ginialtech-mcp
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@ginialtech-mcpShow me the project conventions and protected files"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
ginialtech-mcp
MCP (Model Context Protocol) server for GINIALTECH projects. Enforces conventions, protects critical files and provides project context to AI agents.
Tools
get_project_context
Reads AI_CONTEXT.md from the current project and returns its contents. Searches in the project root first, then in docs/.
get_protected_files
Returns the list of files that should never be modified without explicit confirmation from the developer.
validate_conventions
Returns the mandatory conventions for all GINIALTECH projects:
Package manager:
bunexclusivelyCode and comments: English
Plans, tasks and communication: Spanish (Argentina)
Always plan before executing
Never modify protected files without confirmation
Related MCP server: vaporcheck
Requirements
Bun >= 1.0
Installation
git clone https://github.com/marcelaborgarello/ginialtech-mcp
cd ginialtech-mcp
bun installUsage with Antigravity (Google AI Studio)
Add this to your mcp_config.json inside the mcpServers object:
"ginialtech-mcp": {
"$typeName": "exa.cascade_plugins_pb.CascadePluginCommandTemplate",
"command": "/absolute/path/to/bun",
"args": [
"run",
"/absolute/path/to/ginialtech-mcp/src/index.ts"
],
"env": {}
}On Windows, use double backslashes:
C:\\Users\\youruser\\...
To find your bun path:
which bun # macOS/Linux
where bun # WindowsUsage with Claude Code / Cursor
Add to your MCP config:
"ginialtech-mcp": {
"command": "bun",
"args": ["run", "/absolute/path/to/ginialtech-mcp/src/index.ts"]
}Project structure
ginialtech-mcp/
src/
index.ts ← MCP server and tools
package.json
tsconfig.json
README.mdLicense
MIT — GINIALTECH
This server cannot be deployed
Maintenance
Related MCP Connectors
Project registry, behavioral specs, and engineering threads for AI coding agent workflows.
Research-backed linting + generation for agent context files (CLAUDE.md, AGENTS.md, Cursor rules).
Generate and validate a .specs/ bundle for your repo, then hand it to your AI coding agent
Path-scoped team memories, rules and skills for Claude Code, Cursor, Codex and other MCP clients.
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