Frappe_Assistant_Core: what it is & alternatives

by buildswithpaul · MCP Server · ★ 324

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

🔒 Is Frappe_Assistant_Core safe to install? View the security audit →

About Frappe_Assistant_Core

Frappe Assistant Core Talk to your ERPNext site. FAC lets Claude, ChatGPT, and other MCP-ready LLMs work directly with your invoices, customers, stock, workflows, and custom apps — inside your ERPNext permissions, with every call logged. [![Sponsors](https://img.shields.io/github/s

Security audit verdict: SAFE · quality 71/100

No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

ai-assistantanalyticsautomationbusiness-intelligencedata-analyticsenterpriseerpnextfrappemcp-serveropen-source

Quick Facts

Stars324
Forks193
LanguagePython
CategoryMCP Server
LicenseAGPL-3.0
Quality Score71/100
Open Issues5
Last Updated2026-10-15
Created2025-06-21
Platformsbrowser, mcp, python
Est. Tokens~15k

Compatible Skills

These tools work well together with Frappe_Assistant_Core for enhanced workflows:

  • databao-context-engine — semantic(0.17)+complementary+rare_topics+same_lang+similar_pop+shared_platform (60%)
  • huf — semantic(0.42)+complementary+rare_topics+similar_pop (49%)
  • dbt-mcp — semantic(0.24)+rare_topics+same_lang+similar_pop+shared_platform (48%)
  • facebook-ads-library-mcp — semantic(0.18)+rare_topics+same_lang+similar_pop+shared_platform (46%)

Frappe_Assistant_Core alternative? Top 6 similar tools

Looking for a Frappe_Assistant_Core alternative? If you're comparing Frappe_Assistant_Core with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

  • mcp-ssh-manager by bvisible · ⭐ 502

    MCP SSH Server: 37 tools for remote SSH management | Claude Code & OpenAI Codex | DevOps automation, backups,

  • daymon by daymonio · ⭐ 365

    Daymon puts your favorite AI to work 24/7. It schedules, remembers, and orchestrates your own virtual team. Fr

  • facebook-ads-library-mcp by talknerdytome-labs · ⭐ 189

    MCP Server for Facebook ADs Library - Get instant answers from FB's ad library

  • cheatengine-mcp-bridge by miscusi-peek · ⭐ 1.2k

    Connect Cursor, Copilot & Claude AI directly to Cheat Engine via MCP. Automate reverse engineering, pointer sc

  • Sentient by existence-master · ⭐ 704

    Your personal AI assistant, running on your own computer. Long-running tasks, real memory, proactive help, voi

  • wren-engine by Canner · ⭐ 665

    The open context engine for AI agents support 15+ data sources. Built on Rust and Apache DataFusion.

More MCP Server Tools

Explore other popular mcp server tools:

View all MCP Server tools →

Popular Python Agent Tools

Frequently Asked Questions

What is Frappe_Assistant_Core?

Frappe_Assistant_Core is Infrastructure that connects LLMs to ERPNext. Frappe Assistant Core works with the Model Context Protocol (MCP) to expose ERPNext functionality to any compatible Language Model. It is categorized as a MCP Server with 324 GitHub stars.

What programming language is Frappe_Assistant_Core written in?

Frappe_Assistant_Core is primarily written in Python. It covers topics such as ai-assistant, analytics, automation.

How do I install or use Frappe_Assistant_Core?

You can find installation instructions and usage details in the Frappe_Assistant_Core GitHub repository at github.com/buildswithpaul/Frappe_Assistant_Core. The project has 324 stars and 193 forks, indicating an active community.

What license does Frappe_Assistant_Core use?

Frappe_Assistant_Core is released under the AGPL-3.0 license, making it free to use and modify according to the license terms.

What are the best alternatives to Frappe_Assistant_Core?

The top alternatives to Frappe_Assistant_Core on Agent Skills Hub include mcp-ssh-manager, daymon, facebook-ads-library-mcp. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

View on GitHub → Browse MCP Server tools