¿En qué se diferencia de conectar LaunchDarkly MCP directamente?

Conectado directamente, un agente ve todas las herramientas que expone el servidor y guarda él mismo la credencial. A través de TrustGate tú eliges qué herramientas recibe cada agente, y cada llamada queda registrada a nombre del agente que la hizo.

¿Qué pasa si cambia la API de LaunchDarkly MCP?

Seguimos el esquema de LaunchDarkly MCP, así que el catálogo de herramientas se mantiene al día. Las herramientas que ya habías permitido siguen funcionando, y cualquier novedad queda denegada hasta que la actives.

¿Puedo dar herramientas de LaunchDarkly distintas a cada agente?

Sí. El acceso se define por agente: uno puede recibir unas pocas herramientas de lectura y otro el conjunto completo. Concedes el MCP entero o herramientas sueltas dentro de él.

¿Dónde veo lo que han hecho mis agentes en LaunchDarkly?

Cada llamada queda registrada a nombre del agente que la hizo, junto con la herramienta que usó. La actividad puede enviarse a tu propio sistema de monitorización.

¿Tengo que alojar yo el servidor de LaunchDarkly MCP?

No. TrustGate se conecta al servidor de LaunchDarkly MCP y se sitúa delante de él. Tu agente solo habla con tu URL de TrustGate, nunca directamente con LaunchDarkly.

Conecta LaunchDarkly MCP a tus agentes de IA, de forma segura.

Q: ¿Es seguro LaunchDarkly MCP?

El servidor expone 170 herramientas y algunas pueden escribir en tu cuenta de LaunchDarkly. Detrás de TrustGate, un agente solo ve las herramientas que tú permites, las peticiones y respuestas se inspeccionan y cada llamada queda registrada. Todo lo que esté fuera de la lista permitida se deniega antes de llegar a LaunchDarkly.

Un único endpoint seguro para cada llamada a LaunchDarkly que hacen tus agentes de IA: acotada por usuario, inspeccionada y registrada.

Empieza gratis

Solicita una demo

Prueba LaunchDarkly MCP ahora

Lo que pueden pedir tus agentes una vez conectado LaunchDarkly MCP.

Elige las herramientas que pueden usar tus agentes de IA

170 herramientas del esquema de LaunchDarkly MCP.

