Agenty Automation
This skill automates Agenty operations using Composio's Agenty toolkit through Rube MCP.
Install
npx promptshop add agenty-automationDetails
What This Skill Does
This skill automates Agenty operations using Composio's Agenty toolkit through Rube MCP. It allows users to discover available tools, check connections, and execute tasks within the Agenty environment. It is designed for developers and automation engineers who need to integrate Agenty functionalities into their workflows.
When to Use
- Discover available Agenty tools.
- Check the status of an Agenty connection.
- Execute specific Agenty tasks.
- Automate web scraping tasks.
- Integrate Agenty with other systems.
- Troubleshoot Agenty connection issues.
Key Features
- Automates Agenty operations via Rube MCP.
- Uses Composio's Agenty toolkit.
- Discovers available tools using RUBE_SEARCH_TOOLS.
- Manages connections using RUBE_MANAGE_CONNECTIONS.
- Executes tools using RUBE_MULTI_EXECUTE_TOOL.
- Provides a structured workflow pattern.
Manual Installation
Agenty Automation via Rube MCP
Automate Agenty operations through Composio's Agenty toolkit via Rube MCP.
Toolkit docs: composio.dev/toolkits/agenty
Prerequisites
Rube MCP must be connected (RUBE_SEARCH_TOOLS available) Active Agenty connection via RUBE_MANAGE_CONNECTIONS with toolkit agenty 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 agenty 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: "Agenty 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 Agenty task"}] session: {id: "existing_session_id"}
Step 2: Check Connection
RUBE_MANAGE_CONNECTIONS toolkits: ["agenty"] 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 Agenty-specific use case |
| Connect | RUBE_MANAGE_CONNECTIONS with toolkit agenty |
| 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 |