webmachinelearning/webmcp has 27 source lines of code out of 1,212 total lines across 12 files, counted from the main ref at commit 51ed75653aaa by the OctoCounts tokei engine on 2026-10-21. The report is cached by commit, tokei version, and analysis options, so recounting the same revision returns exactly these numbers.
As of 2026-10-21 (commit 51ed75653aaa), webmachinelearning/webmcp contains 1,212 total lines: 27 code, 843 comments, 342 blank, across 12 files in 4 languages (top: Makefile 55.6%). Custom configuration (tests excluded, docs excluded, generated excluded). Counted with tokei via OctoCounts.
OctoCounts produced this report by resolving webmachinelearning/webmcp to commit 51ed75653aaa, downloading the repository source archive, and counting every source file with tokei, the open-source line counter written in Rust. The table below breaks the count down by programming language into files, total lines, code lines, comment lines, and blank lines, so the figures can be compared across languages and projects. Results are cached by commit, tokei version, and analysis options, so counting the same revision again reproduces exactly these numbers.
This is a small codebase by counted code lines. Code represents 2.2% of all lines, comments represent 69.6%, and the repository averages 2 code lines per file. Makefile accounts for 55.6% of counted code.
| Language | Files | Lines | Code | Comments | Blanks |
|---|---|---|---|---|---|
| Makefile | 1 | 23 | 15 | 3 | 5 |
| SVG | 3 | 7 | 7 | 0 | 0 |
| JSON | 1 | 5 | 5 | 0 | 0 |
| Markdown | 7 | 1177 | 0 | 840 | 337 |
Top language (Makefile 55.6%). Generated at .
webmachinelearning/webmcp has 1,212 total lines, including 27 code lines, 843 comment lines, and 342 blank lines.
OctoCounts resolved the public GitHub repository to commit 51ed75653aaa, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.
This OctoCounts report was generated from main at commit 51ed75653aaa on 2026-10-21T03:07:47.848770861+00:00.
Other public repositories with an OctoCounts report, ranked by top language and code size similarity:
Play the growth animation for webmachinelearning/webmcp on this page — 27 code lines across 4 languages, counted by tokei.