"Matomo web analytics platform" matching MCP servers:

Code Intelligence Platform for AI Coding Assistants

Enables local detection of protected health information in source code before it reaches LLM prompts, log statements, or analytics calls.

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.

Enables AI coding agents to perform surgical code analysis, semantic memory, and quality enforcement via 18 specialized MCP tools, with a real-time analytics dashboard.

Enables agents to refactor source code and extract structured code summaries, plus generate interview questions and query 5G NWDAF analytics through MCP tools.

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.

Self-hosted AI Agent Memory + Code Intelligence Platform providing persistent memory, AST-aware code search, and quality enforcement via a single MCP endpoint.

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.

Frida MCP server enables AI models to perform dynamic analysis on mobile and desktop platforms via standardized interfaces, with cross-platform device management, script injection, and built-in hook scripts.

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.