Ermöglicht es einem AI-Client, Feature Flags, Experimente und AI-Konfigurationen innerhalb von LaunchDarkly EU- oder Federal-Umgebungen zu verwalten.
Auch bekannt als launchdarkly/mcp-server, @launchdarkly/mcp-server
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- Letzter Commit
- 14. Nov. 2026
- Lizenz
- MIT
Was ist LaunchDarkly MCP?
LaunchDarkly ist ein MCP server. Ermöglicht es einem AI-Client, Feature Flags, Experimente und AI-Konfigurationen innerhalb von LaunchDarkly EU- oder Federal-Umgebungen zu verwalten.
Zusammenfassung generiert aus dem README des Projekts
Über LaunchDarkly MCP server
Dieser lokale MCP server ermöglicht es Entwicklern, Feature Flags, Experimente und AI-Konfigurationen innerhalb von LaunchDarkly EU- oder Federal-Umgebungen zu verwalten. Er bietet eine Möglichkeit, AI-Clients wie Claude, Cursor oder GitHub Copilot CLI direkt mit spezifischen LaunchDarkly-Instanzen zu verbinden, die die hosted Version noch nicht unterstützen. Nutzer können über eine AI-Schnittstelle mit ihrer Continuous-Delivery-Plattform interagieren, um Feature Rollouts zu steuern und Metriken zu überwachen.
Um diesen Server zu nutzen, musst du bei der Einrichtung einen LaunchDarkly API-Key angeben. Er kann lokal mit npx unter Verwendung spezifischer Node.js-Versionen, via Docker oder durch Klonen des Repositorys für einen manuellen Build ausgeführt werden. Für Federal- oder EU-Umgebungen musst du die korrekte Server-URL über das Argument --server-url angeben. Der Server bietet Zugriff auf verschiedene Ressourcen, darunter AiConfigs, Experiments, FeatureFlags und AuditLog-Einträge.
Was du damit machen kannst
- 1Feature Flag Status verwaltenFrag deinen AI-Client, um den aktuellen Status eines Feature Flags über verschiedene Umgebungen hinweg zu prüfen.
- 2AI-Konfigurationen ändernAnweise eine AI, die Targeting-Regeln für eine spezifische AI-Konfiguration zu aktualisieren.
- 3Systemänderungen überprüfenFordere eine Liste der letzten Einträge aus dem Audit Log an, um die Plattform-Aktivitäten zu verfolgen.
- 4Experiment-Daten analysierenLass die AI Details zu bestehenden Experimenten abrufen, um die aktuellen Testparameter zu verstehen.
Geschrieben aus dem README des Projekts. Jeder Use Case wurde gegen ein Zitat daraus geprüft.
So installierst du LaunchDarkly MCP
Formate geprüft am 10. Nov. 2026Zu Cursor hinzufügenZu Goose hinzufügenLaunchDarkly MCP in Claude Code installieren
$ claude mcp add mcp-server -- npx -y @launchdarkly/mcp-serverLaunchDarkly MCP in Cursor installieren
~/.cursor/mcp.json
{
"mcpServers": {
"mcp-server": {
"command": "npx",
"args": [
"-y",
"@launchdarkly/mcp-server"
]
}
}
}LaunchDarkly MCP in VS Code installieren
.vscode/mcp.json
{
"servers": {
"mcp-server": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@launchdarkly/mcp-server"
]
}
}
}LaunchDarkly MCP in VS Code CLI installieren
$ code --add-mcp '{"name":"mcp-server","type":"stdio","command":"npx","args":["-y","@launchdarkly/mcp-server"]}'LaunchDarkly MCP in Claude Desktop installieren
claude_desktop_config.json
{
"mcpServers": {
"mcp-server": {
"command": "npx",
"args": [
"-y",
"@launchdarkly/mcp-server"
]
}
}
}LaunchDarkly MCP in Codex installieren
$ codex mcp add mcp-server -- npx -y @launchdarkly/mcp-serverLaunchDarkly MCP in Codex config.toml installieren
~/.codex/config.toml
[mcp_servers.mcp-server] command = "npx" args = ["-y", "@launchdarkly/mcp-server"]
LaunchDarkly MCP in Gemini CLI installieren
$ gemini mcp add -s user mcp-server npx -- -y @launchdarkly/mcp-serverLaunchDarkly MCP in Gemini settings.json installieren
~/.gemini/settings.json
{
"mcpServers": {
"mcp-server": {
"command": "npx",
"args": [
"-y",
"@launchdarkly/mcp-server"
]
}
}
}Konfiguration
LD_ACCESS_TOKEN
| Name | Beschreibung | Typ |
|---|---|---|
| LD_ACCESS_TOKEN | — |
Automatisierte Checks
Geluften am 13. Nov. 2026Vollständiger Bericht →Unsere automatisierten Checks bestanden. Das ist kein Security-Audit: Lies den Code und gib dem Server nur den minimal notwendigen Zugriff. Wie die Checks funktionieren
- Source Repository verknüpft und erreichbarBestanden
- Open Source Lizenz (OSI)Bestanden
- Commit oder Release im letzten JahrBestanden
- Package-Name ähnelt keinem populären PackageBestanden
- Remote Endpoint nutzt HTTPSNicht geprüft
- Destruktive Tools sind markiertNicht geprüft
- Keine versteckten Anweisungen an das ModellBestanden
- Keine kritischen Advisories im Paket oder seinen AbhängigkeitenNicht geprüft
README
Auf GitHub ansehenLaunchDarkly local MCP server
The local Model Context Protocol (MCP) server for LaunchDarkly federal and European Union (EU) environments.
