Serves as a single local MCP entry point that proxies configured upstream MCP tools to multiple coding agents, keeps sessions warm, serializes exclusive services, and provides SQLite-backed task, lock, and memory tools.
A meta-MCP server that aggregates and proxies other MCP servers, letting LLMs search for, add, configure, enable, disable, and bundle backend servers at runtime. Tools from those servers are automatically exposed under unified prefixes, with persistent configuration, health checks, and support for stdio, HTTP, and hybrid transports.
Local MCP server that exposes fixed tools for GPT, Claude, and Gemini while routing to any OpenAI-compatible chat completions backend with independent configuration per target.
Fronts many downstream MCP servers through one session, presenting a unified tool namespace with collision resolution, fleet-wide allow/deny/hide policy, per-tool rate limits, centralized audit logging, Prometheus metrics, and bearer-key auth at the edge. Supports both stdio drop-in and Streamable HTTP deployment so agents point at a single endpoint instead of N servers.
The Forge Engine runtime: a thin, MIT-licensed proxy that connects any MCP client to Forge — the design spec AI coding agents read before building and report back to. Serves the full 54-tool surface; discovery works signed out, tool calls authenticate.