{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"npm_npm-auvhclimeter-mcp","slug":"npm-auvhclimeter-mcp","name":"@auvh/climeter-mcp","type":"mcp","url":"https://www.npmjs.com/package/@auvh/climeter-mcp","page_url":"https://unfragile.ai/npm-auvhclimeter-mcp","categories":["mcp-servers"],"tags":["mcp","billing","metering","model-context-protocol","climeter","usage-based"],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"npm_npm-auvhclimeter-mcp__cap_0","uri":"capability://tool.use.integration.mcp.tool.wrapping.with.transparent.metering.instrumentation","name":"mcp tool wrapping with transparent metering instrumentation","description":"Wraps arbitrary MCP server tools with metering middleware that intercepts tool invocations without modifying the underlying tool logic. Uses a decorator/proxy pattern to inject usage tracking at the MCP protocol boundary, capturing invocation metadata (tool name, input size, execution time, output tokens) before passing through to the original tool handler. Maintains full MCP protocol compatibility while adding observability hooks for billing calculations.","intents":["I need to track usage of my MCP tools without rewriting them","I want to meter specific tool calls for cost allocation across clients","I need to capture execution metrics for billing without changing my tool implementation"],"best_for":["MCP server operators building multi-tenant tool platforms","developers monetizing MCP tools via usage-based pricing","teams needing cost attribution per tool invocation"],"limitations":["Metering overhead adds latency to each tool invocation (exact overhead not documented)","No built-in persistence — metering data must be exported to external billing system","Limited to tools exposed via MCP protocol; cannot meter internal function calls","No real-time rate limiting or quota enforcement — only post-hoc metering"],"requires":["Node.js 16+ (typical MCP requirement)","Existing MCP server implementation","@modelcontextprotocol/sdk or compatible MCP runtime","npm or yarn package manager"],"input_types":["MCP tool definitions (schema + handler functions)","Tool invocation requests (MCP protocol format)"],"output_types":["Metered tool responses (pass-through with metadata)","Usage events (structured JSON with metrics)","Billing-ready usage logs"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-auvhclimeter-mcp__cap_1","uri":"capability://data.processing.analysis.usage.metric.extraction.and.aggregation.from.tool.invocations","name":"usage metric extraction and aggregation from tool invocations","description":"Automatically extracts structured usage metrics from each MCP tool invocation, including execution duration, input/output token counts (if applicable), tool name, and invocation timestamp. Aggregates metrics across multiple invocations into usage events that can be exported for billing. Supports custom metric extractors for tool-specific billing dimensions (e.g., API calls made by a tool, database queries executed).","intents":["I need to measure how much each tool costs to run based on execution time and tokens","I want to aggregate usage across multiple tool invocations for a single billing period","I need custom metrics beyond standard execution time (e.g., external API calls made by my tool)"],"best_for":["SaaS platforms offering MCP tools as a service","teams implementing granular cost tracking per tool","operators needing flexible billing dimensions beyond simple call counts"],"limitations":["Token counting requires integration with LLM tokenizers; not built-in for all model families","Custom metric extractors require manual implementation per tool type","No automatic cost calculation — requires external pricing configuration","Metrics are captured at invocation time; no retroactive adjustment for failed/partial executions"],"requires":["MCP server with tool definitions","Optional: tokenizer library (e.g., js-tiktoken) for token counting","Optional: custom metric extractor functions for domain-specific metrics"],"input_types":["MCP tool invocation requests and responses","Tool execution metadata (duration, status)"],"output_types":["Structured usage events (JSON)","Aggregated usage reports (per tool, per period)","Metric time-series data"],"categories":["data-processing-analysis","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-auvhclimeter-mcp__cap_2","uri":"capability://automation.workflow.billing.event.generation.and.export.for.downstream.processors","name":"billing event generation and export for downstream processors","description":"Converts metered usage data into billing-ready events that can be exported to external billing systems (Stripe, custom databases, data warehouses). Generates structured billing events with tool usage, metrics, timestamps, and optional customer/tenant identifiers. Supports batch export and streaming event emission for real-time billing pipelines. Events are formatted as JSON and can be written to files, HTTP endpoints, or message queues.","intents":["I