Audience

Engineering and platform teams in mid-to-large organizations seeking centralized governance, secure credential management, and policy enforcement for AI agents and MCP-based tool integrations

About Peta

Peta is an enterprise-grade control plane for the Model Context Protocol (MCP) that centralizes, secures, governs, and monitors how AI clients and agents access external tools, data, and APIs. It combines a zero-trust MCP gateway, secure vault, managed runtime, policy engine, human-in-the-loop approvals, and full audit logging into a single platform so organizations can enforce fine-grained access control, hide raw credentials, and track every tool call made by AI systems. Peta Core acts as a secure vault and gateway that encrypts credentials, issues short-lived service tokens, validates identity and policies on each request, orchestrates MCP server lifecycle with lazy loading and auto-recovery, and injects credentials at runtime without exposing them to agents. The Peta Console lets teams define who or which agents can access specific MCP tools in specific environments, set approval requirements, manage tokens, and analyze usage and costs.

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Pricing

Starting Price:
Free
Free Version:
Free Version available.

Integrations

API:
Yes, Peta offers API access
See Integrations

Ratings/Reviews

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Company Information

Peta
United States
peta.io

Videos and Screen Captures

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Product Details

Platforms Supported
Cloud
Training
Documentation
Support
Online

Peta Frequently Asked Questions

Q: What kinds of users and organization types does Peta work with?
Q: What languages does Peta support in their product?
Q: What kind of support options does Peta offer?
Q: What other applications or services does Peta integrate with?
Q: Does Peta have an API?
Q: What type of training does Peta provide?
Q: How much does Peta cost?

Peta Product Features