[!IMPORTANT] Use the LaunchDarkly hosted MCP server where available
LaunchDarkly strongly recommends using the hosted MCP server where it is available. The hosted server is more feature complete and receives more frequent updates than this self-managed server.
LaunchDarkly provides this self-managed MCP server for LaunchDarkly EU or Federal instances, which do not yet support the hosted MCP.
Table of Contents
Installation
This MCP server can be installed in any AI client that supports the MCP protocol. Refer to your AI client's instructions if it isn't listed here.
Runtime requirements
[!IMPORTANT] Some eMudhra intermediate certificate authorities were compromised in October 2026 (advisory). Anyone on your network who holds one of their keys could intercept the server's connection to LaunchDarkly and read your API access token.
- npx and local installs: use Node.js 22.23.4, 24.22.1, 26.12.1 or later. These releases reject the compromised intermediates. The server also rejects them itself and prints a warning on startup when your runtime does not.
- Docker: use image 0.7.1 or later. Those run on Node.js 24.22.1; 0.7.0 and earlier run on Node.js 24.2.0.
- Standalone binaries: stop using the
mcp-server-bun-*binaries attached to releases v0.6.1 and earlier. They embed a Bun runtime that does not reject the compromised intermediates, and they are no longer published. Switch to npx with a patched Node.js or to Docker.
Cursor installation steps
Create a .cursor/mcp.json file in your project root with the following content:
{
"mcpServers": {
"LaunchDarkly": {
"command": "npx",
"args": [
"-y", "--package", "@launchdarkly/mcp-server", "--", "mcp", "start",
"--api-key", "api-xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx"
]
}
}
}
Specify your API key as found on LaunchDarkly's Authorization page.
Claude installation steps
Add the following server definition to your claude_desktop_config.json file:
{
"mcpServers": {
"LaunchDarkly": {
"command": "npx",
"args": [
"-y", "--package", "@launchdarkly/mcp-server", "--", "mcp", "start",
"--api-key", "api-xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx"
]
}
}
}
Specify your API key as found on LaunchDarkly's Authorization page.
Qodo Gen installation steps
- Open Qodo Gen chat panel in VSCode or IntelliJ.
- Click
Connect more tools. - Click
+ Add new MCP. - Add the following configuration:
{
"mcpServers": {
"LaunchDarkly": {
"command": "npx",
"args": [
"-y", "--package", "@launchdarkly/mcp-server", "--", "mcp", "start",
"--api-key", "api-xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx"
]
}
}
}
Specify your API key as found on LaunchDarkly's Authorization page.
- Click
Save.
GitHub Copilot CLI installation steps
Use the Copilot CLI to interactively add the MCP server:
/mcp add
Or create/edit ~/.copilot/mcp-config.json with the following content:
{
"mcpServers": {
"LaunchDarkly": {
"command": "npx",
"args": [
"-y", "--package", "@launchdarkly/mcp-server", "--", "mcp", "start",
"--api-key", "api-xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx"
]
}
}
}
Specify your API key as found on LaunchDarkly's Authorization page.
For more information, see the GitHub Copilot CLI documentation.
Installation steps from a local clone
You can also run the MCP server locally by cloning this repository. Once cloned, you'll need to install dependencies (npm install) and build the server (npm run build).
Then, configure your server definition to reference your local clone. For example:
{
"mcpServers": {
"launchdarkly": {
"command": "node",
"args": [
"/path/to/mcp-server/bin/mcp-server.js", "start",
"--api-key", "api-xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx"
]
}
}
}
Installation steps using environment variables
Some AI clients allow for accessing environment variables within MCP configurations. In AI clients where this is supported, you can configure your MCP server to read from an environment variable like MCP_LD_TOKEN as follows:
{
"mcpServers": {
"launchdarkly": {
"command": "npx",
"args": [
"-y", "--package", "@launchdarkly/mcp-server", "--", "mcp", "start",
"--api-key", "$LD_ACCESS_TOKEN"
],
"env": {
"LD_ACCESS_TOKEN": "MCP_LD_TOKEN"
}
}
}
}
Installation steps for Docker
If installing the MCP server from the AWS Markeplace, pull the image using an authenticated role using the provided instructions in the marketplace listing.
