LaunchDarkly MCP server
Manage LaunchDarkly feature flags, AI configs, and rollouts via AI agents. Connect your AI agents to LaunchDarkly with enterprise-grade governance, observability, and control through MintMCP Gateway.
Tools included with LaunchDarkly MCP
get-code-references
Identifies which repositories have code references to a given flag, helping agents determine if they're operating on ...
get-flag-status-across-environments
Returns lifecycle status (new, active, inactive, launched) based on actual usage patterns, evaluation counts, and con...
list-feature-flags
Retrieves all feature flags within a project, including metadata and targeting rules. Enables AI agents to enumerate ...
create-feature-flag
Creates a new feature flag within a project. AI agents can use this operation to define feature toggles for controlle...
get-feature-flag
Fetches the full configuration for a specific feature flag, including environments, variations, and targeting rules. ...
update-feature-flag
Updates the configuration of an existing feature flag. Enables agents to change targeting rules, modify variations, o...
delete-feature-flag
Removes a feature flag from the project. Used by AI agents to clean up deprecated toggles that are no longer in use, ...
get-environments
Identifies which environments exist in a project and determines which are marked as "critical" (production, staging...
get-ai-config-targeting
Retrieves the targeting details of a specific AI Config, including individual targets, rules, and rollouts.
update-ai-config-targeting
Updates the targeting of an existing AI Config.
list-ai-configs
Retrieves AI configuration settings for a specific project. This endpoint allows agents to access and modify AI-relat...
create-ai-config
Creates a new AI Config within a project. Useful for setting up LLM configurations programmatically.
delete-ai-config
Deletes an AI Config and its associated variations. Intended for cleanup or deprecation workflows.
get-ai-config
Retrieves details of a specific AI Config, including variations and model settings.
update-ai-config
Updates metadata or configuration of an existing AI Config.
create-ai-config-variation
Adds a new variation to an AI Config, supporting experimentation or multi-model strategies.
delete-ai-config-variation
Deletes an AI Config variation.
get-ai-config-variation
Retrieves an AI configuration variation.
update-ai-config-variation
Updates a specific variation within an AI Config. Enables fine-tuned control of model behavior.
Works with every major client
Why MintMCP gateway
Centralized governance
Unified authentication, audit logging, and rate control for all LaunchDarkly MCP connections.
One-click deployment
Instantly enable LaunchDarkly MCP for AI teams via MintMCP's standardized gateway without manual server setup.
OAuth + SSO enforcement
Automatic enterprise authentication wrapping for LaunchDarkly MCP endpoints.
Host stdio servers on MintMCP instead of running locally
Containerized servers become accessible to clients like ChatGPT without local installations. Better risk management and security posture without requiring users to run servers on their machines.
Observability and control
Real-time dashboards for monitoring usage, detecting anomalies, and maintaining SLA compliance.
Enterprise hardening
High availability, security, and compliance alignment transform MCP from developer utility to production-grade infrastructure.
Supports shared and per-user auth
Flexibility to configure service accounts at the admin level or enable individual OAuth flows. Secrets remain protected while users gain access, with centralized revocation capabilities.
Granular tool access control
Configure tool access by role. For example, enable read-only operations and exclude write tools like create and delete.
FAQs
Yes. MintMCP Gateway is SOC 2 compliant and uses OAuth-based authentication for all LaunchDarkly MCP interactions.