Mostrando 170 herramientas

delete-flaghigh riskDeletes a feature flag from a project.
archive-flaghigh riskArchive a feature flag (reversible). This is a soft-delete that can be undone.
copy-flag-confighigh riskCopy a flag's targeting configuration from one environment to another.
toggle-flaghigh riskTurns a flag's targeting on or off in a specific environment. This takes effect immediately.
update-flag-settingswriteUpdate a flag's top-level settings: name, description, tags, temporary/permanent status, maintainer, default variations, or custom properties.
create-flagwriteCreates a new feature flag in a project.
get-flagreadGets the detailed configuration of a single flag, scoped to a specific environment.
list-flagsreadSearches and browses the feature flags in a project, with filtering.
match-release-policiesreadResolve which release policies would govern a flag in a given environment — a read-only dry-run of the server-side policy matching logic.
create-automated-rollout-configwriteRecord an automated rollout config in LaunchDarkly for a feature-flagged change.
stop-guarded-rollouthigh riskStop an active guarded rollout on a flag's default rule (fallthrough).
start-guarded-rolloutwriteStart a guarded rollout on a flag's default rule (fallthrough).
list-release-policiesreadList release policies for a project.
manage-expiring-targetshigh riskList, add, update, or remove expiring targets on a flag.
update-prerequisiteshigh riskAdd or remove prerequisites for a flag in a specific environment.
update-individual-targetshigh riskAdd or remove specific users or contexts from individual flag targeting.
update-targeting-ruleshigh riskAdd, remove, or modify custom targeting rules for a flag in an environment.
update-off-variationhigh riskSet the variation a flag serves when its targeting is OFF, in one environment (env), several (envs), or every environment (allEnvs).
update-rollouthigh riskChange the default rule (fallthrough) for a flag.
get-flag-unique-context-exposuresreadGet unique-context exposure counts (distinct-context cardinality) for a flag in an environment.
check-flag-rollout-completereadCheck whether a feature flag is fully rolled out to a single deterministic variation across all traffic-bearing environments.
query-flag-evaluationsreadQuery flag evaluations for a session. Retrieve flag evaluation events for a specific session to understand which feature flags were evaluated during that session.
get-flag-status-across-envsreadChecks a flag's lifecycle status across all environments in a project.
get-flag-healthreadGet combined health view for a single flag: lifecycle state, last-requested timestamp, targeting summary (rules count, targets count, on/off), age, and whether it's temporary.
check-removal-readinessreadRuns a safety check before removing a flag: dependencies, code references, active targeting and expiring rules.
find-stale-flagsreadFinds flags that are candidates for cleanup, sorted by staleness.
update-segment-targetshigh riskAdd or remove individual context keys from a segment's included or excluded lists.
update-segment-ruleshigh riskAdd, remove, or modify attribute-based targeting rules on a segment.
get-segmentreadGets a segment with its rules and membership.
create-segmentwriteCreates a reusable segment of contexts that flags can target.
list-segmentsreadLists the segments in a project and environment.
list-projectsreadLists the projects in the LaunchDarkly account.
get-sdk-activereadCheck whether any SDKs have been active in a given environment.
get-environmentreadGet a LaunchDarkly environment's client-side ID and mobile key.
get-projectreadGets a project with its environments and SDK keys.
create-projectwriteCreate a new LaunchDarkly project. Returns the project with its environments, including each environment's client-side ID and mobile key.
get-experiment-metric-resultsreadGet detailed statistical results for a single metric on an experiment iteration.
get-experiment-resultsreadGet an overall results summary for an experiment, across every metric on the current iteration.
stop-experiment-iterationhigh riskStop the currently running iteration of an experiment.
save-and-start-experiment-iterationhigh riskStop the current running iteration, create a new draft iteration with the provided field updates applied, and start it.
start-experiment-iterationhigh riskStart an experiment iteration. This begins data collection for the experiment's current draft iteration and starts allocating live end-user traffic across its treatments.
update-experimenthigh riskUpdate fields on an experiment or its current iteration.
create-experimentwriteCreate a new experiment on a flag or AgentControl Config.
