"ERPNext enterprise resource planning software" matching MCP servers:

Provides AI agents with a hardened code security scanner via scan_code and scan_path, detecting leaked secrets and insecure patterns while enforcing strict path confinement and resource bounds.

Connects LLMs to BloodHound Enterprise for natural language attack path analysis, Cypher queries, and exploration of Active Directory, Azure/Entra ID, and OpenGraph environments.

AI-powered penetration testing reasoning engine (MCP server) for attack path planning, step scoring, and tool recommendations using Beam Search and Monte Carlo Tree Search.

MCP server providing diagnostic tools to analyze software architecture, security, REST API compliance, and dependencies for multiple programming languages. Enables AI agents to run scans and audits on codebases.

Enterprise-grade Azure security assessment toolkit with multi-location scanning, IMDS exploitation, attack path analysis, and compliance reporting. Enables authorized penetration testing and compliance audits across all Azure regions.

A security-focused server that integrates with Cursor IDE to provide real-time vulnerability detection, exploit generation, and security insights during software development.

Enterprise-grade zero-dependency security shield and runtime governance engine for MCP servers, providing OWASP MCP Top 10 audits, cryptographic tool call signing, AIBOM generation, and inline parameter firewall protection.

An AI-powered penetration testing reasoning engine that provides automated attack path planning, step-by-step guidance for CTFs/HTB challenges, and tool recommendations using Beam Search and MCTS algorithms.

Enables AI-assisted vulnerability management by connecting Claude Desktop to local Nessus and Tenable Vulnerability Management, allowing natural-language queries for scan management, threat intelligence enrichment, and prioritized remediation planning.

The Checkmarx Security MCP server bridges your AI assistant (Claude, Cursor, Copilot, etc.) with Checkmarx One's enterprise application security platform. It exposes security workflows as natural-language-accessible MCP tools, allowing developers to scan code, investigate findings, and receive context-aware fixes without leaving their development environment.

Enables LLM-driven security assessments by exposing Kali tools like nmap, httpx, sqlmap, and ffuf as MCP tools, with explicit planning, parallel tool calls, tiered memory, MITRE ATT&CK mapping, and human approval gates for intrusive operations.

Enables AI assistants to query the Vulners vulnerability database for CVEs, security bulletins, and software package audits through natural language.

Enables AI agents to orchestrate 100+ security tools over MCP for authorized penetration testing, including recon, scanning, exploitation, attack-chain planning, and knowledge-base retrieval.

Enables searching the NIST NVD for CVEs, retrieving full CVE details, checking software for known vulnerabilities, and searching the CPE database.

It lets an AI assistant call on a separate configured model for bounded, one-at-a-time adversarial checks — pressure-testing early ideas and claims, tracing failure paths, examining documents for structural weaknesses, exploring abuse paths, and proposing experiments — across planning, product, procedure, technical, and security work. The calling assistant stays in charge, deciding which returned criticisms the supplied material actually supports and discarding the rest.

Integrates 7 security tools (nmap, nuclei, dirsearch, sqlmap, hydra, Acunetix, Metasploit) via MCP protocol for AI-assisted penetration testing with enterprise-grade safety features.

A local Python MCP server for safe, human-led bug bounty recon, providing lightweight helpers for scope checks, headers, robots.txt, sitemap.xml, JavaScript URL collection, endpoint extraction, URL deduplication, evidence notes, and manual test planning.

Enterprise security gateway, deterministic policy engine, and passive vulnerability scanner for Model Context Protocol.

A model-neutral cyber capability brain for AI agents and human researchers, providing MCP tools for knowledge ingestion, composition, campaign planning, fleet management, evidence binding, and discovery replay.

An enterprise-grade MCP server for AI-powered reverse engineering. Enables AI agents to perform comprehensive binary analysis through natural language commands.