New Relic MCP server for observing AI coding assistants (Claude Code, Cursor, Copilot, etc.)
Inferido de los transportes que declara este listado (stdio). Que un cliente no aparezca aquí no significa que se haya descartado: simplemente Forge no puede confirmarlo.
NEW_RELIC_LICENSE_KEYClave de APIopcionalNew Relic ingest license key. Optional: without it Preflight runs local-only with the dashboard at localhost:7777.
Declarado por el autor en el registro oficial de MCP. Forge does not store, broker, or ever see these values — the config below is scaffolded with placeholders you fill in locally.
La verificación confirma la identidad del publicador (la propiedad del repo), no la seguridad del código. El análisis de seguridad cubre los CVE conocidos y los scripts de instalación sospechosos.
Leído del código que npm publica realmente, en el momento del análisis. El paquete nunca se ejecutó. Las herramientas registradas dinámicamente en tiempo de ejecución, o escondidas en código empaquetado o minificado, pueden pasarse por alto — así que esto es un mínimo de la superficie de herramientas, no un censo completo.
nr_observe_get_context_efficiencyGet context window efficiency metrics: unique vs. repeated file reads, repeated-read ratio, and top re-read files. A high ratio suggests the model is losing context.Get context window efficiency metrics: unique vs. repeated file reads, repeated-read ratio, and top re-read files. A high ratio suggests the model is losing context.
No se publicó ningún esquema de entrada para esta herramienta.
nr_observe_get_latency_percentilesGet p50/p95/p99 latency percentiles for tool calls, broken down by tool type. Use to identify which tools are slowest in the current session.Get p50/p95/p99 latency percentiles for tool calls, broken down by tool type. Use to identify which tools are slowest in the current session.
No se publicó ningún esquema de entrada para esta herramienta.
nr_observe_get_task_completion_rateGet task lifecycle metrics: completed task count, average task duration, and average tool calls per task.Get task lifecycle metrics: completed task count, average task duration, and average tool calls per task.
No se publicó ningún esquema de entrada para esta herramienta.
nr_observe_get_model_usageGet per-model usage statistics: request counts, token totals (input, output, thinking, cache read, cache creation), cost, and cost per million billed tokens. Identifies the most-used model, plus any PostModelSwitch events (deliberate /model changes, automatic fallbacks, or resume) recorded this ses…Get per-model usage statistics: request counts, token totals (input, output, thinking, cache read, cache creation), cost, and cost per million billed tokens. Identifies the most-used model, plus any PostModelSwitch events (deliberate /model changes, automatic fallbacks, or resume) recorded this ses…
No se publicó ningún esquema de entrada para esta herramienta.
nr_observe_get_context_trackingGet context window tracking: per-turn token growth, category breakdown (System/Tools/User/Assistant), fill percentage, and per-tool output contribution. Shows which tools consume the most context.Get context window tracking: per-turn token growth, category breakdown (System/Tools/User/Assistant), fill percentage, and per-tool output contribution. Shows which tools consume the most context.
No se publicó ningún esquema de entrada para esta herramienta.
nr_observe_report_tokensReport token usage for cost tracking. Call periodically to enable accurate cost metrics.Report token usage for cost tracking. Call periodically to enable accurate cost metrics.
No se publicó ningún esquema de entrada para esta herramienta.
nr_observe_get_cost_breakdownGet a breakdown of session costs by task, model, and efficiency metrics like cost per line of code. Cost figures are Preflight's own list-price estimate unless costRateMultiplier/dataResidencyPremium are configured for an org's contracted rate — see rate_multiplier_applied in the response.Get a breakdown of session costs by task, model, and efficiency metrics like cost per line of code. Cost figures are Preflight's own list-price estimate unless costRateMultiplier/dataResidencyPremium are configured for an org's contracted rate — see rate_multiplier_applied in the response.
No se publicó ningún esquema de entrada para esta herramienta.
nr_observe_get_budget_statusGet current AI spend vs. configured budget caps (session, daily, weekly). Returns remaining budget, % used, and any threshold alerts fired this session.Get current AI spend vs. configured budget caps (session, daily, weekly). Returns remaining budget, % used, and any threshold alerts fired this session.
