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launch_darkly-automation

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LaunchDarkly Automation via Rube MCP

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

Toolkit docs: composio.dev/toolkits/launch_darkly

Prerequisites

  • Rube MCP must be connected (RUBE_SEARCH_TOOLS available)
  • Active LaunchDarkly connection via RUBE_MANAGE_CONNECTIONS with toolkit launch_darkly
  • 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 launch_darkly
  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": "feature flags, environments, segments, and rollout management", "known_fields": ""}]

This returns:

  • Available tool slugs for LaunchDarkly
  • Recommended execution plan steps
  • Known pitfalls and edge cases
  • Input schemas for each tool

Core Workflows

1. Discover Available LaunchDarkly Tools

RUBE_SEARCH_TOOLS:
  queries:
    - use_case: "list all available LaunchDarkly tools and capabilities"

Review the returned tools, their descriptions, and input schemas before proceeding.

2. Execute LaunchDarkly Operations

After discovering tools, execute them via:

RUBE_MULTI_EXECUTE_TOOL:
  tools:
    - tool_slug: "<discovered_tool_slug>"
      arguments: {<schema-compliant arguments>}
  memory: {}
  sync_response_to_workbench: false

3. Multi-Step Workflows

For complex workflows involving multiple LaunchDarkly operations:

  1. Search for all relevant tools: RUBE_SEARCH_TOOLS with specific use case
  2. Execute prerequisite steps first (e.g., fetch before update)
  3. Pass data between steps using tool responses
  4. Use RUBE_REMOTE_WORKBENCH for bulk operations or data processing

Common Patterns

Search Before Action

Always search for existing resources before creating new ones to avoid duplicates.

Pagination

Many list operations support pagination. Check responses for next_cursor or page_token and continue fetching until exhausted.

Error Handling

  • Check tool responses for errors before proceeding
  • If a tool fails, verify the connection is still ACTIVE
  • Re-authenticate via RUBE_MANAGE_CONNECTIONS if connection expired

Batch Operations

For bulk operations, use RUBE_REMOTE_WORKBENCH with run_composio_tool() in a loop with ThreadPoolExecutor for parallel execution.

Known Pitfalls

  • Always search tools first: Tool schemas and available operations may change. Never hardcode tool slugs without first discovering them via RUBE_SEARCH_TOOLS.
  • Check connection status: Ensure the LaunchDarkly connection is ACTIVE before executing any tools. Expired OAuth tokens require re-authentication.
  • Respect rate limits: If you receive rate limit errors, reduce request frequency and implement backoff.
  • Validate schemas: Always pass strictly schema-compliant arguments. Use RUBE_GET_TOOL_SCHEMAS to load full input schemas when schemaRef is returned instead of input_schema.

Quick Reference

OperationApproach
Find toolsRUBE_SEARCH_TOOLS with LaunchDarkly-specific use case
ConnectRUBE_MANAGE_CONNECTIONS with toolkit launch_darkly
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

Toolkit docs: composio.dev/toolkits/launch_darkly

Source

git clone https://github.com/ComposioHQ/awesome-claude-skills/blob/master/composio-skills/launch_darkly-automation/SKILL.mdView on GitHub

Overview

Automate LaunchDarkly operations through Composio's Rube MCP toolkit. This enables managing feature flags, environments, segments, and rollouts from a unified workflow. Always search for current tool schemas before taking actions to avoid stale definitions.

How This Skill Works

Connect to LaunchDarkly using RUBE_MANAGE_CONNECTIONS with the launch_darkly toolkit and ensure the connection is ACTIVE. Use RUBE_SEARCH_TOOLS to fetch available LD tools and their input schemas, then execute actions with RUBE_MULTI_EXECUTE_TOOL or RUBE_REMOTE_WORKBENCH for bulk tasks. The workflow emphasizes discovering tools first and validating schemas before making changes.

When to Use It

  • Before making any changes, discover available LaunchDarkly tools and their input schemas to avoid guessing.
  • You need to enable/disable a flag or adjust rollout percentages across environments.
  • You want to perform bulk operations across many flags, environments, segments, or rollouts.
  • You're orchestrating a multi-step LD workflow that requires data passed between steps.
  • You suspect the LaunchDarkly connection or tokens have expired and need re-authentication.

Quick Start

  1. Step 1: Verify RUBE MCP and ensure RUBE_SEARCH_TOOLS responds; prepare your LD toolkit connection.
  2. Step 2: Discover available LaunchDarkly tools and their input schemas with RUBE_SEARCH_TOOLS.
  3. Step 3: Execute a chosen tool using RUBE_MULTI_EXECUTE_TOOL (or RUBE_REMOTE_WORKBENCH for bulk tasks) and validate the ACTIVE connection.

Best Practices

  • Always search tools first to get current tool schemas and avoid hardcoding slugs.
  • Verify the LaunchDarkly connection is ACTIVE before executing any tools.
  • Validate inputs against the tool schemas; use RUBE_GET_TOOL_SCHEMAS when schemaRef is returned.
  • Respect rate limits; implement backoff and retry strategies for LD API interactions.
  • Use RUBE_REMOTE_WORKBENCH for bulk operations and thread-pooled parallel execution, sharing results across steps.

Example Use Cases

  • Discover all available LaunchDarkly tools, then run a single flag enablement across multiple environments.
  • Update rollout percentages for a set of flags across several environments in one workflow.
  • Fetch lists of flags, environments, and segments, then perform a dependent multi-step update.
  • Proceed with a multi-step LD workflow and re-authenticate if an access token expires mid-process.
  • Bulk clean up deprecated flags using RUBE_REMOTE_WORKBENCH with parallel execution.

Frequently Asked Questions

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