PetaMCP
Features of PetaMCP
Use Cases of PetaMCP
FAQ about PetaMCP
QWhat is PetaMCP?
PetaMCP is the control plane for MCP that centralizes credential management, permission policies, runtime governance and audit logging.
QWhich problems does PetaMCP solve?
It tackles credential exposure, unauthorized calls, missing approvals, untraceable invocations and fragmented multi-MCP operations.
QHow does PetaMCP manage API credentials?
Secrets are vaulted server-side; clients use gateway tokens, while real credentials are injected at runtime according to policy.
QWhat permission and approval features are available?
Policies by tenant, workspace, environment and role, plus tool whitelists, rate limits and human approval for high-risk operations.
QWhat can be audited?
Access, tool invocations, approvals, decryption and other critical events for troubleshooting, compliance and usage analytics.
QWhich integration methods are supported?
HTTP, SSE, StdIO and streaming modes cover both local and remote integration scenarios.
QWhich teams should use PetaMCP?
Engineering teams managing multiple environments who need secure governance and closed-loop auditing, especially those practicing continuous delivery.
QAre there subscription plans or SLAs?
Public info mentions SLA-backed subscription plans; exact tiers and pricing are available from the official offering.
Similar Tools
MintMCP
MintMCP is an enterprise-grade MCP gateway and governance platform that centrally connects AI agents to external tools, data, and APIs—with built-in access control, audit trails, and full-stack observability.
ACIMCP
ACIMCP is a team-grade MCP Gateway and control plane that lets you connect AI Agents to internal & external tools from one place—complete with RBAC, approvals, and audit-ready logs.
LumiMCP
LumiMCP secures MCP and Agentic AI workflows with an inline proxy that enforces identity, audits every tool call, and governs data leakage, prompt-injection and privilege risks—so teams can adopt external tools without losing visibility or control.
MCP Manager
MCP Manager is an enterprise-grade MCP Gateway that centralizes MCP service onboarding, permission governance, and audit observability—letting teams deploy and operate their AI toolchains in production with confidence.
ObotMCP
ObotMCP is an open-source enterprise platform for onboarding and governing MCP services. It offers hosting, registration, management and real-time observability so teams can build and operate MCP-powered agents and chat apps from a single control plane.
MCPHub
MCPHub is a unified gateway and governance layer for MCP servers. It delivers analysis, attestation, distribution and sandboxed execution so teams can assess risk and enforce policy before anything goes live.
MCPAI
MCPAI turns your existing APIs into governed, production-ready MCP tools—complete with unified orchestration, identity & policy management, so teams can scale standardized AI-tool access without rewriting code.
AlphaMCP
AlphaMCP is an enterprise-grade federated MCP gateway that lets teams plug models, agents, tools and data into existing systems—turning AI pilots into day-to-day operations.
PalmaAI
PalmaAI delivers an enterprise-grade MCP Gateway governance layer that connects AI Agents to MCP services while centralizing policy, approval, auth and audit—so teams can scale Agents without losing control.
Operant AI
Operant AI is an enterprise-grade AI runtime security platform that covers AI apps, Agents, MCPs, APIs and cloud environments—giving teams full asset visibility, real-time risk detection and inline protection.