No se publicó ningún esquema de entrada para esta herramienta.
nr_observe_get_cost_forecastProject AI spending forward based on current session rate. Returns forecast cost for end-of-day, end-of-week, and end-of-session (8h), with a confidence note.Project AI spending forward based on current session rate. Returns forecast cost for end-of-day, end-of-week, and end-of-session (8h), with a confidence note.
No se publicó ningún esquema de entrada para esta herramienta.
nr_observe_get_prompt_cache_healthGet prompt cache health: hit rate, savings, and a concrete recommendation for improving cache efficiency.Get prompt cache health: hit rate, savings, and a concrete recommendation for improving cache efficiency.
No se publicó ningún esquema de entrada para esta herramienta.
nr_observe_get_session_historyGet a list of past sessions with summary metrics (efficiency, cost, tool calls, outcome).Get a list of past sessions with summary metrics (efficiency, cost, tool calls, outcome).
No se publicó ningún esquema de entrada para esta herramienta.
nr_observe_get_weekly_summaryGet a weekly summary report with per-developer breakdown, cost, efficiency, and anti-pattern counts.Get a weekly summary report with per-developer breakdown, cost, efficiency, and anti-pattern counts.
No se publicó ningún esquema de entrada para esta herramienta.
nr_observe_get_trendsGet trend data for a metric over time: weekly efficiency, cost, task success rate, or tool call counts.Get trend data for a metric over time: weekly efficiency, cost, task success rate, or tool call counts.
No se publicó ningún esquema de entrada para esta herramienta.
nr_observe_get_collaboration_profileGet a developer's collaboration profile: specificity, autonomy, correction rate, task complexity, and classification.Get a developer's collaboration profile: specificity, autonomy, correction rate, task complexity, and classification.
No se publicó ningún esquema de entrada para esta herramienta.
nr_observe_get_claudemd_impactGet the impact report for the most recent change to the project's instruction fileGet the impact report for the most recent change to the project's instruction file
No se publicó ningún esquema de entrada para esta herramienta.
nr_observe_get_cost_per_outcomeGet cost breakdown by outcome type (bug fix, feature, refactor, etc.) with waste ratio and ROI estimate.Get cost breakdown by outcome type (bug fix, feature, refactor, etc.) with waste ratio and ROI estimate.
No se publicó ningún esquema de entrada para esta herramienta.
nr_observe_get_recommendationsGet personalized optimization recommendations covering cost, efficiency, prompt engineering, CLAUDE.md impact, and model selection.Get personalized optimization recommendations covering cost, efficiency, prompt engineering, CLAUDE.md impact, and model selection.
No se publicó ningún esquema de entrada para esta herramienta.
nr_observe_get_model_recommendationGet a data-driven model recommendation ranked by historical efficiency score, cost, and task success rate across past sessions, both overall and broken down by task outcome type (bug_fix, feature, refactor, investigation, configuration, documentation, failed_attempt).Get a data-driven model recommendation ranked by historical efficiency score, cost, and task success rate across past sessions, both overall and broken down by task outcome type (bug_fix, feature, refactor, investigation, configuration, documentation, failed_attempt).
No se publicó ningún esquema de entrada para esta herramienta.
nr_observe_get_platform_comparisonCompare AI coding assistant platforms side-by-side on a given metric: efficiency, cost, task_success, tool_calls, or error_rate.Compare AI coding assistant platforms side-by-side on a given metric: efficiency, cost, task_success, tool_calls, or error_rate.
No se publicó ningún esquema de entrada para esta herramienta.
nr_observe_get_team_summaryGet aggregated AI coding cost and efficiency metrics for all developers in the configured team, queried via New Relic NRQL. Requires teamId to be set in config.Get aggregated AI coding cost and efficiency metrics for all developers in the configured team, queried via New Relic NRQL. Requires teamId to be set in config.
