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

GitHub's official MCP Server

A lightweight MCP server that fetches URLs and returns clean, readable markdown, enabling AI assistants to read any webpage with article extraction, caching, and security features.

A single static Go binary that exposes GitHub operations (repos, branches, commits, file contents, issues, PRs, and search) as MCP tools, enabling agents to read and write GitHub data with no runtime dependencies.

Summarizes GitHub discussions, issues, and pull requests by storing data locally for fast, token-efficient responses.

Enables autonomous coding agents to inspect Git commits, create pull requests, parse issue threads, and post reviews on GitHub repositories.

CNN's Fear & Greed index for the US stock market: current score and rating, the seven component indicators, and about a year of daily history. Go standard library only, no API key required.

MCP server that enables AI assistants to drive systematic literature review workflows, including screening, downloading, converting, and reviewing papers through natural language conversation.

Connects AI tools to GitHub and local git repositories, enabling natural language management of issues, PRs, code analysis, and workflows.

An MCP server that gives AI agents structured read/write access to a story-based project backlog. Agents can list stories, read content, update status, and append notes — all backed by plain markdown files that live inside your project repository. There is no shared server. The backlog files live in your repo under requirements/, committed and versioned alongside your code

Manages an agent's long-term memories as versioned markdown files with searchable SQLite indexes, supporting lifecycle states, conflict-gated recall, revision, and explicit forgetting without automatic deletion.

Local-first shared memory and task coordination for AI coding agents. One Go binary, MCP server, markdown files you own. Hooks for Claude Code and Codex CLI (and their desktop apps).

MCP server for MediaWiki wikis. Search, read, edit, and manage wiki content from AI assistants. Includes formatting, link checking, revision history, and markdown conversion.

An MCP server that lets AI publish markdown documents to a clean, themed web UI. One tool call creates a shareable doc.

Gives AI assistants real-time access to web data with the ability to scrape any website, bypass anti-bot systems, extract structured data, and capture screenshots through enterprise-grade infrastructure.

A Model Context Protocol server that enables AI assistants to read from and write to Microsoft Excel files, supporting formats like xlsx, xlsm, xltx, and xltm.

MCP governance server that lets AI agents build and maintain a persistent, versioned wiki of interlinked Markdown files through validated tools, enforcing invariants like linking, immutability, and one git commit per write.

An MCP server that provides Claude Code with 99 methodology skills, seed patterns, decision logging, and memory tools to improve software development decisions. It acts as a cognitive scaffold layer, enabling better working methods rather than just additional data.

Provides git-aware safe file operations, allowing AI agents to delete files while protecting git-tracked source code from accidental deletion.

Enables sending emails via Amazon SES, SMS/MMS/RCS messages through AWS End User Messaging, and sharing files via CloudFront-signed download links, all from AI assistants like Claude Code or Claude Desktop.

Security proxy that wraps any MCP server with bidirectional scanning for credential leaks, prompt injection, and tool description poisoning. Also provides an HTTP fetch proxy with a 9-layer scanner pipeline for capability-separated agent deployments.