"Scraping Public Documents" matching MCP servers:

Wraps GitLab's public REST API v4 to allow AI agents to interact with GitLab public data without authentication.

A code review tool that generates detailed HTML review documents by comparing branches or commits, with author filtering and intelligent analysis.

Enables natural-language queries about public GitHub repositories, including issues, pull requests, repo metadata, and READMEs, via the GitHub API.

An MCP server that reads public GitHub Projects v2 boards (including item-level data like status and custom fields) without authentication, using official APIs and fallback methods for user-owned projects.

MCP server for exploring GitHub public data. It provides tools to fetch user profiles, list top repositories, and calculate language usage statistics, which AI agents can invoke dynamically.

Generates multi-platform release announcements (X, Reddit, GitHub profile, awesome-list, MCP directory) and a publish-readiness checklist for any public GitHub repository.

An MCP (Model Context Protocol) server for handling GitHub URLs with validation and parsing capabilities. This server provides tools to convert between GitHub repository information and URLs, with intelligent validation to distinguish between public repositories, private repositories, and non-exist

Enables AI agents to analyze public GitHub repositories directly through tools for repo health scoring, recent commit summaries, good first issue discovery, and semantic Q&A over docs and issues.

Provides tools to read local git repositories and fetch public web pages without external APIs, configurable via environment variables or JSON files.

sharedoc-mcp is an MCP stdio server that lets AI agents publish, update, search, and revoke shareable Markdown documents as secret GitHub gists or self-hosted password-protected links with expiry, through eight MCP tools and a single interface.

Connects to the Zread.ai documentation platform, enabling AI assistants to read GitHub repository documents, search code, and interact with repository AI.

Enables AI agents to query a GitHub user's public profile, repositories, language breakdowns, and README content

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.

A lightweight MCP server that enables fetching public GitHub user profiles, repository stats, recent events, and pull request insights through simple tool calls.

Provides natural language search capabilities for Spryker GitHub repositories, packages, and public documentation. It enables code-level searches across Spryker organizations to help developers find relevant modules and technical information.

Clones and inspects public GitHub repositories to extract evidence like manifests, dependencies, and version hints, and can run allow-listed repos in isolated Docker containers for reproducible verification.

Enables analysis and querying of Git repository content (both public and private) through a unified tool that provides repository summaries, file structures, and full content optimized for LLM consumption.

MCP server that produces scored, evidence-cited audits of public GitHub repos via tools for fetching metadata, reading files, scanning git history, and checking hygiene.

A read-only MCP server that verifies public GitHub commits against static contracts and returns signed receipts, supporting only exact lowercase 40-character commit SHAs.

Enables writers and researchers to manage large Markdown documents with AI-powered tools, including version history, semantic search, and context management.