"ERPNext enterprise resource planning software" matching MCP servers:

Enables deploying production-ready MCP servers with built-in authentication, rate limiting, data desensitization, audit logging, and session isolation, ready for Kubernetes.

Production-grade MCP Gateway in Go featuring dynamic OpenAPI tool registration, RBAC governance, in-flight PII/DLP redaction, and structured JSON audit logging.

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.

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

Enables natural-language querying of simulated HR data through a safety-gated MCP tool layer, routing questions to SQL or policy document retrieval with PII masking, role-based access, and an offline evaluation harness.

An MCP server exposing scoped, read-only enterprise operations tools with fail-closed credential handling. It returns opaque approval IDs for mutations and requires a separate operator approval command to release one-time capabilities.

Enables secure enterprise integration by bridging SQL, financial, SCADA, and document backends to LLM agents with RBAC, DLP redaction, human-in-the-loop approvals, and OpenTelemetry tracing.

An enterprise MCP server scaffold that provides secure, governed access to internal tools through RBAC, audit logging, rate limiting, and prompt-injection boundaries, with a FastAPI control plane and OpenTelemetry observability.

Enables AI agents to securely access and act on CRM, order, support, and automation systems through the Model Context Protocol, with authentication, authorization, audit logging, and guardrails.

Enables controlled AI-agent access to enterprise-shaped tools with a deny-by-default gated write path, human approval, dry-run execution, and append-only audit logging.

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

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.

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.

Enables security analysts and engineers to triage incidents, audit vulnerabilities, query multi-cloud telemetry, inspect network infrastructure, and automate ITSM remediations through natural language.

MCP server for regulated enterprises, providing per-tool RBAC, redacted audit logging, and structured error handling. Exposes bank tools for customer lookup, statement search, and dispute resolution over stdio and HTTPS transports.

Enables secure tool discovery and execution on AWS Lambda with role-based access control, command injection defense, and sensitive data redaction, allowing managed CloudWatch log queries and Terraform operations through a standard MCP interface.

Enables secure cross-system identity and token exchange for autonomous agents, including on-behalf-of token exchange, scoped permission delegation, token lifetime refresh, and zero-leakage ephemeral credentials. It integrates with MCP-compatible clients via standard JSON-RPC stdio without external runtime dependencies.

Enables agents and applications to scan text streams for personally identifiable information, financial account numbers, JWT tokens, and cryptographic keys, returning sanitized output with deterministic zero-leakage masking. It runs as a zero-dependency MCP stdio server or importable Python module so regulatory compliance policies (GDPR/HIPAA-style) can be enforced on data before it leaves a workflow.

Enables cryptographic chunk hashing, reverse claim-to-source attribution, clearance boundary validation, and provenance audit trails for enterprise knowledge graphs to combat hallucinations.

Enables detection and deterministic masking of personally identifiable information, financial account numbers, JWT tokens, and cryptographic keys so sensitive data can be sanitized before further processing. Runs as a zero-dependency Python MCP server over JSON-RPC 2.0 stdio for use in Claude Desktop, Cursor, and other MCP-compatible clients.