ginialtech-mcp
Enforces GINIALTECH project conventions and protects critical files while providing project context to AI agents. It ensures adherence to specific language requirements and the use of Bun as the exclusive package manager.
README
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:
bunexclusively - Code and comments: English
- Plans, tasks and communication: Spanish (Argentina)
- Always plan before executing
- Never modify protected files without confirmation
Requirements
- Bun >= 1.0
Installation
git clone https://github.com/marcelaborgarello/ginialtech-mcp
cd ginialtech-mcp
bun install
Usage 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 # Windows
Usage 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.md
License
MIT — GINIALTECH
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.