Codacy Automation via Rube MCP

SkillSearch

codacy-automation lets your AI take care of Codacy code-quality work for you. Once added, your AI can check on and manage your Codacy projects and automate routine quality tasks through a connected toolkit.

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

After adding it, ask your AI to search the available Codacy tools first so it works from current details, then tell it which project or task to handle.

Then ask your AI: use the Codacy Automation via Rube MCP skill

What your AI can do with it

  • Automate routine Codacy code-quality tasks
  • Check the status of your Codacy projects
  • Manage your Codacy projects from a conversation
  • Look up the available Codacy tools and their current details before acting

What this skill tells your AI

The instructions your AI receives, as published by composio-community/awesome-codex-skills in composio-skills/codacy-automation/SKILL.md and read by ahel’s review.

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

Toolkit docs: composio.dev/toolkits/codacy

Prerequisites

  • Rube MCP must be connected (RUBE_SEARCH_TOOLS available)
  • Active Codacy connection via RUBE_MANAGE_CONNECTIONS with toolkit codacy
  • 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.

  1. Verify Rube MCP is available by confirming RUBE_SEARCH_TOOLS responds
  2. Call RUBE_MANAGE_CONNECTIONS with toolkit codacy
  3. If connection is not ACTIVE, follow the returned auth link to complete setup
  4. Confirm connection status shows ACTIVE before running any workflows

Tool Discovery

Always discover available tools before executing workflows:

RUBE_SEARCH_TOOLS
queries: [{use_case: "Codacy 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 Codacy task"}]
session: {id: "existing_session_id"}

Step 2: Check Connection

RUBE_MANAGE_CONNECTIONS
toolkits: ["codacy"]
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

OperationApproach
Find toolsRUBE_SEARCH_TOOLS with Codacy-specific use case
ConnectRUBE_MANAGE_CONNECTIONS with toolkit codacy
ExecuteRUBE_MULTI_EXECUTE_TOOL with discovered tool slugs
Bulk opsRUBE_REMOTE_WORKBENCH with run_composio_tool()
Full schemaRUBE_GET_TOOL_SCHEMAS for tools with schemaRef

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Item type
skill
Key
codacy-automation
Source
github.com/composio-community/awesome-codex-skills