LaunchDarkly MCP Server for VS Code Copilot 9 tools — connect in under 2 minutes
GitHub Copilot in VS Code is the most widely adopted AI coding assistant, embedded directly into the world's most popular code editor. With MCP support in Agent mode, Copilot can access external data and APIs to generate context-aware code grounded in real-time information.
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{
"mcpServers": {
"launchdarkly": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}
* 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.
GitHub Copilot Agent mode brings LaunchDarkly data directly into your VS Code workflow. With a project-scoped config, the entire team shares access to 9 tools. Copilot queries live data, generates typed code, and writes tests from actual API responses, all without leaving the editor.
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 VS Code Copilot 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 VS Code Copilot via MCP
Follow these steps to integrate the LaunchDarkly MCP Server with VS Code Copilot.
Create MCP config
Create a .vscode/mcp.json file in your project root
Add the server config
Paste the JSON configuration above
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
Start using LaunchDarkly
Ask Copilot: "Using LaunchDarkly, help me...". 9 tools available
Why Use VS Code Copilot with the LaunchDarkly MCP Server
GitHub Copilot for Visual Studio Code provides unique advantages when paired with LaunchDarkly through the Model Context Protocol.
VS Code is used by over 70% of developers. adding MCP tools to Copilot means your team can leverage external data without leaving their primary editor
Project-scoped MCP configs (`.vscode/mcp.json`) let you commit server configurations to your repository, ensuring the entire team shares the same tool access
Copilot's Agent mode integrates MCP tools seamlessly with file editing, terminal commands, and workspace search in a single agentic loop
GitHub's enterprise compliance and audit features extend to MCP tool usage, providing visibility into how AI interacts with external services
LaunchDarkly + VS Code Copilot Use Cases
Practical scenarios where VS Code Copilot combined with the LaunchDarkly MCP Server delivers measurable value.
Live API integration: Copilot can query an MCP server, inspect the response schema, and generate typed API client code in the same step
DevSecOps workflows: security teams can give developers access to domain intelligence tools directly in their editor for real-time vulnerability assessment during code review
Data pipeline development: Copilot fetches sample data via MCP and generates transformation scripts, validators, and test fixtures from actual API responses
Documentation generation: Copilot queries available tools and auto-generates README sections, API reference docs, and usage examples
LaunchDarkly MCP Tools for VS Code Copilot (9)
These 9 tools become available when you connect LaunchDarkly to VS Code Copilot 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 VS Code Copilot
Ready-to-use prompts you can give your VS Code Copilot 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 VS Code Copilot
Common issues when connecting LaunchDarkly to VS Code Copilot through the Vinkius, and how to resolve them.
MCP tools not available
LaunchDarkly + VS Code Copilot FAQ
Common questions about integrating LaunchDarkly MCP Server with VS Code Copilot.
Which VS Code version supports MCP?
How do I switch to Agent mode?
Can I restrict which MCP tools Copilot can access?
Does MCP work in VS Code Remote or Codespaces?
.vscode/mcp.json work in Remote SSH, WSL, and GitHub Codespaces environments. The MCP connection is established from the remote host, so ensure the server URL is accessible from that environment.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 VS Code Copilot
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.