Reduce MCP context overhead by 6–7x through lazy-loaded tool schemas. For developers integrating multiple MCP servers who need to minimize token consumption without sacrificing tool availability.
io.github.kira-autonoma/context-proxy
Local install
STDIO
No auth required
How models use it and what it is built for.
Reduce MCP context overhead by 6–7x through lazy-loaded tool schemas. For developers integrating multiple MCP servers who need to minimize token consumption without sacrificing tool availability.
Local install — runs as a subprocess.
Where to find authoritative docs and source for Kira Autonoma Context Proxy.
Paste any of these into Agent Studio after connecting Kira Autonoma Context Proxy.
Common questions about connecting and running Kira Autonoma Context Proxy.
What does the context proxy actually do?
It wraps multiple MCP servers and defers loading tool schemas until they're first called, reducing upfront context token cost by 6–7x. Schemas load on-demand, so tools remain fully available without the initial overhead.
How do I install and run it?
Install via `npx mcp-lazy-proxy@0.2.0` and run it as a stdio transport. It acts as a proxy layer between your client and downstream MCP servers, intercepting and deferring schema loads.
Will lazy loading cause latency when I first call a tool?
Yes—the first call to a tool will incur a small latency penalty as its schema loads. Subsequent calls are instant. For most workflows, this trade-off (lower context cost vs. minimal first-call delay) is worthwhile.
Can I use this with multiple MCP servers at once?
Yes, the proxy is designed to sit in front of multiple MCP servers and coordinate lazy loading across all of them, reducing total context overhead for the entire stack.
Is there a performance cost to running the proxy itself?
The proxy adds minimal overhead—it's a thin passthrough layer. The main benefit is context savings; runtime performance impact is negligible for most use cases.
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