# com.mcparmory/launchdarkly

> Use this tool when you need to manage and optimize feature releases, or roll out targeted experiences to specific user segments. It solves problems related to feature flag management, team collaboration, and environment configuration. The tool accepts inputs such as feature flag definitions and team member assignments, and outputs include controlled feature releases and targeted user experiences.

Canonical page: https://skillsregistry.net/skills/com-mcparmory-launchdarkly  
JSON: https://api.skillsregistry.net/v1/skills/com-mcparmory-launchdarkly

## Description

Manage feature flags, segments, projects, environments, and team members

## Trust

- **Trust score (0–1):** 0.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.3
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/com.mcparmory%2Flaunchdarkly)
- **Repository:** <https://github.com/mcparmory/registry>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "com-mcparmory-launchdarkly"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/com-mcparmory-launchdarkly` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/com-mcparmory-launchdarkly/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt