Secure MCP Infrastructure
for Production AI
Credentials secured. Permissions enforced. Every action audited.
So you can ship AI agents without reinventing security.
The Challenge
What's Blocking MCP Adoption
Critical barriers preventing organizations from deploying MCP at scale
Security Risk
- Credentials exposed in AI context:
API keys visible in LLM memory and config files
- No audit trail for compliance:
Can't track agent actions or prove SOC2/HIPAA controls
- Manual credential rotation:
No automated lifecycle management for secrets
Operational Complexity
- Manual server deployment:
Days to configure each MCP server and API wrapper
- 24/7 idle costs:
Servers run constantly even when unused, wasting budget
- Custom REST integration:
Write and maintain code for every API endpoint
Limited Control
- Binary permissions:
All-or-nothing access with no granular tool-level policies
- No approval workflow:
AI agents run destructive operations without human oversight
- No environment isolation:
Dev agents can accidentally access production systems
The Solution
Complete MCP Infrastructure
Gateway, Control Plane, and Desktop Approvals
Peta Core
Zero-trust MCP gateway intercepting all MCP traffic. The gateway validates requests, enforces policies, and injects credentials at runtime—external keys stay sealed in the encrypted Vault. Includes built-in MCP server orchestration with automatic lifecycle management.
Peta Console
Control plane for managing MCP server lifecycles, RBAC/ABAC policies, and usage analytics. Provides real-time visibility into all MCP operations and resource consumption.
Peta Desk
Desktop application that bundles an MCP client and user-approval interface for ChatGPT, Claude Desktop, and other hosts. Auto-configures local JSON for MCP clients without manual editing.
Benefits
Zero Trust Security for MCP at Scale
Enable teams and AI agents to use MCP tools safely
Zero Secret Exposure
External API keys never leave the vault. Gateway injects credentials at runtime.
Service tokens only, no API keys in clients
Memory-only decryption with immediate cleanup
Automatic rotation without client changes
Granular Permissions
Define access by user, agent, tool, operation, and environment with isolation.
Per-user/agent, per-tool policies
Complete separation between stages
Time, location, and data sensitivity aware
Rapid Scaling
Automatic lifecycle management with 70% cost reduction vs 24/7 operation.
On-demand server pools reduce idle cost
Transform any API in minutes
Scale to new tools instantly
Complete Observability
Every MCP call logged with full context. Export to SIEM for compliance.
Tamper-evident, SIEM-ready logs
Cost allocation per team/project
Alert on unusual patterns
Questions
Everything You Need to Know
Quick answers to help you understand how Peta fits into your workflow
Teams running multiple MCP servers or handling sensitive data through AI agents.
You need Peta if:
- You operate one or more MCP servers
- You want to safely expose your company's knowledge base to AI
- Your AI agents access internal tools or databases
- You need to securely link ChatGPT, Claude, Cursor, or others to critical MCP servers
- You need audit trails for compliance
- You want centralized security without complex setup
Peta turns weeks of manual MCP configuration into a 30-minute deployment with zero-trust security and complete visibility.
Start Building
Secure MCP Infrastructure
Deploy in 30 minutes—complete guide with downloads, setup instructions, and best practices