Is Frappe_Assistant_Core safe to use?

Frappe_Assistant_Core has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments. Licensed under AGPL-3.0.

How do I install Frappe_Assistant_Core?

Frappe_Assistant_Core can be installed by cloning its GitHub repository and following the setup instructions in the README.

What can Frappe_Assistant_Core do?

Frappe_Assistant_Core provides 6 tools: create_document, search, reporting, analytics, visualization and 1 more. See the full tools list on the server page for descriptions and parameters.

What AI clients work with Frappe_Assistant_Core?

Frappe_Assistant_Core is compatible with claude-desktop, cursor, claude-code. It uses stdio and sse and http transport.

Is Frappe_Assistant_Core actively maintained?

Frappe_Assistant_Core is actively maintained — last commit was 7 days ago. It has 242 GitHub stars.

Frappe_Assistant_Core

Name: Frappe_Assistant_Core
Author: buildswithpaul

by buildswithpaul

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

242 6 tools GitHub

No known CVEs

AGPL-3.0 license

Actively maintained

Last commit 7d ago

Works with most clients

Transport: stdio, sse, http

6 tools · ~250 tok

Grade A · 0.1% of 200K ctx

Edit this pageView history

Productivity

Step 1

Install in your client

Config is the same across clients — only the file and path differ.

Supported in Claude Desktopstdio, sse, http · Node 18+

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "frappe-assistant-core": {
      "command": "<see-readme>",
      "args": []
    }
  }
}

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Add this badge to your README to show your security score and help users find safe servers.

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[![MCPpedia Score](https://mcppedia.org/api/badge/frappe-assistant-core)](https://mcppedia.org/s/frappe-assistant-core)

Read me

What Frappe_Assistant_Core does

🔧 LLM Integration Platform for ERPNext - Give any Large Language Model the power to interact with your ERPNext system through standardized tools and protocols.

Test This Server

No automated test available for this server. Check the GitHub README for setup instructions.

Loading README…

Scored, not listed

Why this score

Five weighted categories — click any category to see the underlying evidence.

Score breakdown

74/100across 5 weighted dimensions

How we score →

0255075100

−26

Security

Maintenance

Efficiency

Documentation

Compatibility

Categoriesclick a row to see evidence

Security

OSV.dev

No known CVEs.

No package registry to scan.

Inventory

Tools (6)

Click any tool to inspect its schema.

~250 tokens total

Community

Reviews

Be the first to review

Have you used this server?

Share your experience — it helps other developers decide.

How easy was setup?Did it work reliably?How was the documentation?

Frequently Asked Questions

Is Frappe_Assistant_Core safe to use?: Frappe_Assistant_Core has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments. Licensed under AGPL-3.0.
How do I install Frappe_Assistant_Core?: Frappe_Assistant_Core can be installed by cloning its GitHub repository and following the setup instructions in the README.
What can Frappe_Assistant_Core do?: Frappe_Assistant_Core provides 6 tools: create_document, search, reporting, analytics, visualization and 1 more. See the full tools list on the server page for descriptions and parameters.
What AI clients work with Frappe_Assistant_Core?: Frappe_Assistant_Core is compatible with claude-desktop, cursor, claude-code. It uses stdio and sse and http transport.
Is Frappe_Assistant_Core actively maintained?: Frappe_Assistant_Core is actively maintained — last commit was 7 days ago. It has 242 GitHub stars.

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Community

Discussion

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Has anyone used this with Cursor?How do you handle auth?Any alternatives?

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Productivity

Step 1

Install in your client

Config is the same across clients — only the file and path differ.

Supported in Claude Desktopstdio, sse, http · Node 18+

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "frappe-assistant-core": {
      "command": "<see-readme>",
      "args": []
    }
  }
}

Are you the author?

Add this badge to your README to show your security score and help users find safe servers.

