Best Parse AI Skills & MCP Servers
25 curated Parse skills and MCP servers — install any of them into Claude, Cursor, ChatGPT, n8n, or any AI stack with one command.
Apiz
MCP (Model Context Protocol) server for apiz.ai — exposes generate / get_result / search_models / guide / account / speak / parse_video / transfer_url tools
T32 Lsp
TRACE32 CMM language server via MCP — parse, diagnostics, completions, hover, symbols, and CLI validation for PRACTICE scripts. Native binary, no Node.js runtime needed.
Code Context
Powerful MCP server with Tree-sitter WASM parsers for 100% AST accuracy. Zero native dependencies. Production-ready with persistent caching, structured logging, file watching, fuzzy search, rate limiting, file locking, and ReDoS protection. Supports TypeS
Asyncapi
AsyncAPI MCP server — Model Context Protocol server for working with AsyncAPI: parse and validate documents, list templates, and generate code and docs (via @asyncapi/parser and @asyncapi/generator) for any MCP-compatible client
Auxiliar
Unified Capability index for AI agents — 80+ ranked cloud services, skills, MCP servers, plugins, parsers, and public-data sources for Claude Code, Cursor, Claude Desktop, OpenClaw. Call find_capability with a query or jtbd tag to get a ranked list across
Jvm Diagnostics
MCP server for JVM diagnostics — analyze thread dumps, detect deadlocks, parse GC logs, and get JVM tuning recommendations
Overleaf
MCP server that lets AI assistants read Overleaf projects, parse LaTeX document structure, and push section-level edits back via Git.
Pdf Reader
MCP server for efficient PDF text extraction, search, and metadata retrieval for Claude Code
Server
MCP server for sthan.io — US address verification, parsing, autocomplete, geocoding, and IP geolocation
Structured Data Validator
MCP server for validating, transforming, and normalizing structured data - built specifically for AI agents
Pdf Reader
An MCP server providing tools to read PDF files.
Kordoc
Parse Korean documents (HWP3, HWP, HWPX, HWPML, PDF, XLS, XLSX, DOCX) to Markdown + Print Renderer
Document Parser
Multi-format document parser MCP server - extract text, tables, and metadata from PDFs, images, HTML, and office documents for AI agents
Pdf Reader
An MCP server providing tools to read PDF files.
Csv
A Model Context Protocol (MCP) server for powerful CSV file operations - read, write, query, transform, analyze CSV data with formulas and charts.
Eslint Plugin Secure Coding
Security-focused ESLint plugin with 89 AI-parseable rules for detecting and preventing vulnerabilities. OWASP Top 10 2021 + Mobile Top 10 2024 coverage, CWE references, and AI-assisted fix guidance.
Kordoc
Parse Korean documents (HWP, HWPX, PDF, XLSX, DOCX) to Markdown
Brick Treesitter
Multi-language tree-sitter parser — supports ~50 languages including TypeScript, Python, PHP, Go, Rust, HTML, YAML, JSON, Markdown, Twig, SCSS, etc.
Eslint Plugin Node Security
Security-focused ESLint plugin for Node.js built-in modules (fs, child_process, vm, path, Buffer). Detects command injection, path traversal, code execution vulnerabilities with AI-parseable error messages.
Crawlforge
CrawlForge MCP Server - Professional Model Context Protocol server with 23 web scraping, crawling, and content processing tools. Defaults to local Ollama for LLM extraction (no API key needed); OpenAI/Anthropic available as opt-in. v4.0 adds Markdown-firs
Docs To Parser
HTML cleanup and Markdown conversion for documentation pages
Quikdown
quikdown is a simple markdown to HTML parser that supports fences
Photon Core
Core library for parsing, loading, and managing .photon.ts files - runtime-agnostic foundation for building custom Photon runtimes
Office Parser
MCP server for reading, writing and converting LibreOffice & Office documents — pure JS, no external dependencies required
About Parse skills on iClaude
iClaude is the universal install layer for AI skills. Every Parse skill on this page can be installed into Claude Code, Claude Desktop, Cursor, ChatGPT, n8n, Codex, and more — using a single copy-paste command. No config drift, no per-stack adapters, no manual MCP wiring.