get-experimentreadGet detailed information about a specific experiment, including its treatments, metrics, and current iteration status.
list-experimentsreadList experiments in a project, optionally filtered by environment.
list-metric-eventsreadList recent event keys received by a LaunchDarkly project — used to check which events are actively flowing before creating a metric.
create-metricwriteCreate a new metric in a LaunchDarkly project.
get-metricreadGet full details for a single LaunchDarkly metric: measureType, eventKey, successCriteria, unit, description, tags, creation date, and attached flag count.
list-metricsreadList metrics in a LaunchDarkly project. Returns key, name, measureType (count/occurrence/value), eventKey, successCriteria, tags, and how many flags each metric is attached to.
query-change-historyreadQuery the audit log to find what changed in a LaunchDarkly account.
apply-approval-requesthigh riskApply an already-approved flag or segment approval request.
list-approval-requestsreadList approval requests for a flag or a segment in an environment.
create-approval-requestwriteCreate an approval request for a flag or segment change in an environment that requires approvals.
unrestrict-agentcontrol-model-configshigh riskRemove AI model configs from the restricted list so that variations can select them again.
restrict-agentcontrol-model-configshigh riskRestrict AI model configs so that variations cannot select them.
delete-agentcontrol-model-confighigh riskPermanently delete a custom AI model config.
update-agentcontrol-model-configwriteUpdate a custom AI model config. modelConfigKey is the key from list-agentcontrol-model-configs (for example OpenAI.gpt-image-2), not the id.
create-agentcontrol-model-configwriteCreate a custom AI model config for a model that is not in the global catalog.
get-agentcontrol-model-configreadGet one AI model config. modelConfigKey is the key from list-agentcontrol-model-configs (for example OpenAI.gpt-4o), not the id.
list-agentcontrol-model-configsreadList the AI model configs in a project: global catalog models (global=true) and custom models (global=false).
list-agent-skill-referencesreadList the AgentControl Config variations that attach an agent skill, with the skill version each one is pinned to.
list-agent-skill-versionsreadList the versions of an agent skill, newest first. Returns each version's number, name, description, tags, and creation time.
delete-agent-skillhigh riskPermanently delete an agent skill and all of its versions.
update-agent-skillwriteUpdate an agent skill's markdown, name, description, tags, or maintainer.
create-agent-skillwriteCreate an agent skill from SKILL.md content.
get-agent-skillreadGet the latest version of an agent skill by key, including its full SKILL.md markdown, name, description, tags, and version number.
list-agent-skillsreadList agent skills in a project.
list-ai-tool-versionsreadList the versions of one AI tool in a project, newest first.
delete-prompt-snippethigh riskPermanently delete a prompt snippet.
update-prompt-snippetwriteUpdate an existing prompt snippet. Creates a new version of the snippet.
create-prompt-snippetwriteCreate a new prompt snippet. A snippet is a reusable text block that can be referenced in AgentControl Config variation prompts using {{snippet-key}} syntax.
get-prompt-snippetreadGet a specific prompt snippet by key. Returns the snippet's name, text content, tags, version, and creation time.
list-prompt-snippetsreadList prompt snippets in a project. Prompt snippets are reusable text blocks that can be referenced inside AgentControl Config variation prompts to keep common instructions consistent.
delete-ai-toolhigh riskPermanently delete an AI tool definition.
update-ai-toolwriteUpdate an AI tool definition's description, schema, tags, or customParameters.
toggle-agentcontrol-confighigh riskNot supported: always fails with 400. AgentControl Config targeting cannot be toggled; the API rejects turnFlagOn/turnFlagOff.
preview-graphreadPreview a chart/graph inline WITHOUT saving it to a dashboard.
create-graphwriteAdd a chart/graph to an existing dashboard.
delete-agent-graphhigh riskPermanently delete an agent graph and all of its edges.
update-agent-graphhigh riskUpdate an agent graph's metadata or structure.
create-agent-graphwriteCreate a new agent graph in a project. An agent graph defines a directed graph of AgentControl Configs for multi-agent workflows.
get-agent-graphreadGet a specific agent graph by key, including its full edge structure.
list-agent-graphsreadList all agent graphs in a project. Returns metadata for each graph including key, name, description, and root config key.
