Just wanted to get some thoughts on this. I am looking for a new CRM/workflow management/document management/time and billing/esignature management/lead management system for my accounting/tax business. I am hoping to have most if not all of the processes automated going into this new tax season. I am currently using a system that doesnt fit my needs anymore. Does anyone have any thoughts on a system that would fit all of those needs even if its using N8N to fill the gaps? I know GHL fits most of it but I have not used it much. I want to be able to run my AI automation solutions alongside the accounting/tax business in the same CRM/Practice Management system. Does anyone have any ideas?

n8n-mcp broke 7k stars ⭐⭐⭐ and just got a major reliability upgrade - your AI agents now catch and fix workflow errors automatically even better. 👇 📰 What's new: 👉 Automatic Error Detection & Fixing - n8n-mcp now identifies and corrects common workflow issues: missing webhook paths, incorrect expression formats, wrong error handler connections, and node type typos 👉Smart Node Corrections - Handles the classics: "HTTPRequest" → "httpRequest", "slak" → "slack", deprecated package prefixes, and suggests alternatives with confidence scoring. Only auto-applies fixes above 90% confidence 👉Preview-First Approach - New n8n_autofix_workflow tool lets you see what will be fixed before applying changes. Choose specific fix types or let it handle everything automatically 👉Expression Validation System - Three-tier validation catches missing '=' prefixes, validates bracket matching, and detects common mistakes like template literals before they break your workflows. So no mo manual switching from "Fixed" to "Expression" in the n8n UI 👉Resource Locator Intelligence - Smart suggestions for GitHub repos, Slack channels, and other resource identifiers with confidence-based recommendations The real impact: AI agents spend less time debugging syntax issues and more time building the automation logic you actually need. Your workflows are significantly more likely to work on first deployment.

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