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Casys-AI/mcp-erpnext

Let AI agents operate your ERPNext — documents, workflows, and interactive viewers

TypeScript ◇ ai-agents MIT
★116STARS
⑂43FORKS
!5ISSUES
🏆#24,846GLOBAL RANK
🔥10DAYS TRENDING
🚀
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⚡ Executive Summary & Quick Facts

Authoritative Source

mcp-erpnext is mcp-erpnext is an open-source project written in TypeScript: Let AI agents operate your ERPNext — documents, workflows, and interactive viewers..

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), Casys-AI/mcp-erpnext has accumulated 116 GitHub stars and 43 forks. It is written in TypeScript, licensed under MIT, and ranks #24,846 globally. It is actively maintained with the latest commit recorded on Oct 31, 2026.”
Repository Casys-AI/mcp-erpnext ↗
Primary Category ai agents
Language & Stack TypeScript
Software License MIT
Community Traction ★ 116 stars · ⑂ 43 forks · #24,846 globally
Maintenance ● Active (Last commit: Oct 31, 2026) · 5 open issues
Target Audience Developers and engineering teams building with TypeScript, seeking reliable, tested, and actively maintained tooling for production workloads.

🛡️ Repository Maintenance & Health Audit (2026)

Health Score: 93/100 · Grade A+
✅
Is mcp-erpnext actively maintained in 2026?
Verdict: Actively Maintained & Highly Recommended

Yes, mcp-erpnext is actively maintained. Continuous telemetry recorded the last code commit on Oct 31, 2026 (13 days ago). Supported by 116 stars and 43 community forks, this repository holds a calculated health index of 93/100, reflecting very active (commits within last 14 days) and healthy issue cadence.

Commit Recency
Oct 31, 2026
13 days since last push
Issue Backlog
5 Open Issues
Healthy Issue Cadence
Community Backing
43 Forks
116 Stars Recorded
Software License
MIT
Permissive & Inspectable

Star History

Continuous Observations
Interactive star growth chart for Casys-AI/mcp-erpnext
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Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#2,688

MOST-STARRED TypeScript

Window7 days30 days90 days
Stars gained+0+10+90
Per day111
Forks gained+0+3+10

mcp-erpnext gained 10 stars in the last 30 days, about 1 a day, and now has 116. It is about 1 year old and has averaged roughly 116 stars a year. It ranks #2,688 among TypeScript repositories and #24,846 across all languages on GitHubRepo.

Trending Record

mcp-erpnext has maintained a continuous presence across global trending indexes, peaking at #19604. Below is the 30-day activity profile:

💡 Overview

mcp-erpnext is an open-source project written in TypeScript: Let AI agents operate your ERPNext — documents, workflows, and interactive viewers.

Engineered for speed, consistency, and developer ease, it solves common hurdles in ai-agents, claude, claude-desktop. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

⚡ Key Features

1

Optimized execution pipeline written in TypeScript for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ npm install mcp-erpnext

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Node.js >= 18, npm, pnpm or bun

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

mcp-erpnext coordinates its core functionality through a modular TypeScript pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.

🎯 Production Use Cases

Autonomous AI Agents

Orchestrate intelligent workflows and tool-calling routines with mcp-erpnext.

Model Inference & Prompting

Integrate fast, local or cloud-hosted generative AI models directly into production code.

Context Memory & RAG

Augment language models with dynamic vector retrieval and structured project memory.

Developer Productivity

Automate repetitive engineering tasks, code generation, and test creation using AI agents.

🚀 Getting Started

1

Install mcp-erpnext using your package manager: `npm install mcp-erpnext`

2

Initialize your project workspace or configuration file for mcp-erpnext.

3

Import mcp-erpnext into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `mcp-erpnext --help` to verify successful setup.

👍 Strengths

Active community backing with 116 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT license.
Built in TypeScript for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with TypeScript and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

⇄ Alternatives & Direct Competitors

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freeCodeCamp/freeCodeCamp ★ 458.9K TypeScript

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Reverse engineer anything with agents, from app behavior down to native binaries.

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👥 Who Should Use This

Developers and engineering teams building with TypeScript, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

Casys-AI/mcp-erpnext is currently ranked #24,846 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#24,759 Tsanyamra/PeelZiz JavaScript ★ 117 Compare ↗
#24,759 wzk112/Bilibili-NEXT Swift ★ 117 Compare ↗
#24,759 AInVFX/ainvfx-paintaplate Python ★ 117 Compare ↗
#24,759 ArcheOne-AI/RoboScript Python ★ 117 Compare ↗
#24,759 MZULALI/xj-scanner Python ★ 117 Compare ↗
#24,846 Casys-AI/mcp-erpnext This Project TypeScript ★ 116
#24,846 defunkt/acts_as_textiled Ruby ★ 116 Compare ↗
#24,846 fasterthanlime/jooc-legacy Java ★ 116 Compare ↗
#24,846 jamesgolick/observational Ruby ★ 116 Compare ↗
#24,846 montylounge/django-sugar Python ★ 116 Compare ↗
#24,846 lsegal/barracuda C ★ 116 Compare ↗
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Frequently Asked Questions

What does mcp-erpnext do? +

Let AI agents operate your ERPNext — documents, workflows, and interactive viewers

Is mcp-erpnext actively maintained in 2026? +

Yes, mcp-erpnext is actively maintained. The latest code push was recorded on Oct 31, 2026 (13 days ago). It holds a calculated Maintenance Health Score of 93/100 (A+ rating) with 116 stars and 5 open issues.

What language is mcp-erpnext written in? +

The primary language is TypeScript. Topics include: ai-agents, claude, claude-desktop, deno, engineering-toolchain.

How many stars does mcp-erpnext have? +

mcp-erpnext has 116 stars and 43 forks on GitHub.

How does mcp-erpnext rank among GitHub repositories? +

With 116 stars, Casys-AI/mcp-erpnext is ranked #24,846 globally across all repositories tracked on GitHubRepo and #2,688 among TypeScript projects.

What license is mcp-erpnext distributed under? +

The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.

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