How do I authenticate?

Generate a valid API access token inside your LaunchDarkly Authorization Settings and attach it.

Can I toggle flags in Production directly?

Yes! Due to the direct integration, whatever environments the API token has rights to, the agent can configure.

Do I need to re-sync manual changes?

No, the agent fetches live configuration directly from the provider in real-time each run.

LaunchDarkly MCP Server for Google ADK 9 tools — connect in under 2 minutes

Name: LaunchDarkly
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 9 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add LaunchDarkly as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

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Vinkius supports streamable HTTP and SSE.

python

from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="launchdarkly_agent",
    instruction=(
        "You help users interact with LaunchDarkly "
        "using 9 available tools."
    ),
    tools=[mcp_tools],
)

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About LaunchDarkly MCP Server

Connect your LaunchDarkly platform to any AI agent to monitor experiments and toggle feature flags without breaking your flow.

Google ADK natively supports LaunchDarkly as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 9 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

What you can do

Flag Management: List existing configurations and inspect deployment flags.
Environment Variables: Map contexts directly from your active workspaces.
Experiments: Safely inspect tracking parameters and current user engagement strategies.

The LaunchDarkly MCP Server exposes 9 tools through the Vinkius. Connect it to Google ADK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect LaunchDarkly to Google ADK via MCP

Follow these steps to integrate the LaunchDarkly MCP Server with Google ADK.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 9 tools from LaunchDarkly via MCP

Why Use Google ADK with the LaunchDarkly MCP Server

Google ADK provides unique advantages when paired with LaunchDarkly through the Model Context Protocol.

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with LaunchDarkly

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

Seamless integration with Google Cloud services means you can combine LaunchDarkly tools with BigQuery, Vertex AI, and Cloud Functions

LaunchDarkly + Google ADK Use Cases

Practical scenarios where Google ADK combined with the LaunchDarkly MCP Server delivers measurable value.

Enterprise data agents: ADK agents query LaunchDarkly and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine LaunchDarkly tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query LaunchDarkly regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including LaunchDarkly

LaunchDarkly MCP Tools for Google ADK (9)

These 9 tools become available when you connect LaunchDarkly to Google ADK via MCP:

get_environment

Get details regarding an environment

get_feature_flag

Get in-depth specifics for a feature flag

get_metric

Get details for a specific metric

get_project

Get details for a specific project

list_audit_logs

Retrieve audit log entries for the account

list_environments

g. Test, Production). Retrieve all environments within a project

list_feature_flags

Retrieve feature flags within a project

list_metrics

Retrieve experimentation metrics within a project

list_projects

Retrieve a list of LaunchDarkly projects

Example Prompts for LaunchDarkly in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with LaunchDarkly immediately.

"Check if the newly implemented dark mode feature flag is switched on in Production."

"Turn off the experimental flag targeting our staging environment immediately."

"List all active environments linked to our main workspace project."

Troubleshooting LaunchDarkly MCP Server with Google ADK

Common issues when connecting LaunchDarkly to Google ADK through the Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

LaunchDarkly + Google ADK FAQ

Common questions about integrating LaunchDarkly MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.