AgentIndex icon
AgentIndex
pullmd logo
pullmd
★ 492
vs
wet-mcp logo
wet-mcp
★ 19

pullmd vs wet-mcp

pullmd: PullMD is a self-hosted service that converts various content types, including web pages, documents, images, audio, and YouTube videos, into clean, readable Markdown format. It supports integration with AI agents, offering a token-efficient output and multiple API endpoints.; wet-mcp: WET - Web Extended Toolkit MCP Server provides AI agents with comprehensive capabilities for web search, content extraction, and library documentation retrieval. It features a 5-strategy scraping chain, integrated metasearch, and zero-configuration local models for embeddings and reranking, operating without requiring API keys.

01

TL;DR

pullmd logo
pullmdData Processing · ★ 492

Providing clean, distilled content from web pages, documents, and media to AI agents for better context understanding and token efficiency.

Read pullmd full review →
wet-mcp logo
wet-mcpRAG / Knowledge Base · ★ 19

AI Agent Research: Enabling AI agents to perform comprehensive web research and academic literature reviews to gather information for complex tasks.

Read wet-mcp full review →
02

Side-by-Side Comparison

Field
pullmd logopullmd
wet-mcp logowet-mcp
Category
Data Processing
RAG / Knowledge Base
Stars
★ 492
★ 19
License
AGPL-3.0
Apache-2.0
Install Command
mkdir pullmd && cd pullmd && curl -O https://raw.githubusercontent.com/AeternaLabsHQ/pullmd/main/docker-compose.yml && docker compose up -d
docker run -d --name wet-mcp-http -p 8084:8080 -v wet-data:/data -e MCP_TRANSPORT=http -e PUBLIC_URL=https://wet.example.com n24q02m/wet-mcp:latest
Updated
4d ago
2d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
URL-to-Markdown, Self-hosted, AI Agent Tooling
Web Search, Content Extraction, AI Agent Tooling
03

Features

pullmd logopullmd
01Converts URLs, documents, images, audio, and YouTube videos to clean Markdown.
02Self-hosted with a PWA frontend, REST API, and MCP server for AI agent integration.
03Auto-detects and processes Reddit and Hacker News threads with full comment trees.
04Supports high-quality PDF OCR and media captioning/transcription via OpenAI-compatible models.
05Emits token-efficient Markdown body by default, with rich metadata in YAML frontmatter.
wet-mcp logowet-mcp
01Web Search: Embedded SearXNG metasearch (Google, Bing, DuckDuckGo, Brave) with query expansion, TTL cache, and standardized citation format. Optional cloud search backends.
02Content Extract: 5-strategy escalation chain for URL content extraction, providing smart chunks structured output (clean text, markdown, JSON-LD, code blocks, metadata), batch processing, deep crawling, and local file conversion.
03Library Docs: Auto-discover and index documentation with FTS5 hybrid search, HyDE-enhanced retrieval, and version-specific docs for AI agents.
04Zero Config: Built-in local Qwen3 embedding + reranking, no API keys needed. Optional cloud providers can be selected per task for higher-quality results.
04

Use Cases

pullmd logopullmd
↳Providing clean, distilled content from web pages, documents, and media to AI agents for better context understanding and token efficiency.
↳Creating dynamic content feeds (e.g., subreddit feeds) using stable share IDs that automatically refresh.
↳Building a personal or team-wide knowledge base by converting various online and local content into a unified Markdown format.
↳Integrating with large language models and chat agents (like Claude, ChatGPT) as a specialized tool for robust web and document fetching.
wet-mcp logowet-mcp
↳AI Agent Research: Enabling AI agents to perform comprehensive web research and academic literature reviews to gather information for complex tasks.
↳Structured Data Extraction: Automatically extracting structured and unstructured data from web pages, including clean text, markdown, JSON-LD, and code blocks, for further processing by agents.
↳Developer Documentation Access: Providing AI agents with version-aware and topic-specific access to software library documentation for code generation, debugging, or learning.
↳Offline Content Processing: Converting local files (PDF, DOCX, HTML, etc.) to Markdown for AI agent consumption, enabling analysis of local knowledge bases.
FAQ

FAQ

What is the difference between pullmd and wet-mcp?
Both pullmd and wet-mcp are in the Data Processing category. pullmd has 492 stars, while wet-mcp has 19 stars.
Which is better, pullmd or wet-mcp?
The best choice depends on your use case. Choose pullmd if Providing clean, distilled content from web pages, documents, and media to AI agents for better context understanding and token efficiency., and wet-mcp if AI Agent Research: Enabling AI agents to perform comprehensive web research and academic literature reviews to gather information for complex tasks..
Is pullmd free or open source?
Yes, pullmd is open source on GitHub (AGPL-3.0).
Is wet-mcp free or open source?
Yes, wet-mcp is open source on GitHub (Apache-2.0).
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Related

Alternatives to pullmd →Alternatives to wet-mcp →pullmd details →wet-mcp details →