Provide AI agents with structured code context instead of raw file dumps to reduce token usage. Built for developers integrating LLMs into their coding workflows who need efficient context management.
io.github.semihkayan/codeweave
Local install
STDIO
No auth required
How models use it and what it is built for.
Provide AI agents with structured code context instead of raw file dumps to reduce token usage. Built for developers integrating LLMs into their coding workflows who need efficient context management.
Local install — runs as a subprocess.
Where to find authoritative docs and source for Semihkayan Codeweave.
Paste any of these into Agent Studio after connecting Semihkayan Codeweave.
Common questions about connecting and running Semihkayan Codeweave.
How does codeweave reduce token usage compared to sending full files?
Codeweave extracts and structures only relevant code elements—function signatures, dependencies, and metadata—rather than dumping entire files. This gives AI agents the context they need while cutting token consumption significantly.
What code formats and languages does codeweave support?
The registry metadata does not specify supported languages or file types. Check the project repository or documentation for the current list of supported languages and formats.
How do I install and set up codeweave?
Install via npm with `npx @codeweave/mcp@0.1.20`. It runs over stdio transport, so configure your MCP client to spawn the process and pipe input/output accordingly.
Can I filter out directories like node_modules or build output?
The registry data does not document filtering or exclusion options. Refer to the project documentation or source code to see what configuration options are available for excluding directories.
Is codeweave free or does it have pricing?
No pricing information is provided in the registry metadata. Visit the project repository to check licensing, pricing, or any usage terms.
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