Best Extract AI Skills & MCP Servers

Open-source CLI to minimize LLM token usage via smart code context extraction

AINative Browser Agent MCP Server — 6 AI-powered browser automation tools for web interaction, structured data extraction, page validation, multi-step tasks, and memory enrichment. Auto-detects ZeroLocal vs Cloud.

Comprehensive HTTP fetch MCP server: SSRF protection, HTML-to-markdown, reader-mode, metadata / link / sitemap / RSS-Atom extraction, robots.txt verdicts

MCP Server for i-AUD MTSD document validation, generation, schema querying, control info extraction, and database operations

The enrichment-grade MCP server for academic paper search and full-text extraction. For science.

MCP web extraction for Claude, Cursor, and agents: no-key demo plus live URL-to-JSON extraction with Haunt API

MCP server for semantic code search and codebase analysis — Treesitter parsing, AST extraction, and embedding-based indexing for any LLM that supports MCP

Thunderbit MCP Server — AI-powered web scraping and structured data extraction for Claude, ChatGPT, and other MCP-compatible AI assistants.

MCP server for efficient PDF text extraction, search, and metadata retrieval for Claude Code

MCP server for markdown files — search, extract sections, list headings, find code blocks across your docs directory

MCP server for web scraping — extract clean markdown, links, and metadata from any URL. Zero auth. Free alternative to Firecrawl.

Local MCP server for PDF manipulation — merge, split, rotate, extract, watermark, metadata. Zero API keys, fully offline. Works with Claude, Cursor, ChatGPT.

Extract design tokens (colors, typography, spacing, border radius, shadows) from any public website. Generates JSON and CSS custom properties for local projects. Available as an AI agent skill (Claude, Cursor, Codex) and standalone CLI.

Multi-format document parser MCP server - extract text, tables, and metadata from PDFs, images, HTML, and office documents for AI agents

MCP server for pūrmemo - AI conversation memory that works everywhere. Save and recall conversations across Claude Desktop, Cursor, and other MCP-compatible platforms. Intelligent context extraction, smart titles, living documents.

Shared MCP server building blocks for @us-all servers — token-efficient by design (category toggles, extractFields, search-tools meta, registry, runtime)

Official Talonic MCP server. Lets AI agents extract structured, schema-validated data from any document via the Model Context Protocol.

Pack files into a compressed context bundle — reduce token usage by extracting only signatures, maps, or full content.

Inline, extract, and move refactoring — inline variables/functions, extract code to new functions, move between files.

Simplify common data manipulation tasks like encoding, hashing, and formatting across various formats. Convert between CSV, JSON, Markdown, and HTML seamlessly to streamline data workflows. Extract insights from text and configurations through robust parsing, regex testing, and s

Extract tags from any Danbooru post and explore categories at a glance. Analyze character-specific tag frequencies to surface top traits and clothing patterns. Look up tag and character details from the Danbooru Wiki to add context.

Search the web and extract clean, readable text from webpages. Process multiple URLs at once to speed up research with reliable throttling and error handling. Quickly compile sources and summaries for briefs, reports, or competitive analysis.

Discover co-authors and collaboration networks for any researcher. Extract research interests and keywords from scholar profiles to understand expertise. Accelerate literature review and team scouting with unified author insights.

Extract product mentions, sponsors, and trends from podcast transcripts. Returns structured data with product names, categories, confidence scores, recommendation strength, and aesthetic tags. Tools: extract_podcast_products, analyze_episode_sponsors, track_product_trends (with a