need to send usage data to my billing system (Stripe, custom backend) for invoice generation","I want to stream billing events in real-time to a data warehouse for analytics","I need to export metered usage in a standardized format for audit and compliance"],"best_for":["SaaS operators integrating MCP metering with existing billing infrastructure","teams building custom billing systems on top of MCP usage data","platforms needing audit trails of tool usage for compliance"],"limitations":["No built-in retry logic for failed exports — requires external error handling","Event schema is fixed; custom billing dimensions require pre-processing before export","No deduplication of events — duplicate invocations may generate duplicate billing events","Export destinations must be configured manually; no auto-discovery of billing endpoints"],"requires":["MCP server with CLIMeter metering enabled","Export destination (HTTP endpoint, file path, message queue URL, or database connection)","Optional: authentication credentials for billing system (API keys, OAuth tokens)"],"input_types":["Aggregated usage metrics from metering middleware","Billing configuration (customer ID, pricing rules, export destination)"],"output_types":["JSON billing events","HTTP POST requests to billing endpoints","File exports (JSONL, CSV)","Message queue events (if supported)"],"categories":["automation-workflow","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-auvhclimeter-mcp__cap_3","uri":"capability://automation.workflow.multi.tenant.usage.isolation.and.attribution","name":"multi-tenant usage isolation and attribution","description":"Provides mechanisms to tag and isolate usage metrics by tenant, customer, or API key, enabling accurate cost attribution in multi-tenant MCP deployments. Supports tenant context propagation through MCP request metadata or custom headers, ensuring each tool invocation is attributed to the correct billing entity. Enables per-tenant usage reports and cost breakdowns without cross-contamination of metrics.","intents":["I need to track usage separately for each customer so I can bill them accurately","I want to prevent one tenant's tool usage from being attributed to another tenant","I need per-tenant usage reports and cost breakdowns for transparency"],"best_for":["Multi-tenant SaaS platforms offering MCP tools","managed MCP hosting services with per-customer billing","teams needing strict usage isolation for compliance or fairness"],"limitations":["Tenant context must be provided at invocation time; no automatic tenant detection from MCP protocol","No built-in tenant authentication or authorization — relies on external identity system","Tenant isolation is logical (via tagging) not cryptographic; requires trust in calling application","No cross-tenant usage aggregation or shared cost allocation (e.g., for shared infrastructure)"],"requires":["MCP server with CLIMeter metering enabled","Tenant context provider (function or middleware that extracts tenant ID from request)","Optional: external identity/auth system to validate tenant context"],"input_types":["MCP tool invocation requests with tenant context (header, metadata, or custom field)","Tenant configuration (ID, billing entity, cost center)"],"output_types":["Usage metrics tagged with tenant ID","Per-tenant usage reports","Per-tenant billing events"],"categories":["automation-workflow","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-auvhclimeter-mcp__cap_4","uri":"capability://tool.use.integration.custom.metric.extractor.plugin.system","name":"custom metric extractor plugin system","description":"Provides a plugin interface for defining custom metric extractors that can capture tool-specific billing dimensions beyond standard execution time and token counts. Extractors are functions that receive the tool invocation request/response and can compute arbitrary metrics (e.g., number of database queries, external API calls, data volume processed). Extracted metrics are included in billing events and usage reports, enabling fine-grained cost attribution based on tool behavior.","intents":["I need to charge based on custom metrics specific to my tool (e.g., number of API calls it makes)","I want to extract billing signals from tool output that standard metrics don't capture","I need to implement complex billing logic that depends on tool-specific behavior"],"best_for":["operators with heterogeneous MCP tools requiring different billing dimensions","teams implementing complex, tool-specific pricing models","platforms needing to extract billing signals from tool outputs (e.g., data volume, API calls)"],"limitations":["Extractors must be implemented manually per tool type; no auto-generation from tool schemas","Extractors run synchronously in the invocation path, adding latency if computationally expensive","No built-in validation of extracted metrics; invalid metrics may corrupt billing data","Extractors have access to full request/response; no built-in data masking or privacy