"Generating Metrics" matching MCP servers:

Analyzes git repository metrics to understand team health, development patterns, code quality, and collaboration through natural language queries. Provides insights on commit statistics, bus factor, velocity trends, technical debt, and burnout detection.

Enables AI agents to create, validate, evaluate, and score quantum circuits with support for multiple hardware platforms. Provides tools for generating quantum algorithms (Bell states, Grover's, VQE), simulating circuits, checking hardware compatibility, and assessing circuit quality metrics.

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.

Automates Close-to-Shore methodology for Godot game development by creating tasks in Shrimp MCP from hop plans and generating interactive visualizations of signal architectures, dependencies, and project metrics.

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

MCP server that enables AI coding assistants to audit repositories against engineering rules, generating self-contained HTML reports with citations and optional GitHub issue filing.

An MCP server that automatically instruments Python AI agents with the ioa-observe-sdk, adding OpenTelemetry-based tracing, metrics, and logs with zero manual effort.

An MCP server for SonarQube that enables LLM agents to discover projects, analyze code quality metrics, check Quality Gate status, search issues with filters, and rank projects by worst-performing metrics. It provides read-only, safe access to SonarQube instances with structured outputs and error handling.

Enables Claude Code to leverage local Ollama models for tasks like summarizing large files, reviewing diffs, semantic code search, and generating boilerplate or tests, while also supporting a fully offline mode.

Enables generating TOTP verification codes on macOS using seeds stored in the login keychain, with optional seed import, removal, and sharing with Passwords.app for automated publishing and other gated tasks.

MCP server for generating professional PDFs from structured JSON in AI agents like Claude or Cursor, using pure Node.js with embedded fonts and precision text layout.

An MCP server for counting tokens in text or files using model-specific tokenizers, and reporting file metrics like lines, characters, and size.

Enables MCP-capable coding agents to access SkeletIQ architecture releases, including reading designs and build orders, generating and critiquing architectures, and reporting build progress and drift.

An MCP server for n8n that gives AI agents tools for generating workflows, linting, diagnosing failed executions, and driving live n8n instances.

Enables running code against tests in an isolated sandbox to obtain PASS/FAIL verdicts with signed, offline-checkable certificates, and generating verified code with attached certificates after execution against derived tests.

MCP server for generating professional ATS-friendly CVs as PDF/DOCX from AI conversations. Auto-manages a Docker container with a visual editor for layout customization.

Enables Cursor AI to query SonarQube for pull request metrics, issues, file issues, and duplication reports directly, without manual data export.

Turns natural-language API descriptions into runnable k6 load tests, executes them, and returns structured performance metrics for AI-assisted reporting.

Enables searching the official MCP Registry for servers, inspecting details, and generating install commands directly from within an agent session.