"Matomo web analytics platform" matching MCP servers:

Code Intelligence Platform for AI Coding Assistants

Analyzes codebases for cross-platform compatibility issues, detecting platform-specific APIs, file path problems, line ending inconsistencies, and shell command incompatibilities across Windows, macOS, and Linux.

A Model Context Protocol (MCP) server that provides AI assistants with access to SonarQube code quality, security, and project analytics data.

Provides comprehensive Git repository insights including author statistics, branch health, and code churn analysis. It enables users to perform data-driven assessments of their codebase and track development patterns through the Model Context Protocol.

The Fabric-Analytics-MCP server enables AI agents to interact directly with Microsoft Fabric using natural language. It transforms complex data engineering tasks—such as workspace management, data exploration, and job execution—into intuitive, conversational workflows for LLMs like Claude or GitHub

Indexes Kotlin/Native platform klibs to enable fast symbol lookup for iOS APIs. Supports querying classes, members, and platform constants via MCP tools for Kotlin Multiplatform development.

A self-hosted persistent memory platform for AI agents and humans offering tools for memory storage, search, beliefs, work management, and code intelligence via MCP.

MCP server that enables AI agents to analyze legacy code, plan and execute software migrations, generate modern source code, and validate production-ready artifacts through a multi-agent pipeline.

Provides AI assistants in Cursor with local access to 1C platform documentation and XML configuration exports, enabling metadata lookup, BSL code search, and platform help queries without manual file copying.

Enables AI assistants to perform headless reverse engineering of retro game ROMs using Ghidra, with automated platform detection and triage.

Enables AI assistants to audit, migrate, scaffold, and manage TON smart contracts using the TON Dev Skills platform.

A high-performance MCP server integrated with a Django analytics dashboard, featuring 19 tools for AI interaction tracking, AST code analysis, and real-time token efficiency metrics.

Enables local-first analysis of platform specifications against registries, identifying gaps and generating allowlisted code for Cursor and CLI workflows.

MCP server that validates AI-generated 1C:Enterprise (BSL) code against the real platform API. Catches unknown enum values, wrong argument counts, and missing type members by parsing the platform syntax-helper (shcntx_ru.hbk) — independent Rust implementation with built-in expression validator.

Exposes GitHub engineering-analytics tools to LLM clients, enabling queries about code review bottlenecks, stale PRs, and commit hygiene.

Enables AI-assisted code review by integrating with the DevReview platform to analyze pull requests and provide feedback.

A Model Context Protocol (MCP) server for interacting with SonarQube code quality platform.

Provides 1C configuration metadata, platform syntax, and query language reference for BSL coding agents. Resolves natural language terms to exact object names, returning structures, relationships, and version-aware method details.

A local Git intelligence MCP server that provides deep repository analytics including hotspots, temporal coupling, knowledge maps, churn analysis, and risk scoring for AI agents.

A local Git intelligence MCP server that provides deep repository analytics including hotspots, churn, knowledge maps, and risk scoring, all computed from commit history without data leaving your machine.