The Control Plane for MCP — secure vault, managed runtime, audit trail, and policy-based approvals.
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"peta-core": {
"command": "<see-readme>",
"args": []
}
}
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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.
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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:
sampling, roots, elicitation) are intentionally not exposed in the current shared runtime.Quick Start | Website | Documentation

Peta Core sits between MCP clients (Claude, ChatGPT, Cursor, n8n, or any MCP-compatible client) and downstream MCP servers. From the client's perspective, it connects to a single MCP server. Behind that endpoint, Peta Core routes to multiple downstream servers using standard MCP for the shared forward-request flows it supports.
Peta Core is one component of the Peta MCP stack:
This repository contains only Peta Core. See docs.peta.io for the full stack.
serverId::toolName)./mcp/public, while authenticated traffic continues on the standard /mcp endpoint, with configurable anonymous rate limits.CustomStdio execution. In Docker deployments, non-docker stdio commands are transparently executed inside petaio/mcp-runner:latest; explicit docker commands keep their original behavior.SKILL.md metadata. Served as namespaced MCP tools, isolated by server ID.