A local MCP gateway that compresses multiple upstream servers into two tools, search and execute, to minimize model context usage. It provides a compact, code-driven interface for discovering and calling tools across various upstream sources on demand.
MCP context gateway that fronts your upstream MCP server(s): the model sees a bounded ChoiceCard shortlist instead of every tool schema, and large tool results are firewalled into compact summaries plus artifact handles. Deterministic, with no model in the loop.
Exposes runtime-local capabilities from browsers, apps, devices, and local processes to AI agents through a unified MCP bridge, enabling path-based discovery and invocation of live context.
A browse-first MCP middleware that provides an LLM-friendly catalogue for discovering and invoking tools across multiple upstream MCP servers, reducing context overhead.
A single MCP server gateway that reduces context bloat by providing progressive tool discovery and invocation, dynamically provisioning downstream servers on demand.
Lightweight Model Context Protocol gateway that exposes one entry point for multiple downstream MCP services, enabling efficient tool discovery and routing.
