LaunchDarkly MCP server

This topic describes how to get started with the LaunchDarkly Model Context Protocol (MCP) server.

Model context protocol (MCP) is an open protocol that lets you interact with REST APIs using natural language. LaunchDarkly provides three hosted MCP servers, each focused on a different product area: feature management for managing feature flags, AgentControl for managing configs and variations, and observability for querying logs, traces, errors, and dashboards. The APIs exposed by the MCP servers are called MCP tools.

Enable the MCP server

There are two options for enabling the LaunchDarkly MCP server:

• hosted MCP server
• local MCP server

We strongly recommend enabling the hosted MCP server.

Use the MCP server

After you enable the LaunchDarkly MCP server following one of the procedures above, you can prompt your agent to create or manage your flags, AgentControl configs, and observability data. Typically you need to click Run tool or similar in your AI client to execute the result.

For example, you could try asking

Create a feature flag called “example feature” in my default project

or

Turn the “example feature” flag ON in all environments

or

Update the targeting rules for “example feature” so it’s only enabled for users in Canada

or

Show me error groups from the last 24 hours

For additional examples of prompts and responses, read the tutorial Create a feature flag in your IDE in 5 minutes with LaunchDarkly’s MCP server.

Available MCP tools

The LaunchDarkly MCP server exposes a focused set of MCP tools for different product areas including feature management, AgentControl, observability, and metrics. For a full list, read the “Available Tools” section on the MCP server page.

You can also find the tools provided by the LaunchDarkly MCP server by reviewing the “Tools” list in your IDE:

To learn more about how the observability server relates to Vega for auto-remediation, read Observability MCP server.

Use agent skills with the MCP server

For complex, multi-step workflows, LaunchDarkly agent skills provide step-by-step procedures that guide the agent through the right sequence of tool calls.

Agent skills follow the agent skills open standard and work with any compatible editor such as Claude Code, Cursor, VS Code, Windsurf, and Codex.

Install agent skills

You can browse all LaunchDarkly agent skills at Vercel’s skills.sh.

To install agent skills:

$
npx skills add launchdarkly/agent-skills

How skills and MCP tools work together

Skills help AI agents facilitate common workflows, while MCP tools give the agent direct access to manage and understand your LaunchDarkly resources.

Example: Flag cleanup workflow

When you tell an AI agent to “clean up the old-checkout flag,” the launchdarkly-flag-cleanup skill guides the agent through:

1. Discovery: the skill tells the agent to check flag status across all environments using the MCP server’s flag removal readiness tool
2. Assessment: the tool returns a structured readiness classification (safe/caution/not-ready) with evidence
3. Code references: the skill directs the agent to check where the flag appears in code
4. Action: if safe, the skill guides the agent to make the code change, hardcoding the winning variation and opening a pull request (PR)

Without the skill, the agent might call the right tools but in the wrong order, miss the code reference check, or skip the readiness assessment. The skill encodes best practices so the agent follows the same procedure every time.

Additional resources

For additional information on the LaunchDarkly MCP server, or to file issues for our team, visit the LaunchDarkly MCP server GitHub repository.