"ERPNext enterprise resource planning software" matching MCP servers:

Enables LLMs to list, open, and close installed software on Windows, macOS, and Linux through natural language.

Centralized MCP server that provides standardized development workflow commands to Cursor AI, auto-detecting project type (Laravel, Next.js, Flutter, Architecture) and offering relevant commands for implementation, testing, and commits.

MCP server for TQS structural engineering CAD/analysis software, enabling Claude to read building models, extract drawing data, run structural processing, and script against the TQS API.

An enterprise-grade MCP server for FTP and SFTP operations optimized for AI coding assistants, featuring smart synchronization, connection pooling, and unified diff patching.

Enables AI agents to invoke a local Stata installation, including a Windows Stata build under Wine on Linux and macOS, for regression analysis, econometrics, paper replication, and empirical research with command guards, resource monitoring, and automatic log capture.

Automates Spine asset pipeline tasks such as export, texture packing, resource validation, and file summarization through the Spine CLI.

Creates short-lived, offline JavaScript sandbox containers for safe code execution via MCP, with no network access and strict resource limits.

A secure MCP server for executing whitelisted shell commands with resource and timeout controls, designed for integration with Claude and other MCP-compatible LLMs.

Enables secure SSH command execution on remote servers and local PowerShell automation through Claude Desktop. Features enterprise-grade security with SSH key authentication, network scanning, and comprehensive logging for Windows and Linux system administration.

Exposes the Antigravity CLI to MCP clients for structured planning, code review, test validation, general prompts, and literal slash commands against Google Gemini models.

A secure terminal execution server that enables controlled command execution with security features and resource limits via the Model Context Protocol (MCP).

An MCP execution layer that lets capable AI models safely control a developer workstation for file edits, terminal and process execution, Git operations, language-server analysis, browser and Windows UI automation, media processing, job/resource control, and checkpointing. It also coordinates durable single- or multi-agent tasks across providers with leases, dependency graphs, evidence logs, repair loops, and separate verification gates.

Enables administrators to manage a single standalone VMware hypervisor through 63 stdio tools covering virtual machine operations, host-resource controllers, guest operations, OVF workflows, background file transfers, durable operation tracking, and optional command-line administration.

Python MCP server for Oasys GSA COM API, enabling users to interact with GSA structural engineering software via COM automation on Windows.

Enables AI assistants to remotely control multiple computers via MCP: run commands, manage files, install software, view and control screens, and execute parallel tasks across machines.

Enables Claude Code to orchestrate AI team tasks by delegating simple work to free models (Mimo, OpenCode) and using Claude for planning and review, all via MCP tools like command execution and AI queries.

A cheap, fast execution layer for MCP agents that delegates file reads, edits, and command runs to a local DeepSeek Harness, reducing cost and latency while keeping the parent agent in control of planning and reasoning.

Provides agentic MCP tools for the Flux Framework, enabling job submission, management, and resource scheduling for HPC workloads.

Enables interaction with EPICS (Experimental Physics and Industrial Control System) process variables through natural language. Supports reading PV values, setting PV values, and retrieving detailed PV information for monitoring and controlling hardware or software parameters.

Enables Claude Code to interact with Abaqus FEM software for model generation, job submission, log monitoring, and result extraction from ODB files.