Spondyr Automation
The Spondyr Automation skill allows users to automate operations within the Spondyr platform via the Composio Rube MCP integration. It is designed for users ...
Install
npx promptshop add spondyr-automationDetails
What This Skill Does
The Spondyr Automation skill allows users to automate operations within the Spondyr platform via the Composio Rube MCP integration. It is designed for users who need to manage and interact with Spondyr programmatically. The skill leverages Rube MCP to discover and execute Spondyr tools.
When to Use
- Automate data extraction from Spondyr.
- Trigger Spondyr workflows based on external events.
- Manage Spondyr configurations programmatically.
- Integrate Spondyr with other systems.
- Monitor Spondyr activity and performance.
- Schedule routine Spondyr maintenance tasks.
Key Features
- Uses Rube MCP for tool discovery and execution.
- Requires an active Spondyr connection.
- Employs
RUBE_SEARCH_TOOLSto dynamically find available tools. - Utilizes
RUBE_MANAGE_CONNECTIONSto manage the Spondyr connection. - Executes tools via
RUBE_MULTI_EXECUTE_TOOL. - Provides a structured workflow for Spondyr automation.
Manual Installation
Spondyr Automation via Rube MCP
Automate Spondyr operations through Composio's Spondyr toolkit via Rube MCP.
Toolkit docs: composio.dev/toolkits/spondyr
Prerequisites
Rube MCP must be connected (RUBE_SEARCH_TOOLS available) Active Spondyr connection via RUBE_MANAGE_CONNECTIONS with toolkit spondyr Always call RUBE_SEARCH_TOOLS first to get current tool schemas
Setup
Get Rube MCP: Add https://rube.app/mcp as an MCP server in your client configuration. 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 spondyr 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: "Spondyr 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 Spondyr task"}] session: {id: "existing_session_id"}
Step 2: Check Connection
RUBE_MANAGE_CONNECTIONS toolkits: ["spondyr"] 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 Spondyr-specific use case |
| Connect | RUBE_MANAGE_CONNECTIONS with toolkit spondyr |
| 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 |