controls"],"requires":["MCP server with CLIMeter metering enabled","TypeScript or JavaScript knowledge to implement custom extractors","Access to tool request/response structure to write meaningful extractors"],"input_types":["MCP tool invocation request (input parameters, metadata)","MCP tool invocation response (output, status, execution metadata)"],"output_types":["Custom metrics (numeric, string, or structured)","Enriched billing events with custom metrics","Tool-specific usage reports"],"categories":["tool-use-integration","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-auvhclimeter-mcp__cap_5","uri":"capability://automation.workflow.usage.based.rate.limiting.and.quota.enforcement","name":"usage-based rate limiting and quota enforcement","description":"Enforces usage quotas and rate limits based on metered tool invocations, preventing over-consumption and enabling fair-use policies. Supports per-tenant quotas (e.g., max 1000 tool calls per month), per-tool rate limits (e.g., max 10 calls/second), and custom quota rules. Blocks or throttles tool invocations when quotas are exceeded, returning quota-exceeded errors to the caller. Quotas can be reset on configurable schedules (daily, monthly, etc.).","intents":["I need to prevent customers from exceeding their usage quota","I want to implement fair-use rate limiting to prevent tool abuse","I need to enforce different quotas for different customer tiers"],"best_for":["SaaS platforms offering MCP tools with usage-based pricing tiers","teams needing to prevent resource exhaustion from runaway tool usage","operators implementing fair-use policies for shared MCP infrastructure"],"limitations":["Quota enforcement is local to a single MCP server instance; no distributed quota tracking across multiple servers","No built-in quota persistence — quotas reset on server restart unless external state store is configured","Rate limiting is per-invocation; no support for burst allowances or token bucket algorithms","Quota rules are static; no dynamic adjustment based on cost or resource availability"],"requires":["MCP server with CLIMeter metering enabled","Quota configuration (per-tenant limits, reset schedule)","Optional: external state store (Redis, database) for distributed quota tracking"],"input_types":["Tool invocation requests with tenant context","Quota configuration (limits, reset schedule, enforcement mode)"],"output_types":["Quota-exceeded errors (if blocking mode)","Throttled responses (if throttling mode)","Quota usage reports"],"categories":["automation-workflow","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":27,"verified":false,"data_access_risk":"high","permissions":["Node.js 16+ (typical MCP requirement)","Existing MCP server implementation","@modelcontextprotocol/sdk or compatible MCP runtime","npm or yarn package manager","MCP server with tool definitions","Optional: tokenizer library (e.g., js-tiktoken) for token counting","Optional: custom metric extractor functions for domain-specific metrics","MCP server with CLIMeter metering enabled","Export destination (HTTP endpoint, file path, message queue URL, or database connection)","Optional: authentication credentials for billing system (API keys, OAuth tokens)"],"failure_modes":["Metering overhead adds latency to each tool invocation (exact overhead not documented)","No built-in persistence — metering data must be exported to external billing system","Limited to tools exposed via MCP protocol; cannot meter internal function calls","No real-time rate limiting or quota enforcement — only post-hoc metering","Token counting requires integration with LLM tokenizers; not built-in for all model families","Custom metric extractors require manual implementation per tool type","No automatic cost calculation — requires external pricing configuration","Metrics are captured at invocation time; no retroactive adjustment for failed/partial executions","No built-in retry logic for failed exports — requires external error handling","Event schema is fixed; custom billing dimensions require pre-processing before export","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0,"quality":0.22,"ecosystem":0.48000000000000004,"match_graph":0.25,"freshness":0.75,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.15,"match_graph":0.23,"freshness":0.12}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:23.903Z","last_scraped_at":"2026-04-22T08:11:36.006Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":1,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=npm-auvhclimeter-mcp","compare_url":"https://unfragile.ai/compare?artifact=npm-auvhclimeter-mcp"}},"signature":"jTGkVpr/W0veqmPZGYROZm8htkZeIlAuca18BjwWk53REiBFLabbT5v2Ocmh9aCpXfoy6lMotNKi7yg5QrL0Dw==","signedAt":"2026-06-21T04:37:04.057Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/npm-auvhclimeter-mcp","artifact":"https://unfragile.ai/npm-auvhclimeter-mcp","verify":"https://unfragile.ai/api/v1/verify?slug=npm-auvhclimeter-mcp","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}