# LaunchDarkly MCP Server

> LaunchDarkly MCP Server — helper1234286-launchdarkly-mcp-server. Use this tool when you need to manage LaunchDarkly feature flags efficiently, as it enables AI assistants to control and update flags using natural language inputs, solving problems of manual flag management and streamlining development workflows. It takes natural language commands as input and outputs corresponding feature flag updates, allowing for seamless integration with LaunchDarkly. Ideal for use cases where automated and intuitive flag management is required, such as in agile development environments or continuous integration pipelines.

Canonical page: https://skillsregistry.net/skills/helper1234286-launchdarkly-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/helper1234286-launchdarkly-mcp-server

## Description

An MCP server that lets AI assistants manage LaunchDarkly feature flags via natural language.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/t3fevfpsgt)
- **Repository:** <https://github.com/helper1234286/launchdarkly-mcp-server>

## 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": "helper1234286-launchdarkly-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/helper1234286-launchdarkly-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/helper1234286-launchdarkly-mcp-server/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