create-ai-toolwriteCreate a new AI tool definition in a project.
get-ai-toolreadGet a single AI tool definition including its full schema, version, tags, and customParameters.
list-ai-toolsreadList AI tool definitions in a project. Returns each tool's key, description, schema, version, tags, and customParameters.
update-agentcontrol-config-targetshigh riskAdd or remove specific contexts in AgentControl Config individual targeting in one environment.
update-agentcontrol-config-rollouthigh riskSet the default (fallthrough) rule for an AgentControl Config in one environment.
update-agentcontrol-config-targetinghigh riskChange custom targeting rules for an AgentControl Config in one environment.
get-agentcontrol-config-targetingreadRead the targeting configuration for an AgentControl Config in a specific environment.
clone-agentcontrol-config-variationwriteCopy an existing variation. Use update-agentcontrol-config-variation to change it in place.
delete-agentcontrol-config-variationhigh riskPermanently delete an AgentControl Config variation.
update-agentcontrol-config-variationhigh riskUpdate variation. Requires projectKey, configKey, variationKey, and a change.
create-agentcontrol-config-variationwriteCreate a variation in an existing config from create-agentcontrol-config.
get-agentcontrol-config-healthreadHealth check for an AgentControl Config.
get-agentcontrol-config-status-envsreadCheck an AgentControl Config's lifecycle status across all environments.
setup-agentcontrol-configwriteCreate an AgentControl Config and its first variation in one step, then verify it.
delete-agentcontrol-confighigh riskPermanently delete an AgentControl Config.
update-agentcontrol-configwriteUpdate an AgentControl Config's name, description, tags, default variation, judge metric, judge success direction (isInverted), or maintainer.
create-agentcontrol-configwriteCreate an AgentControl Config shell in a project.
get-agentcontrol-configreadRead config. Requires projectKey, configKey. Find configKey with list-agentcontrol-configs.
list-agentcontrol-configsreadSearch AgentControl Configs in a project.
apply-agentcontrol-config-approvalhigh riskApply an already-approved AgentControl Config approval request.
list-agentcontrol-config-approvalsreadList approval requests for an AgentControl Config.
create-agentcontrol-config-approvalwriteCreate an approval request for an AgentControl Config change.
update-playgroundwriteUpdate an LLM playground's name, variants, or archived status.
create-playgroundwriteCreate a new LLM playground. A playground lets you compare AgentControl Config variations side-by-side.
get-playgroundreadGet details about a specific LLM playground, including its variants (evaluation definitions and their positions).
list-playgroundsreadList LLM playgrounds in a project. Returns playground names, variant counts, and timestamps.
get-evaluation-run-summaryreadGet the progress and results of an evaluation run.
run-evaluationwriteStart a run of an AI evaluation. evaluationId comes from create-evaluation or list-evaluations, and the evaluation must use only deepeval criteria.
create-evaluationwriteCreate an AI evaluation: a saved prompt, a generation model, and scoring criteria.
get-evaluationreadGet one AI evaluation by evaluationId (from list-evaluations or create-evaluation).
list-evaluationsreadList AI evaluations in a project with id, version, name, models, messages, criteria, and totalCount.
delete-datasethigh riskPermanently delete an offline dataset and its associated metadata.
create-datasetwriteCreate an offline dataset for AI evaluation.
get-datasetreadGet one offline dataset by id with key, name, filename, format, status, rowCount, and createdAt.
list-datasetsreadList offline datasets in a project with id, key, name, filename, format, status (pending, ready, or failed), rowCount, and createdAt.
get-session-timestamp-event-chunk-urlreadGet a signed download URL for the rrweb event chunk covering a specific timestamp within a session.
get-session-event-chunk-urlreadGet a signed download URL for one rrweb event chunk of a session.
get-session-event-chunksreadList the rrweb event chunks recorded for a session.
query-service-mapreadQuery the service dependency map (service map) for a project.
get-service-connections-usagereadGet a time series of service connection minutes from your LaunchDarkly account.
query-timeline-eventsreadQuery timeline indicator events for a session.
query-sessionsreadQuery project sessions. Retrieve sessions for a given project with explicit date range parameters.
query-error-groupsreadQuery project error groups. Retrieve error groups for a given project with explicit date range parameters.