No se publicó ningún esquema de entrada para esta herramienta.
nr_observe_subscribe_digestRegister a Slack webhook URL to receive weekly AI coding cost and efficiency summaries.Register a Slack webhook URL to receive weekly AI coding cost and efficiency summaries.
No se publicó ningún esquema de entrada para esta herramienta.
nr_observe_unsubscribe_digestRemove the registered Slack webhook for weekly digests.Remove the registered Slack webhook for weekly digests.
No se publicó ningún esquema de entrada para esta herramienta.
nr_observe_send_digestGenerate the current weekly AI coding summary and POST it to the configured Slack webhook immediately.Generate the current weekly AI coding summary and POST it to the configured Slack webhook immediately.
No se publicó ningún esquema de entrada para esta herramienta.
nr_observe_get_personal_insightsReturns a narrative coaching report comparing this week's personal AI coding metrics against your historical baseline.Returns a narrative coaching report comparing this week's personal AI coding metrics against your historical baseline.
No se publicó ningún esquema de entrada para esta herramienta.
nr_observe_get_retry_alertsGet thrashing/retry detection alerts: repeated failures or highly similar inputs within a sliding window. Identifies when the agent is stuck in a loop.Get thrashing/retry detection alerts: repeated failures or highly similar inputs within a sliding window. Identifies when the agent is stuck in a loop.
No se publicó ningún esquema de entrada para esta herramienta.
nr_observe_get_context_compositionGet per-turn token breakdown by category (system prompt, conversation history, tool results, injected files). Shows context window fill percentage and dominance alerts. LIMITATION: system_prompt and injected_file_content are always 0 -- the model API's aggregate usage counts have no breakdown by co…Get per-turn token breakdown by category (system prompt, conversation history, tool results, injected files). Shows context window fill percentage and dominance alerts. LIMITATION: system_prompt and injected_file_content are always 0 -- the model API's aggregate usage counts have no breakdown by co…
token breakdown by category (system prompt, conversation history, tool r…No se publicó ningún esquema de entrada para esta herramienta.
nr_observe_get_latency_decompositionGet latency decomposition: how much time is spent in LLM API calls vs tool execution vs overhead, with p50/p95 percentiles for each component.Get latency decomposition: how much time is spent in LLM API calls vs tool execution vs overhead, with p50/p95 percentiles for each component.
No se publicó ningún esquema de entrada para esta herramienta.
nr_observe_get_decision_treeGet decision branch analysis: reasoning and action extraction per turn for triggered branches (recovery, retry, delegation), with outcome tagging. Includes post-mortem of failure chains and longest failure streak. LIMITATION: the reasoning field is the model's own thinking/text output only when NEW…Get decision branch analysis: reasoning and action extraction per turn for triggered branches (recovery, retry, delegation), with outcome tagging. Includes post-mortem of failure chains and longest failure streak. LIMITATION: the reasoning field is the model's own thinking/text output only when NEW…
No se publicó ningún esquema de entrada para esta herramienta.
nr_observe_get_instruction_driftGet instruction/prompt drift analysis: tracks how the project's instruction file (CLAUDE.md,Get instruction/prompt drift analysis: tracks how the project's instruction file (CLAUDE.md,
No se publicó ningún esquema de entrada para esta herramienta.
nr_observe_get_tool_selection_scoreGet tool selection quality score: evaluates efficiency of tool usage by detecting redundant reads, repeated failures, and unused large outputs. Score 0-1 where 1 is perfect.Get tool selection quality score: evaluates efficiency of tool usage by detecting redundant reads, repeated failures, and unused large outputs. Score 0-1 where 1 is perfect.
No se publicó ningún esquema de entrada para esta herramienta.
nr_observe_get_quality_proxyGet quality proxy metrics: diff apply rate, test pass rate, backtrack count, self-correction count, and degradation detection over the session lifetime.Get quality proxy metrics: diff apply rate, test pass rate, backtrack count, self-correction count, and degradation detection over the session lifetime.
