"ERPNext enterprise resource planning software" matching MCP servers:

An MCP server that facilitates interactive software development planning by breaking down projects into manageable tasks, tracking progress, and saving implementation plans.

Enables AI agents to read and operate ERPNext/Frappe systems through HTTP APIs, with safe-mode approval for sensitive operations and complete storage of large request and response payloads.

This is a TypeScript-based MCP server that provides integration with ERPNext/Frappe API. It enables AI assistants to interact with ERPNext data and functionality through the Model Context Protocol.

MCP server for ERPNext that provides full CRUD operations, workflow management, custom fields, and DocType management.

Enables interaction with ERPNext instances via its REST API to manage documents, inventory, and reports. It supports full CRUD operations, submittable document workflows, and schema inspection through natural language.

Provides software design guidance via MCP, including SOLID principles, design patterns, pattern scaffolding, and heuristic code-smell detection to help review and refactor code.

A local MCP server for read-only querying of AWS resources (Lambda, S3) via Boto3, currently exposing a health check tool with planned tools for listing resources and checking free tier.

Enables generic CRUD operations on ERPNext/Frappe DocTypes via MCP tools, allowing users to interact with ERPNext data like documents, reports, and schema through natural language commands.

Estimates physical quantum resources (qubit count, runtime) for quantum algorithms on fault-tolerant hardware through natural language queries.

Enables stdio-capable MCP clients to run governed enterprise operations tasks, including policy/runbook retrieval and ticket and user lookups or writes. High-risk actions are held for human approval and role-based access is enforced server-side, so clients cannot bypass governance.

Provides read-only access to host system metrics (CPU, memory, disk), Docker container health/logs, and sandboxed log file analysis via MCP tools, enabling AI agents to monitor enterprise infrastructure safely.

A production-grade MCP server that gives AI agents safe, authenticated access to a PostgreSQL database.

MCP server for enterprise authentication and authorization — JWT validation, OIDC token inspection, OAuth 2.0 introspection, and role-based access control for AI agents.

Enables AI assistants to manage social media accounts and CRM operations, including posting, analytics, inbox management, and customer management.

A Model Context Protocol (MCP) server for Chrome Enterprise Premium that exposes DLP rules, content detectors, connector policies, browser telemetry, and license management as MCP tools, enabling any MCP-compatible AI agent to inspect and configure a Chrome Enterprise environment.

Serves reusable SDLC agent roles and review checklists over MCP, enabling AI coding agents to execute structured product analysis, solution architecture, code review, and release management tasks in GitHub-first projects.

A production-ready framework for building enterprise-grade MCP servers featuring integrated OAuth 2.0 authentication and modular architectural patterns. It simplifies the creation of secure, standardized tools that allow AI assistants to interact with complex upstream platforms like Salesforce and NetSuite.

Integrates with ERPNext/Frappe API to enable AI assistants to create, read, update, and list documents, run reports, and authenticate via the Model Context Protocol.

Enterprise-grade Slack integration with compliance audit trails for AI agents. Every action is logged locally for governance, regulatory compliance, and security review.

MCP server that computes trust scores, permission decisions, and silent-failure risk for AI agents with tools for reliability scoring, silent failure detection, permission evaluation, and audit report generation.