To run the container:
docker run --rm -p 127.0.0.1:8080:8080 709825985650.dkr.ecr.us-east-1.amazonaws.com/launchdarkly/mcp --api-key api-xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx --auth-token "$MCP_AUTH_TOKEN"
The container listens on 0.0.0.0, so --auth-token (at least 16 characters) is required. Clients must send Authorization: Bearer <token> on /sse and /message. Outside Docker, the SSE transport listens on 127.0.0.1 by default; pass --host to change it, which also requires --auth-token for non-loopback hosts.
Then, configure your server definition to point at the running container. For example:
{
"mcpServers": {
"launchdarkly": {
"url": "http://localhost:8080/sse",
"headers": {
"Authorization": "Bearer <your --auth-token value>"
}
}
}
}
This won't work in AI clients (such as Cursor) which don't support accessing environment variables directly within MCP configurations. As a workaround, you can invoke a local script from your MCP configuration. See here for an example.
Requirements
For supported JavaScript runtimes, please consult RUNTIMES.md.
Available Resources and Operations
AiConfigs
- getTargeting - Show an AI Config's targeting
- updateTargeting - Update AI Config targeting
- list - List AI Configs
- create - Create new AI Config
- delete - Delete AI Config
- get - Get AI Config
- update - Update AI Config
- createVariation - Create AI Config variation
- deleteVariation - Delete AI Config variation
- getVariation - Get AI Config variation
- updateVariation - Update AI Config variation
AuditLog
- listEntries - List audit log entries
CodeReferences
- listRepositories - List repositories
Environments
- listByProject - List environments
Experiments
- list - Get experiments
- create - Create experiment
- get - Get experiment
- patch - Patch experiment
createIteration- Create iteration :warning: Deprecated- getExperimentsAnyEnv - Get experiments any environment
FeatureFlags
- getStatus - Get flag status across environments
- list - List feature flags
- create - Create a feature flag
- get - Get feature flag
- patch - Update feature flag
- delete - Delete feature flag
Metrics
Available Environments
Most customer accounts run on LaunchDarkly's commercial (default) environment. Customers on other environments can specify the --server-url argument to connect to the appropriate environment. For example, customers on LaunchDarkly's Federal environment should specify the --server-url https://app.launchdarkly.us argument when starting their MCP server.
| Environment | Server URL |
|---|---|
| Commercial (Default) | https://app.launchdarkly.com |
| Federal | https://app.launchdarkly.us |
| EU | https://app.eu.launchdarkly.com |
Contributions
While we value open-source contributions to this SDK, this library is generated programmatically. Any manual changes added to internal files will be overwritten on the next generation. We look forward to hearing your feedback. Feel free to open a PR or an issue with a proof of concept and we'll do our best to include it in a future release.
About LaunchDarkly
- LaunchDarkly is a continuous delivery platform that provides feature flags as a service and allows developers to iterate quickly and safely. We allow you to easily flag your features and manage them from the LaunchDarkly dashboard. With LaunchDarkly, you can:
- Roll out a new feature to a subset of your users (like a group of users who opt-in to a beta tester group), gathering feedback and bug reports from real-world use cases.
- Gradually roll out a feature to an increasing percentage of users, and track the effect that the feature has on key metrics (for instance, how likely is a user to complete a purchase if they have feature A versus feature B?).
- Turn off a feature that you realize is causing performance problems in production, without needing to re-deploy, or even restart the application with a changed configuration file.
- Grant access to certain features based on user attributes, like payment plan (eg: users on the ‘gold’ plan get access to more features than users in the ‘silver’ plan).
- Disable parts of your application to facilitate maintenance, without taking everything offline.
- LaunchDarkly provides feature flag SDKs for a wide variety of languages and technologies. Read our documentation for a complete list.
- Explore LaunchDarkly
- Sign up for a free LaunchDarkly account
- launchdarkly.com for more information
- launchdarkly.com/docs for our documentation and SDK reference guides
- launchdarkly.com/docs/api for our API documentation
- blog.launchdarkly.com for the latest product updates
LaunchDarkly MCP Fragen
Wie füge ich LaunchDarkly MCP zu Claude Code hinzu?
Führe claude mcp add mcp-server -- npx -y @launchdarkly/mcp-server in deinem Terminal aus. Füge --scope user hinzu, damit der Server in jedem Projekt verfügbar ist.
Wie füge ich LaunchDarkly MCP zu Cursor hinzu?
Öffne ~/.cursor/mcp.json und füge den Server unter mcpServers hinzu, mit der Cursor-Config aus dem Installationsabschnitt oben.
Wann sollte ich den lokalen MCP server anstelle der hosted Version verwenden?
Du solltest den lokalen Server verwenden, wenn du LaunchDarkly EU- oder Federal-Instanzen nutzt, da diese das hosted MCP noch nicht unterstützen.