No se publicó ningún esquema de entrada para esta herramienta.
nr_observe_get_api_failuresSin descripción publicadaEsta herramienta no publicó ninguna descripción. Forge no se la inventa.
nr_observe_get_compute_wasteGet compute waste summary: total tokens wasted on retried tool calls and anti-pattern activity (stuck loops, redundant reads, thrashing). Includes per-pattern breakdown and a status assessment (clean / moderate / needs_attention).Get compute waste summary: total tokens wasted on retried tool calls and anti-pattern activity (stuck loops, redundant reads, thrashing). Includes per-pattern breakdown and a status assessment (clean / moderate / needs_attention).
No se publicó ningún esquema de entrada para esta herramienta.
nr_observe_report_tool_callReport a tool call event for observability. Use this to report non-MCP tool callsReport a tool call event for observability. Use this to report non-MCP tool calls
No se publicó ningún esquema de entrada para esta herramienta.
nr_observe_report_session_startReport that a new AI coding session has begun. Call this at the start of a sessionReport that a new AI coding session has begun. Call this at the start of a session
No se publicó ningún esquema de entrada para esta herramienta.
nr_observe_report_session_endReport that the current AI coding session has ended. Call this at the end of a sessionReport that the current AI coding session has ended. Call this at the end of a session
No se publicó ningún esquema de entrada para esta herramienta.
nr_observe_get_session_statsGet current session observability metrics: tool call counts, success rates, file access stats, and duration summaries.Get current session observability metrics: tool call counts, success rates, file access stats, and duration summaries.
No se publicó ningún esquema de entrada para esta herramienta.
nr_observe_healthCheck server health: version, uptime, session ID, and connection timestamp. Also reports whether telemetry event sends are succeeding. Use when the MCP connection feels stale or tools are behaving unexpectedly.Check server health: version, uptime, session ID, and connection timestamp. Also reports whether telemetry event sends are succeeding. Use when the MCP connection feels stale or tools are behaving unexpectedly.
No se publicó ningún esquema de entrada para esta herramienta.
nr_observe_get_configShow the current server configuration (sensitive fields masked): mode, developer, account, region, storage path, dashboard URL, and config file location. Use to diagnose misconfiguration without exposing credentials.Show the current server configuration (sensitive fields masked): mode, developer, account, region, storage path, dashboard URL, and config file location. Use to diagnose misconfiguration without exposing credentials.
No se publicó ningún esquema de entrada para esta herramienta.
nr_observe_get_session_timelineGet an ordered list of recent tool calls with timestamps, names, durations, and success/failure status.Get an ordered list of recent tool calls with timestamps, names, durations, and success/failure status.
No se publicó ningún esquema de entrada para esta herramienta.
39 de 40 herramientas publicaron una descripción.
Los nombres y descripciones de las herramientas los escribe el publicador y se muestran literalmente como texto inerte. Son las cadenas que un cliente MCP pasa al modelo, así que Forge las analiza en busca de patrones de inyección de prompts — cualquier hallazgo aparece junto al análisis de seguridad de arriba. «Privilegiada» es una coincidencia de palabra clave en el nombre de la herramienta, no una auditoría de lo que hace: un nombre inofensivo puede hacer cualquier cosa.
New Relic MCP server for observing AI coding assistants (Claude Code, Cursor, Copilot, etc.)
Los nombres enlazados abren el índice de Forge con todas las entradas que se observó que exponen esa herramienta. Ver todas las herramientas indexadas.
El rastreo se detuvo en el límite de 60 paquetes. El resto del árbol nunca se resolvió.
Hay 36 paquetes resueltos más que no se dibujan aquí (límite de visualización: 24). Toda dependencia con avisos de seguridad se dibuja aunque se supere el límite. Inventario completo (SBOM CycloneDX)
52 dependencias declaradas nunca llegaron al árbol. Faltan en la resolución de Forge, no en el paquete.
+40 más sin listar. Los recuentos por motivo de arriba las incluyen todas.
No se siguen: peerDependencies. Este árbol cubre solo dependencias en tiempo de ejecución, así que lo que estas arrastren nunca se resolvió.