"Web Analytics" matching MCP servers:

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

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

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.

MCP server that provides UI5 Web Components documentation and integration guides for AI assistants.

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

MCP Server for accessing W3C/WHATWG/IETF web specifications. Provides AI assistants with access to official web standards data including specifications, WebIDL definitions, CSS properties, and HTML elements.

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.

Enables Claude to read, navigate, and search a public Notion site for web-development assignments by year, including subpages, databases, images, external links, and full-text search.

A document conversion server that transforms various file formats (PDFs, documents, images, audio, web content) to Markdown with improved multilingual and UTF-8 support.

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

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

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

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 agents to find relevant documentation with source URLs, evidence, and freshness, search and browse an llms.txt directory, validate or draft llms.txt files, and manage site registration, verification, and change watches.

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.

Enables AI assistants to interact with the Roark REST API, allowing them to explore endpoints, make test requests, and use documentation to help integrate this SDK into your application.

Enables web research through multi-provider search, documentation lookup, public code search, and clean Markdown extraction from static or JavaScript-rendered pages via five read-only tools.

Aggregates documentation from multiple sources (llms.txt format or web scraping) and provides semantic search capabilities using vector embeddings and hybrid search for each documentation source.

A self-hosted MCP server that crawls, indexes, and searches documentation from any website locally, including private sites requiring authentication. It provides hybrid search capabilities and local embedding generation to maintain privacy while keeping AI assistant knowledge up to date.

Enables plain-English lookup, search, and browsing of 5,600+ US legal terms and doctrines from Cornell LII's Wex encyclopedia, with related terms, categories, and last-reviewed dates.

Local-first document management and semantic search for AI coding agents, with a built-in web dashboard and REST API.

Enables AI agents to send HTML documents to a local viewer, where they are stored and displayed in a live web UI for browsing and searching.

Enables offline browser compatibility and Baseline status lookup for web features, including support checks, search, and comparison against browserslist targets, using bundled MDN, web-features, and caniuse data.

Enables searching and summarizing MDN Web Docs documentation directly from MCP-compatible clients. Allows developers to quickly retrieve concise documentation summaries for web technologies without leaving their workflow.

Enables AI agents to search and retrieve detailed information about W3C and web standards specifications, including HTML, CSS, accessibility, and more. Provides tools for keyword search and fetching spec details by shortname or title.