Chatfai Automation

What This Skill Does

• This skill automates Chatfai operations via the Composio Chatfai toolkit through Rube MCP.
• It enables users to discover, connect to, and execute tools within the Chatfai platform.
• This is ideal for developers and automation specialists seeking to optimize Chatfai workflows.

When to Use

• Create a new Chatfai project.
• Update an existing project's configuration.
• Retrieve project performance data.
• Manage Chatfai models.
• Integrate Chatfai with external systems.
• Debug Chatfai related issues.

Key Features

• Discovers available Chatfai tools using Rube MCP.
• Checks the connection status to Chatfai.
• Executes Chatfai tools with schema compliance.
• Provides setup instructions for Rube MCP and Chatfai.
• Offers a core workflow pattern for tool execution.
• Highlights common pitfalls and how to avoid them.

Manual Installation

• Manual installation
• View Full Skill Content
• The complete markdown content that gets installed
• Chatfai Automation via Rube MCP

Automate Chatfai operations through Composio's Chatfai toolkit via Rube MCP.

Toolkit docs: composio.dev/toolkits/chatfai

Prerequisites

Rube MCP must be connected (RUBE_SEARCH_TOOLS available) Active Chatfai connection via RUBE_MANAGE_CONNECTIONS with toolkit chatfai 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 chatfai 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: "Chatfai 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 Chatfai task"}] session: {id: "existing_session_id"}

Step 2: Check Connection

RUBE_MANAGE_CONNECTIONS toolkits: ["chatfai"] 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

• Powered by Composio
• Chatfai Automation via Rube MCP

Automate Chatfai operations through Composio's Chatfai toolkit via Rube MCP.

Toolkit docs: composio.dev/toolkits/chatfai

Rube MCP must be connected (RUBE_SEARCH_TOOLS available) Active Chatfai connection via RUBE_MANAGE_CONNECTIONS with toolkit chatfai Always call RUBE_SEARCH_TOOLS first to get current tool schemas

• 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 chatfai If connection is not ACTIVE, follow the returned auth link to complete setup Confirm connection status shows ACTIVE before running any workflows

Always discover available tools before executing workflows:

RUBE_SEARCH_TOOLS queries: [{use_case: "Chatfai operations", known_fields: ""}] session: {generate_id: true}

This returns available tool slugs, input schemas, recommended execution plans, and known pitfalls.

RUBE_SEARCH_TOOLS queries: [{use_case: "your specific Chatfai task"}] session: {id: "existing_session_id"}

RUBE_MANAGE_CONNECTIONS toolkits: ["chatfai"] session_id: "your_session_id"

RUBE_MULTI_EXECUTE_TOOL tools: [{ tool_slug: "TOOL_SLUG_FROM_SEARCH", arguments: {/ schema-compliant args from search results /} }] memory: {} session_id: "your_session_id"

• 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

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