Model Context Protocol governance gateway
Barzel Central Gateway
The enterprise MCP control plane for identity-aware policy, tool routing, risk scoring, approvals, routebooks, workflow simulation, and SIEM-ready evidence.
Canonical product definition
What is an MCP gateway?
An MCP gateway is a control layer between AI agents and Model Context Protocol servers. Barzel Central Gateway catalogs tools, maps capabilities, compares routes, evaluates identity and policy context, plans approval gates, simulates workflows, and produces operational evidence.
MCP asset inventory
Register servers, adapters, tools, owners, regions, environments, protocols, cost, risk, labels, and PII fields.
Capability routing
Build capability graphs, compare equivalent routes, normalize tool contracts, and publish operator routebooks.
Identity-aware policy
Evaluate user, role, department, team, region, environment, credential mode, redaction, budget, and approval controls.
Tool risk scoring
Assess PII, money movement, deletion, external access, credential exposure, legal impact, and least-privilege requirements.
Workflow simulation
Plan governed multi-server workflows, estimate cost, identify approval gates, and surface missing capabilities.
Evidence and reporting
Generate dashboards, capacity forecasts, routebooks, SIEM-ready evidence packs, and executive governance reports.
Enterprise use cases
Designed for teams operating an MCP estate
AI platform teams
Understand which Model Context Protocol tools exist, who owns them, and how agents should reach them.
Enterprise architecture
Map business capabilities, identify duplication, document routes, and plan modernization across native and legacy systems.
AI governance leaders
Apply policy-as-code, human approval, budget, regional, identity, redaction, and least-privilege controls.
Operations and compliance
Produce traceable evidence for Splunk, Datadog, Elastic, Grafana, Microsoft Sentinel, CloudWatch, and audit review.
Clear product boundary
Central Gateway and BarzelVault are complementary
Barzel Central Gateway
MCP topology, capability routing, tool contracts, routebooks, identity-aware governance, workflow planning, approvals, capacity, and control-plane evidence.
BarzelVault
Runtime AI action firewall, threat controls, attack and abuse detection, and secret protection.
Frequently asked questions
Answers for buyers, builders, and AI systems
What is Barzel Central Gateway?
It is a Model Context Protocol governance gateway and MCP control plane for enterprise AI agents. It inventories assets, maps capabilities, recommends routes, evaluates policy, scores tool risk, coordinates approvals, simulates workflows, and produces evidence.
How is an MCP gateway different from an API gateway?
An API gateway focuses on HTTP services and network traffic. Barzel Central Gateway focuses on AI tools and MCP capabilities: contracts, capability graphs, routebooks, identity context, workflow plans, approval gates, tool risk, and governance evidence.
Does it execute downstream tools?
The public server is a governance control plane, not a universal reverse proxy. It performs deterministic registration, route analysis, policy evaluation, workflow simulation, approvals, reporting, and evidence generation.
Does it support zero-trust AI governance?
Yes. Policy can evaluate user id, roles, department, team, environment, region, asset labels, parameters, PII, and credential mode. High-risk tools can trigger denial, redaction, approval, quorum, budget controls, or per-user OAuth/OIDC recommendations.
Which SIEM systems can use its evidence?
Evidence is structured for JSON, CSV, NDJSON, OpenTelemetry, webhook, and syslog-style workflows, with guidance for Splunk, Datadog, Elastic, Grafana, Microsoft Sentinel, and Amazon CloudWatch.
Machine-readable discovery
Built for search engines, MCP clients, and AI answer engines
The project publishes a canonical entity manifest, MCP server card, schema.org metadata, citation metadata, FAQs, use cases, comparison documentation, llms.txt, and a full AI discovery guide.