"Planet" matching MCP servers:

Reliable Codex Desktop automation for long tasks with durable async operations, Plan Mode workflows, and retry-safe task submission.

Enables users to deploy a production-grade control plane for agents, providing a spec-compliant MCP server, scoped tool grants, failure-mode detection, and cost governance.

Open-source, Windows-first control plane for operating local and homelab services through typed MCP servers, featuring 13 servers and 290 tools with infrastructure adapters for Windows, Ubuntu, Docker, and more.

A hardened MCP gateway that lets AI agents securely call infrastructure APIs like Kubernetes, Terraform, and Jenkins, with authentication, rate limiting, and OPA policy enforcement.

Enables AI agents to call deterministic finance and quant APIs (e.g., DCF, Black-Scholes, bond pricing) with per-call payments over x402, no API keys required.

Enables centrally authoring and validating reusable agent guidance and delivering it across MCP-compatible hosts via registry resources, prompt templates, skill execution, and shared state.

Governs AI agent tool calls by checking them against Agentic Control Plane policies, returning allow/deny/ask decisions with audit logging and identity attribution for MCP clients like Claude and ChatGPT. Exposes acp_check and acp_status tools for policy enforcement and connection verification.

Enables human-coordinated multi-agent workflows for Earth-observation research, Cube Chess 512 self-play benchmarking, and reversible visual QA through WebMCP tools with verification and approval gates.