MCP Gateway
Inspects every Model Context Protocol request in real time between AI agents and their tools, enforcing least-privilege access and redacting sensitive data.
Picari insights
Enterprise security and engineering teams deploying agentic AI architectures using the Model Context Protocol that require fine-grained access control and data loss prevention between agents and internal tools.
- Securing enterprise deployments of Model Context Protocol (MCP) clients and servers
- Preventing sensitive data exfiltration through LLM agent tool calls
- Enforcing zero-trust and least-privilege policies on autonomous AI actions
- Organizations using monolithic LLM setups without tool-use or agentic workflows
- Environments not utilizing or planning to adopt the Model Context Protocol (MCP) standard
- Teams solely looking for static code analysis or model vulnerability testing
Ask about pricing, alternatives, or if MCP Gateway is right for you.
- Personalized fit analysis
- See relevant alternatives
- Run an evaluation when you're ready
Core capabilities
Common use cases
Govern Shadow AI without blocking legitimate tool use
Maintain audit trails for compliance reviews
Prevent sensitive data exfiltration to external models
Redact credentials, customer records, and payment data in-flight
Things to consider
Every product has trade-offs, and which of them matter depends on your environment, your team and your timeline.
Security & compliance
Frameworks Metomic MCP Gateway reports for security, privacy, and regulatory compliance.
SOC 2 Type II
AICPA security & availability audit
Metomic MCP Gateway pricing and integrations
For Metomic MCP Gateway integration and pricing details, ask Picari. Start a briefing with your question, such as whether it connects to your SIEM, identity provider and ticketing stack, or how it is priced at your seat count and data volume.
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Are you from Metomic? Verify this profileProfile last updated on 24 September 2026 by Picari.