"Understanding Web Scrubbing Techniques" matching MCP servers:

Enables fetching any public web page through managed proxies, with optional JavaScript rendering, returning markdown, text, HTML, or structured JSON.

Enables unified querying of GA4, Cloudflare Web Analytics, Vercel Analytics, and Google Search Console through a single MCP interface, with cross-tracker comparisons and discrepancy reporting.

Enables structured document understanding of local PDFs via a dual-extract MCP server, combining MinerU text/layout and Qwen3-VL vision with fusion adjudication for field extraction, tables, formulas, and validation. Fully local and offline.

MCP server that exposes the AHDB RB209 Nutrient Management Guide Web API v2 as tools, enabling nutrient planning and access to all 97 endpoints.

DATPAQ exposes 34 production data & utility APIs — IP geolocation, DNS/WHOIS/MX lookups, email & phone validation, currency & precious-metals rates, aircraft/VIN lookups, web scraping & screenshots, and more — through one hosted, streamable-HTTP MCP endpoint.

An MCP server that exposes VeloDB analytics data to AI clients through a governed semantic metrics layer (MetricFlow) and raw SQL fallback, with multi-workspace isolation, staging workflows, and a web UI for managing models.

Connects MCP clients to databases like Snowflake, BigQuery, and Databricks through Alkemi's data platform, enabling natural language database queries with proper schema understanding and metadata management for consistent team-wide access.

A FastMCP-based server that provides data analysis tools for processing, analyzing, and visualizing data with an intuitive Streamlit web interface.

Exposes over 19,000 Apify Actors as MCP tools for web scraping, data extraction, and OSINT automation. It enables AI agents to dynamically discover and execute scrapers to collect structured data and crawl web content.

Enables AI clients to query Apache Doris data through a governed semantic metrics layer built on MetricFlow, with raw-SQL discovery as a fallback. It also provides a Semantic Web UI and CLI for managing semantic models, workspaces, credentials, and multi-node deployments.

Agent-first analytics MCP server for querying stats, funnels, and web/agent traffic, with server-side event ingestion and self-serve signup.

Queries Tako to retrieve real-time data and generate visualizations from search queries, uploaded files, or datasets, returning embeddable charts with metadata.

Enables LLMs to interact with any ERPNext instance through comprehensive CRUD operations, advanced permissions, and a web chat interface.

Provides deterministic tools for understanding, transforming, and verifying structured data via MCP, enabling rule inference from examples and verification of transformed records.

MCP server for git-perf, a Git performance/review ledger. Enables agents to record and query performance review data via REST and MCP, with a web interface.

Exposes an agentic AutoML pipeline as a callable tool so any MCP client can upload a CSV and natural language goal and receive a full ML analysis report with SHAP visualizations. Enables autonomous problem understanding, data cleaning, feature engineering, model training, and explainability through a single remote tool call.

Deterministic encode, decode, hash and convert for agents, on the same pipeline engine as the String Utility Belt web app, CLI and editor extensions: a pipeline built and checked in the browser runs unchanged from its share link. Base64/hex/URL, JWT, hashes, JSON/YAML/CSV/XML, dates and regex; tools to search, describe and run utilities or whole pipelines, and to detect input formats. Runs locally

Web extraction MCP server for AI agents. Extract structured data from any URL with built-in Cloudflare bypass, JavaScript rendering, and intelligent parsing. Returns clean markdown or JSON.

Answers "sales dropped since last week — where?" by comparing a target period against a weekday-adjusted baseline and localizing which attribute combinations (e.g. channel=web, or Tuesday nights) explain the shift. Runs fully offline on your own CSV — no API key, no ML training, read-only.

Provides sandboxed file operations, web scraping, data transformation, and authenticated HTTP requests with SSRF protection.