LaunchDarkly MCP Server for Mastra AI 9 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect LaunchDarkly through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"launchdarkly": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "LaunchDarkly Agent",
instructions:
"You help users interact with LaunchDarkly " +
"using 9 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with LaunchDarkly?"
);
console.log(result.text);
}
main();
* 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.
Mastra's agent abstraction provides a clean separation between LLM logic and LaunchDarkly tool infrastructure. Connect 9 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
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 Mastra AI 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 Mastra AI via MCP
Follow these steps to integrate the LaunchDarkly MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 9 tools from LaunchDarkly via MCP
Why Use Mastra AI with the LaunchDarkly MCP Server
Mastra AI provides unique advantages when paired with LaunchDarkly through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add LaunchDarkly without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every LaunchDarkly tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
LaunchDarkly + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the LaunchDarkly MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query LaunchDarkly, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed LaunchDarkly as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query LaunchDarkly on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using LaunchDarkly tools alongside other MCP servers
LaunchDarkly MCP Tools for Mastra AI (9)
These 9 tools become available when you connect LaunchDarkly to Mastra AI 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 Mastra AI
Ready-to-use prompts you can give your Mastra AI 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 Mastra AI
Common issues when connecting LaunchDarkly to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpLaunchDarkly + Mastra AI FAQ
Common questions about integrating LaunchDarkly MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect LaunchDarkly with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect LaunchDarkly to Mastra AI
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.