by dunialabs · MCP Server · ★ 52
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Peta Core A control-plane runtime for MCP (Model Context Protocol). Gateway, vault, policy engine, and audit trail for every tool call between AI agents and downstream MCP servers. Supports the core infrastructure components required to run MCP in production: gateway routing, runtime supervision, policy enforcement, credential management, and audit logging. Key guarantees: Credential vault. Secrets stay encrypted at rest (PBKDF2 + AES-GCM) and are injected server-side at execution time. Clients never see raw credentials. Policy engine. RBAC/ABAC with per-user, per-tool capability filtering. Optional human-in-the-loop approval for high-risk operations. Audit trail. Every tool call is logged with caller identity, policy decision, and outcome. Secrets are never included in logs. Managed runtime. Supervises downstream MCP servers with lifecycle controls and automated recovery. Protocol compatibility. Standard MCP upstream, plus downstream compatibility for the shared gateway flows that Peta Core currently supports. Standard server-initiated reverse requests (, , ) are intentionally not exposed in the current shared runtime. Self-hosted. On-premise
| Stars | 52 |
| Forks | 10 |
| Language | TypeScript |
| Category | MCP Server |
| Quality Score | 42.002/100 |
| Last Updated | 2026-06-15 |
| Created | 2025-12-05 |
| Platforms | cli, mcp, node |
| Est. Tokens | ~15k |
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peta-core is The Control Plane for MCP — secure vault, managed runtime, audit trail, and policy-based approvals.. It is categorized as a MCP Server with 52 GitHub stars.
peta-core is primarily written in TypeScript. It covers topics such as aiagent, authentication-middleware, developer-tools.
You can find installation instructions and usage details in the peta-core GitHub repository at github.com/dunialabs/peta-core. The project has 52 stars and 10 forks, indicating an active community.
The top alternatives to peta-core on Agent Skills Hub include mcp-fusion, forgemax, anythingmcp. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.