query-aggregationsreadRetrieve bucketed, aggregated values over time for a product type.
query-tracesreadQuery project traces. Retrieve traces for a given project with explicit date range parameters.
query-logsreadQuery project logs. Retrieve logs for a given project with explicit date range parameters.
get-resource-viewsreadList the views a flag, segment, or AgentControl Config is linked to.
list-view-resourcesreadList the resources of one type linked to a view.
link-view-resourceswriteLink flags, segments, or AgentControl Configs to a view.
update-viewwriteUpdate a view's name, description, maintainer, or tags.
create-viewwriteCreate a new view in a project. Views are an Enterprise feature.
get-viewreadGet a single view by key. Views are an Enterprise feature. Returns name, description, tags, maintainer, and linked-resource counts (flags, segments, AgentControl Configs).
list-viewsreadList views in a project. Views are an Enterprise feature. Returns a paginated list with key, name, description, tags, maintainer, and (when includeResourceSummary is set) linked-resource counts.
delete-alerthigh riskPermanently delete an observability alert.
toggle-alerthigh riskEnable or disable an observability alert without changing its configuration.
update-alerthigh riskUpdate an existing observability alert. Only the fields you provide are changed; everything else is preserved.
create-alertwriteCreate a new observability alert that fires when a metric crosses a threshold.
get-alert-firing-historyreadShow when an alert actually fired, and what state it is in now.
get-alertreadGet detailed information about a specific observability alert.
list-alertsreadList existing observability alerts for the project.
delete-dashboardhigh riskPermanently delete a dashboard (visualization) and all of its graphs.
get-keysreadDiscover available data keys/dimensions for a product type.
create-dashboardwriteCreate a new empty dashboard (visualization) for organizing charts.
get-dashboardreadGet detailed information about a specific dashboard including all its graphs.
list-dashboardsreadList existing dashboards (visualizations) for the project.
delete-factory-repo-settingshigh riskDeprecated: use delete-release-autopilot-repo-settings instead.
update-factory-repo-settingshigh riskDeprecated: use update-release-autopilot-repo-settings instead.
get-factory-repo-settingsreadDeprecated: use get-release-autopilot-repo-settings instead.
list-factory-github-reposreadDeprecated: use list-release-autopilot-github-repos instead.
list-factory-repo-settingsreadDeprecated: use list-release-autopilot-repo-settings instead.
update-factory-settingshigh riskDeprecated: use update-release-autopilot-settings instead.
get-factory-settingsreadDeprecated: use get-release-autopilot-settings instead.
delete-release-autopilot-repo-settingshigh riskUnmap a GitHub repository from Release Autopilot settings (removes project mapping and overrides).
update-release-autopilot-repo-settingshigh riskMap a GitHub repository to a LaunchDarkly project and optionally override auto-flagging or auto-releasing.
get-release-autopilot-repo-settingsreadGet Release Autopilot settings for one GitHub repository (effective auto-flagging / auto-releasing).
list-release-autopilot-github-reposreadList GitHub repositories on this account's LaunchDarkly GitHub App install, with display name (usually owner/name) and numeric githubRepoId.
list-release-autopilot-repo-settingsreadList Release Autopilot settings for GitHub repositories already mapped to a LaunchDarkly project.
update-release-autopilot-settingshigh riskUpdate account-wide Release Autopilot settings (auto-flagging and auto-releasing).
get-release-autopilot-settingsreadGet account-wide Release Autopilot settings: whether auto-flagging and auto-releasing are on, and whether auto-flagging pull requests need approval.
ventwriteReport a missing capability, bug, parameter gap, or unclear error encountered while using LaunchDarkly MCP tools.
get-docreadFetch the full markdown content of a LaunchDarkly documentation page.
search-docsreadSearch LaunchDarkly documentation to retrieve authoritative reference material for flags, targeting rules, experiments, segments, AgentControl configs, SDKs, API fields, rollouts, metrics, and more.
get-context-instancesreadGet all stored instances of a specific context by kind and key.
search-contextsreadSearch for stored LaunchDarkly contexts in an environment by kind, key, or attribute value.
invite-membershigh riskInvite one or more people to the LaunchDarkly account by email.
find-membersreadSearch for LaunchDarkly account members and return their IDs.
get-member-selfreadReturn the member ID, profile, and team memberships for the currently authenticated user.

