Sno Station
Sno Station is your agents' workstation: open-source software that turns the AI agents you already run into one squad on your own machine. Two heads are better than one, and they get better with every
MCP for 1C:EDT
Translation pending
PluginsJava · PythonGitHub @DitriXNewSelf-installOwner unconfirmed
Paste into Claude or ChatGPT for installation instructions suited to your environment.
Have you tried it? One tap is enough. No sign-in needed.
Loading the full README. The saved excerpt is shown below.
Build & Unit Tests, E2E, and MCP Conformance all run on stock GitHub-hosted runners (cloud CI) — no docker image, no self-hosted runner. E2E and Conformance run against EDT 2026.2 (build 2026.2, Eclipse 4.38 / Java 25): the setup step installs a headless EDT of that version on the runner via p2 director. E2E additionally imports the test fixtures into an empty workspace via the plugin's headless bootstrap (EDT_MCP_IMPORT_PROJECTS) and skips the live-infobase tools, so no 1C platform is needed. Each badge reflects its latest run.Read the full README ↗The full README is unavailable right now. Read it at the original link. The saved excerpt is shown below.
Build & Unit Tests, E2E, and MCP Conformance all run on stock GitHub-hosted runners (cloud CI) — no docker image, no self-hosted runner. E2E and Conformance run against EDT 2026.2 (build 2026.2, Eclipse 4.38 / Java 25): the setup step installs a headless EDT of that version on the runner via p2 director. E2E additionally imports the test fixtures into an empty workspace via the plugin's headless bootstrap (EDT_MCP_IMPORT_PROJECTS) and skips the live-infobase tools, so no 1C platform is needed. Each badge reflects its latest run.Read the full README ↗