"Matomo web analytics platform" matching MCP servers:

MCP server providing browser compatibility data for the entire Web Platform.

Enables AI agents to search and retrieve API documentation from an internal Swagger platform via MCP.

Provides AI coding assistants with on-demand access to component specs, test scenarios, accessibility requirements, and build guides from the Web UI Component Specification.

Enables searching and retrieving documentation content from SaaSus Platform through MCP-compatible clients like Claude Desktop and Cursor. Provides tools to search for relevant articles, get full content from specific URLs, and access the complete sitemap of SaaSus documentation.

Enables natural-language queries across Actian product documentation, GA4 content analytics, and Jenkins CI build status.

MCP Server that connects AI agents to Chargebee Platform.

About MCP server for Google Agent Platform Docs — Google AI + Vertex AI. 3400+ pages searchable by AI agents.

Enables intelligent navigation and extraction of documentation from websites, allowing Amazon Q to automatically discover relevant pages, extract clean content, and retrieve code examples from web documentation.

A local-first MCP server for web search and documentation fetching, providing free DuckDuckGo search, URL-to-markdown conversion, and library docs from npm, PyPI, crates.io, Go, and GitHub with caching.

Web search, content extraction, and library docs for AI agents with 5-strategy scraping and runs without API keys.

Enables retrieval and cleaning of official documentation content for popular AI/Python libraries (uv, langchain, openai, llama-index) through web scraping and LLM-powered content extraction. Uses Serper API for search and Groq API to clean HTML into readable text with source attribution.

A version-aware cache for web research that stores and serves documentation references, preventing models from re-researching the same topics across sessions.

Converts various file types (PDF, images, audio, DOCX, XLSX, PPTX) and web content (YouTube videos, web pages, Bing search results) into Markdown format for easy reading and sharing.

Enables AI coding tools to query and validate analytics event specifications maintained as Wiki markdown tables, providing structured access to events, properties, and implementation details through MCP.

Integrates Jina.ai's Reader API with LLMs for efficient and structured web content extraction, optimized for documentation and web content analysis.

Connects documentation, GA4 search analytics, Jenkins CI pipeline, and RAGAS-style evaluation to Claude for content gap analysis and documentation improvements.

An MCP server that queries the baseline status of web platform features using data from webstatus.dev. It provides tools to get feature baseline status and a summary of baseline categories.

Provides AI systems with access to Onyx programming language documentation through web crawling and intelligent search capabilities.

Enables web page scraping via Jina reader API and searching FastMCP documentation using minsearch. Supports fetching markdown content from URLs and querying indexed documentation files.

Enables AI agents to interact with the Roark API by writing and executing TypeScript SDK code in an isolated sandbox, with built-in documentation search to guide those tasks.