Qué expone LaunchDarkly MCP

LaunchDarkly MCP agrupa sus 170 herramientas en 14 categorías, cada una con una política inicial sugerida.

Las 170 herramientas en JSON, listas para pegar.

Categoría	Incluye	Acceso	Política sugerida
Flags	Listado, detalle, creación, ajustes, activación, copia de configuración, archivado y borrado	Lectura / Escritura	Exige aprobación para cada escritura; un cambio altera producción al instante
Segmentación y despliegues	Reglas de segmentación, objetivos individuales, prerrequisitos, variación off, despliegues porcentuales, automatizados y protegidos, objetivos con caducidad y políticas de release	Lectura / Escritura	Exige aprobación; los cambios de segmentación alteran producción al instante
Estado de flags	Estado en todos los entornos, salud de los flags, finalización de despliegues, exposiciones de contextos y datos de evaluación	Lectura	Permite las comprobaciones de solo lectura
Ciclo de vida	Detección de flags obsoletos y comprobación previa al borrado	Lectura	Ejecuta la comprobación antes de cualquier eliminación
Segmentos	Listado, detalle, creación y actualización de reglas y objetivos de segmentos	Lectura / Escritura	Los cambios alteran quién ve una funcionalidad; audítalos
Proyectos y entornos	Listado, detalle y creación de proyectos, entornos y actividad de SDK	Lectura / Escritura	La lectura de proyectos y entornos puede devolver claves SDK; trátalas como credenciales
Experimentos y métricas	Experimentos, sus iteraciones y resultados, y métricas y eventos de métricas	Lectura / Escritura	Aprueba iniciar o detener iteraciones; los resultados alimentan decisiones de release
Aprobaciones e historial	Solicitudes de aprobación de flags, aplicación de cambios aprobados e historial de cambios	Lectura / Escritura	Deja la aplicación de aprobaciones en manos de una persona
AgentControl	Configs de AgentControl, variaciones, segmentación, despliegues y aprobaciones, configuraciones de modelos, fragmentos de prompt, herramientas de IA, grafos de agentes y skills de agentes	Lectura / Escritura	Exige aprobación para cambios de configs, segmentación y modelos; alteran el comportamiento de la IA en producción
Evaluaciones de IA	Playgrounds, evaluaciones y sus ejecuciones, y datasets de evaluación	Lectura / Escritura	Permite en proyectos no productivos; los datasets pueden contener datos de usuarios
Observabilidad	Consulta de logs, trazas, grupos de errores, sesiones, eventos de la línea de tiempo, agregaciones, mapa de servicios y uso de conexiones	Lectura	Los logs y las sesiones pueden contener datos personales; limita a agentes de investigación
Alertas y dashboards	Alertas de observabilidad y su historial, dashboards, claves de datos y vistas	Lectura / Escritura	Audita los cambios de alertas; una alerta silenciada oculta incidentes
Release Autopilot	Ajustes de Release Autopilot de la cuenta y asignación de repositorios de GitHub, incluidas las herramientas factory obsoletas	Lectura / Escritura	Aprueba los cambios de ajustes; controlan el flagging y el release automáticos
Cuenta, contextos y documentación	Búsqueda e invitación de miembros, contextos y sus instancias, búsqueda en la documentación y feedback sobre las herramientas	Lectura / Escritura	Exige aprobación para las invitaciones; conceden acceso a la cuenta

Conecta LaunchDarkly MCP a tu agente de IA

Cuatro pasos, menos de diez minutos.

01
Inicia sesión en NeuralTrust
Abre la plataforma de NeuralTrust, inicia sesión y ve a Getting started, después a Connect your tools.
02
Elige tu agente
Cuando te pregunte qué agente usas, elige Claude Code, Codex, Cursor, Windsurf, Copilot o tu propio código.
03
Conecta LaunchDarkly
Busca LaunchDarkly en la lista de herramientas y conéctalo.
04
Conecta tu agente
Sigue los pasos en pantalla para añadir la configuración a tu agente y envía el prompt de prueba.

Permisos hasta la herramienta individual

No permites ni bloqueas LaunchDarkly MCP entero. Permites exactamente las herramientas que puede llamar cada agente, una a una.

LaunchDarkly MCP	170 HERRAMIENTAS DISPONIBLES
Agente de revisión de código	4 herramientas, solo lectura
Bot de triaje de incidencias	9 herramientas
Asistente del equipo de plataforma	las 170 herramientas

Herramienta por herramientaConectar el servidor no es la unidad de acceso. Cada herramienta se concede por separado.
Denegado por defectoUna herramienta que no has activado nunca se expone al agente.
Aprobación en las escriturasLas herramientas que modifican o borran pueden exigir la confirmación de una persona.

¿Es seguro LaunchDarkly MCP?

Un endpoint en lugar de credenciales en claro. Cada llamada se comprueba contra la política y queda registrada.

Agentes de IASe conectan desde la configuración de tu cliente MCP.	NeuralTrustSe aplican los controles según tu configuración.	LaunchDarkly MCP170 herramientas documentadas.
Asistentes de código	Conexión y credencialespor usuario	AgentControl52 herramientas
Copilotos internos	Políticas de acceso a herramientasdenegado por defecto	Alertas y dashboards19 herramientas
Automatizaciones de flujos	Inspección de peticiones y respuestasen línea	Release Autopilot14 herramientas
Clientes MCP compatibles	Monitorización de actividadalertas y registros	Resto de herramientas85 herramientas