Conduit: A local MCP gateway that reduces token overhead by ~90%
By
Tyler
Summary
Conduit is a local-first gateway that solves the token inefficiency problem when using multiple MCP (Model Context Protocol) servers with AI tools. Each MCP server loads its entire tool list into the model's context on every request, wasting thousands of tokens. Conduit sits between AI tools and MCP servers, exposing just 3 meta-tools that the agent searches on demand, reducing tool overhead by 97% and cutting token usage by ~90% while maintaining task success rates. It's free, open source, works locally or in the cloud, and stores keys in the OS keychain.
Source
Key quotes
· 5 pulledevery MCP server loads its entire tool list into the model's context on every single request
3 servers cost ~24k tokens before you even say hi
97% less tool overhead per request, ~90% fewer tokens, same task success
Conduit routes them through one local gateway that exposes 3 meta-tools the agent searches on demand
Free and open source
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