE_CONNECTIONS shows ACTIVE status before executing tools Schema compliance: Use exact field names and types from the search results Memory parameter: Always include memory in RUBE_MULTI_EXECUTE_TOOL calls, even if empty ({})
- Session reuse: Reuse session IDs within a workflow.
- Generate new ones for new workflows. Pagination: Check responses for pagination tokens and continue fetching until complete
Quick Reference
| Operation | Approach |
|---|---|
| Find tools | RUBE_SEARCH_TOOLS with API Labz-specific use case |
| Connect | RUBE_MANAGE_CONNECTIONS with toolkit api_labz |
| Execute | RUBE_MULTI_EXECUTE_TOOL with discovered tool slugs |
| Bulk ops | RUBE_REMOTE_WORKBENCH with run_composio_tool() |
| Full schema | RUBE_GET_TOOL_SCHEMAS for tools with schemaRef |