Embed in your READMEAbout badges →

[![MCPpedia Score](https://mcppedia.org/api/badge/frappe-assistant-core)](https://mcppedia.org/s/frappe-assistant-core)

Read me

What Frappe_Assistant_Core does

🔧 LLM Integration Platform for ERPNext - Give any Large Language Model the power to interact with your ERPNext system through standardized tools and protocols.

Test This Server

No automated test available for this server. Check the GitHub README for setup instructions.

README

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.

What you get

Once FAC is installed, your team can ask an LLM for things they'd normally do by hand:

"Show me overdue invoices from our top five customers."

"Update this lead's status to Qualified and set next action date to Monday."

"Run the monthly revenue report and summarise the top movers."

"How much stock of SKU-1234 do we have across all warehouses?"

Behind that simple interaction, FAC exposes 24 built-in tools for the things your team does every day — document CRUD, search, reports, workflows, analytics, file extraction, and dashboards. Admins can publish Skills (reusable instructions that teach the LLM how to handle a specific job) and Prompt Templates (saved starting points users can pick from the admin UI) so answers stay consistent and use the right reports. The LLM authenticates over OAuth 2.0 as a real ERPNext user, so it only sees data that user can already see in the desk. Every call is recorded in the Assistant Audit Log.

It's a Frappe app, so developers can extend the toolset from their own Frappe apps through a hook — your data model, your business logic, scoped per your app.

Your data stays in your site. You control which LLM connects.

Quick start

Two install paths depending on how you run Frappe.

On Frappe Cloud (recommended)

Go to your site's Apps tab in the Frappe Cloud dashboard.
Find Frappe Assistant Core in the marketplace and click Install.
Frappe Cloud installs and migrates the app for you.

Marketplace: https://cloud.frappe.io/marketplace/apps/frappe_assistant_core

On self-hosted bench

cd frappe-bench
bench get-app https://github.com/buildswithpaul/Frappe_Assistant_Core
bench --site <your-site> install-app frappe_assistant_core

Connect your LLM

Once installed, the same four steps work for any MCP-compatible client. Example shown for Claude Desktop:

Go to Desk → FAC Admin and copy the MCP Endpoint URL.
In Claude Desktop → Settings → Connectors → Add Custom Connector, paste the URL and click Add.
Click Connect, log in with your ERPNext account, and authorize.
Ask Claude something — for example, "List all customers created this month."

For ChatGPT, Claude Web, and MCP Inspector walkthroughs, see the Getting Started guide.

Skills and Prompt T

... View full README on GitHub

Loading README…

Scored, not listed

Why this score

Five weighted categories — click any category to see the underlying evidence.

Score breakdown

74/100across 5 weighted dimensions

How we score →

0255075100

−26

Security

Maintenance

Efficiency

Documentation

Compatibility

Categoriesclick a row to see evidence

Security

OSV.dev

No known CVEs.

No package registry to scan.

Inventory

Tools (6)

Click any tool to inspect its schema.

~250 tokens total

Community

Reviews

Be the first to review

Have you used this server?

Share your experience — it helps other developers decide.

How easy was setup?Did it work reliably?How was the documentation?

Frequently Asked Questions

Is Frappe_Assistant_Core safe to use?: Frappe_Assistant_Core has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments. Licensed under AGPL-3.0.
How do I install Frappe_Assistant_Core?: Frappe_Assistant_Core can be installed by cloning its GitHub repository and following the setup instructions in the README.
What can Frappe_Assistant_Core do?: Frappe_Assistant_Core provides 6 tools: create_document, search, reporting, analytics, visualization and 1 more. See the full tools list on the server page for descriptions and parameters.
What AI clients work with Frappe_Assistant_Core?: Frappe_Assistant_Core is compatible with claude-desktop, cursor, claude-code. It uses stdio and sse and http transport.
Is Frappe_Assistant_Core actively maintained?: Frappe_Assistant_Core is actively maintained — last commit was 7 days ago. It has 242 GitHub stars.