"Generating Metrics" matching MCP servers:

An MCP server for analyzing startup financial health and generating metrics reports locally.

Provides read-only access to host system metrics (CPU, memory, disk), Docker container health/logs, and sandboxed log file analysis via MCP tools, enabling AI agents to monitor enterprise infrastructure safely.

Enables agents to query curated metrics through a registry-backed semantic layer, preventing ad-hoc SQL and enforcing consistent definitions. Every numeric claim is verified against the underlying query result before it is allowed to be sent.

Provides real-time cross-chain bridge metrics, enabling AI agents to analyze liquidity, transaction flows, and performance across blockchain networks.

An MCP server that tracks trading volume metrics segmented by DEX, blockchain, aggregator, frontend, and Telegram bot.

Connects AI clients to the Standard Metrics API for automated analysis of venture capital portfolio data. It enables users to query financial metrics, track company performance, and generate comprehensive reports using natural language.

Enables querying Amazon EKS cluster metrics from the Kubernetes API server, with filtering by metric name and labels, supporting both exact and regex patterns.

Enables generating QA datasets from documents and evaluating RAG systems with detailed metrics, failure diagnosis, and visual reports through natural language.

Enables LLM clients to ask natural-language questions about FABRIC Testbed infrastructure metrics, with responses grounded in fixed Grafana/PromQL queries for node, switch, and link metrics.

Enables agents and Claude Desktop to query a single canonical source for multifamily marketing metrics, with 22 tools for retrieving metric definitions and values from a synthetic portfolio database.

Enables auditing webpages for GEO metrics, calculating MAVI score, and generating llms.txt templates for RAG readiness.

A server that provides tools for retrieving SonarQube project metrics and quality data through a simplified message-based approach, allowing users to programmatically access metrics, historical data, and component-level information from SonarQube.

A production-ready MCP agent that helps data teams define, validate, and visualize semantic metrics with enterprise-grade persistence, trust scoring, and BI integrations.

Advanced server for simulating financial models and stochastic processes, offering tools for generating simulations, calculating financial metrics, and visualizing results with interactive components.

Enables interaction with the Artemis API to retrieve and analyze cryptocurrency data, including accessing metrics, generating formulas, and validating API connections.

Enables data teams to define and validate metrics through conversation, inspect trust scores and lineage, and export definitions to Looker, Tableau, and dbt.

Enables deterministic financial research by retrieving price history, calculating risk metrics such as Sharpe ratio and drawdown, and generating cited, provenance-aware reports.

Provides MCP tools for scanning, redacting, and packaging dataset/model directories for public release, leveraging Presidio for PII detection and generating Hugging Face cards and EU AI Act training-data summaries.

An MCP server that records agent execution metrics and exposes a Context Window Explorer to visualize exactly what entered the model's context window across sessions, tokens, and tool calls.

Standalone MCP server and CLI for generating images via ChatGPT backend, with reliable exact file paths and multi-account login support.