"Methods to Scrape a Website and Fetch Markdown Files from GitHub" matching MCP servers:

Enables AI agents to extract clean, structured content from any web page via a pay-per-call API or with a Forge key.

Enables agents to transform tabular Markdown content into structured, type-inferred records with normalized formatting through an MCP-compatible interface.

Enables converting Markdown and HTML tables into structured JSON records with automatic column type inference and format normalization. It also offers supporting web-agent primitives such as DOM semantic pruning, form field auto-mapping, and execution trajectory evaluation, all via a zero-dependency MCP server.

Converts documents (PDF, DOCX, XLSX, EPUB, etc.) to clean, structured Markdown, and retrieves document info, for use with AI agents.

This server enables LLMs to retrieve and process content from web pages, converting HTML to markdown for easier consumption.

MCP server that renders bar, line, and pie charts from data using QuickChart, returning PNG file paths.

Enables AI assistants to fetch public data from 120+ sources via natural language and save it locally as Excel, GeoJSON, or KML files.

GitHub's official MCP Server

Remote MCP server of Aureum Technology GmbH (IT service provider, Rodewisch/Vogtland, Germany): company and contact data, service catalogue, current prices and full-text search across aureum-tech.com for AI assistants. Streamable HTTP at https://aureum-tech.com/mcp, read-only, no authentication.

Enables AI models to perform file operations, user management, automations, and more within Files.com's secure file transfer platform via the Model Context Protocol.

Enables AI assistants to query PostgreSQL, MySQL, SQL Server, Oracle, and MongoDB databases through MCP with read-only, audited access.

Enables async-first working practices by providing tools to draft decision docs, convert meetings to async artifacts, score status updates, and triage sync vs async tasks. It also offers reference tools for the Open and Async book's principles and coaching prompts.

Connects LLMs and AI agents directly to GitHub repositories, enabling repository inspection, file and tree exploration, code search, commit history, issues, pull requests, and releases for both public and private repos.

This read-only MCP Server allows you to connect to GitHub data from Claude Desktop through CData JDBC Drivers. For full CRUD support, check out the first managed MCP platform: CData Connect AI (https://www.cdata.com/ai/).

Lets coding agents fetch real social media and web data from platforms like TikTok, Instagram, YouTube, and more, directly inside editors like Cursor and VS Code.

This MCP server lets AI agents connect to Figma to read, analyze, create, and modify designs, including elements, styles, assets, and code generation. It works with free Figma accounts and supports parallel multi-agent use across MCP-compatible clients.

Enables querying GitHub Security Advisories from a local cloned advisory database using tools like list_advisories and get_advisory.

MCP Server for the GitHub API, enabling file operations, repository management, search functionality, and more.

MCP-first A/B testing server that enables agents to manage experiments (create, update traffic splits, read results, apply winning variants) from tools like Claude Code, with self-hosted Cloudflare backend.

Real-time Amazon Sponsored Products (SP) ad placements, keyword tracking, and comprehensive review data for AI Agents. Enables LLMs to autonomously conduct competitor ad audits, consumer sentiment analysis (VOC), and product optimization.