BarzelVault MCP - AI Action Firewall for Enterprise AI Agents

BarzelVault MCP is a single, quality-optimized Model Context Protocol server for securing autonomous AI agents before they execute real-world actions. It is designed for AI action firewalling, LLM tool governance, human approvals, policy enforcement, audit integrity, compliance reporting, tenant isolation, threat detection, and production-grade AI agent operations.

Instead of exposing 246 narrow tools that overwhelm LLM tool selection, BarzelVault now exposes a focused 30-tool manifest. The original catalog functionality is preserved inside 18 domain controller tools through explicit operation enums, so agents get stronger discovery, lower latency, and better tool-calling accuracy without losing coverage.

Core features

• AI action firewall: request, evaluate, simulate, classify, allow, block, sanitize, redact, explain, approve, and execute AI actions.
• Policy governance: create, update, validate, publish, roll back, compare, test, and explain policy bundles.
• Approval workflows: pending queues, approvals, rejections, escalation, delegation, comments, history, SLA analysis, and separation-of-duties review.
• Audit integrity: tamper-evident audit logs, chain verification, signatures, gaps, exports, retention, and audit reports.
• Compliance reporting: SOC 2, GDPR, ISO 27001, evidence collection, control mapping, remediation, and executive summaries.
• Asset governance: APIs, databases, payments, files, admin tools, owners, risk profiles, policy links, and asset activity.
• Identity and tenant controls: RBAC, permissions, service accounts, API keys, tenant isolation, and privileged access review.
• Anomaly and incident response: behavioral risk, privilege misuse, data exfiltration risk, incident timelines, containment, and post-incident reports.
• Guardrails and data protection: PII scanning, secret detection, sensitive data classification, consent, deletion, export, and anonymization workflows.
• Observability, resilience, integrations, configuration, threat intelligence, testing, red-team evaluation, and business reporting.

Optimized MCP discovery manifest

• 30 MCP tools total: 12 production-backed tools plus 18 consolidated domain controllers.
• 25 static MCP resources for dashboards, actions, policies, approvals, audit, compliance, assets, identity, anomalies, incidents, guardrails, execution, observability, MCP protocol, integrations, configuration, threats, and testing.
• 17 MCP resource templates for action, policy, approval, audit, evidence, asset, tenant, anomaly, incident, trace, session, integration, threat review, and simulation detail pages.
• 21 MCP prompts: 18 comprehensive prompt families plus 3 compatibility prompts.
• Every discovered tool includes example_prompt and example_args.
• Every discovered resource and resource template includes examples.
• Every discovered prompt includes example arguments.
• Primary MCP transport is streamable_http JSON-RPC on /mcp. Legacy SSE endpoints remain only for backward compatibility.

Plan access

Starter is for teams beginning governed AI execution with core firewall workflows, policy management, audit evidence, simulation, testing, and basic observability. Growth adds production governance with approvals, compliance reporting, asset governance, identity review, anomaly monitoring, incident response, data protection, integrations, and threat intelligence. Business opens full production governance with execution resilience, configuration control, circuit breakers, retry and replay workflows, advanced observability, business reporting, and higher usage. Enterprise adds custom scale, dedicated onboarding, unlimited governance usage, organization-wide controls, procurement review, and custom enterprise integrations.

Search and GEO keywords

AI action firewall, MCP security server, Model Context Protocol security, LLM tool governance, AI agent governance, autonomous agent security, AI guardrails, secure tool calling, policy enforcement MCP, human approval workflow, SOC 2 evidence automation, GDPR AI governance, ISO 27001 AI controls, audit log integrity, tamper-evident audit logs, prompt injection defense, secret scanning, PII detection, DLP for AI agents, tenant isolation, zero trust AI, risk scoring, AI compliance reporting, threat intelligence for AI agents, incident response for AI actions, enterprise AI security, AI workflow governance, MCP marketplace security tool.