MCP: LaunchDarkly MCP Server
by LaunchDarkly
Local MCP server for LaunchDarkly — manage feature flags, AI Configs, environments, audit logs and code references from an agent.
Unleash's official MCP server for feature flags — and unusually, it first judges whether a change needs a flag at all before creating one.
Set up this MCP server in your favorite AI agent — copy a ready-made configuration below.
Most feature-flag integrations give an agent a create_flag call and leave the judgement to
the model, which is how codebases end up littered with flags nobody needed. Unleash's official MCP server is built
around the opposite instinct: the intended first call is evaluate_change, which scores the risk of a change and
recommends whether a flag is warranted at all. Only then does detect_flag check whether a suitable flag already
exists, so an agent reuses one instead of minting a near-duplicate.
From there the workflow is complete in both directions. create_flag creates a validated, properly typed flag;wrap_change explains how to wrap the code change around it; set_flag_rollout configures a rollout strategy
without enabling the flag, and toggle_flag_environment enables or disables it per environment — a separation that
matters, because "configured" and "live" are different states. get_flag_state surfaces a flag's metadata and
activation strategies, and list_flags and list_projects page through what exists. Crucially, cleanup_flag
generates instructions for safely removing flagged code paths, closing the loop that most teams leave open.
It runs locally over stdio from the @unleash/mcp npm package and talks to the Unleash Admin API, so it works
against both hosted and self-managed instances. Configuration needs UNLEASH_BASE_URL and a personal access token
in UNLEASH_PAT, with an optional UNLEASH_DEFAULT_PROJECT. The guidance it encodes comes from Unleash's own
documentation on using feature flags at scale.
by LaunchDarkly
Local MCP server for LaunchDarkly — manage feature flags, AI Configs, environments, audit logs and code references from an agent.
by robotmcp
Drive real robots from an AI assistant. Bridges MCP clients to ROS 1 and ROS 2 through rosbridge — publish topics, call services, send action goals and read sensors with no change to robot code.
by PortSwigger
PortSwigger's official Burp Suite extension exposing proxy history, Repeater and scanning to AI agents over MCP.
by Trigger.dev
Trigger.dev's official MCP server — trigger and monitor background jobs, deploy to any environment, and query runs with TRQL from your coding agent.