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var-gg/mcp

by Various

πŸš€ Project Meta Management MCP - Manage standard variable names and constants per project and integrate with LLM through Model Context Protocol

V

MCP

var-gg/mcp

Added 1 June 2026

Overview

var-gg/mcp is a Model Context Protocol server for managing standard variable names and constants per project. It integrates with LLMs to enforce naming conventions and provide consistent constants during code generation. The tool is designed for developers who want to maintain naming discipline across their codebases.

Best for

Best for
Developers who want to enforce consistent naming conventions in LLM-assisted development workflows

Use cases

  • Enforce consistent variable naming conventions across a project
  • Define and share project-wide constants for LLM-assisted coding
  • Integrate naming rules into an LLM workflow via the Model Context Protocol

How to use

Tools exposed

  • projects
  • create_project
  • update_project
  • open_project_admin
  • search_variables
  • create_variables
  • list_variables
  • remove_variables

Tested with

Cursor

Example client config

{\n  "mcpServers": {\n    "vargg": {\n      "url": "https://var.gg/mcp/ko/project",\n      "headers": {\n        "X-API-KEY": "your-api-key-here"\n      }\n    }\n  }\n}

Notes

var-gg/mcp is a Model Context Protocol server for managing standard variable names and constants per project. It integrates with LLMs to enforce naming conventions and provide consistent constants during code generation. The tool is designed for developers who want to maintain naming discipline across their codebases.

4 stars on GitHub. Last updated 2025-11-04.

Use cases

  • Enforce consistent variable naming conventions across a project
  • Define and share project-wide constants for LLM-assisted coding
  • Integrate naming rules into an LLM workflow via the Model Context Protocol

Pros

  • Focused on a specific pain point: naming consistency
  • Leverages the MCP standard for LLM integration
  • Lightweight and straightforward to set up

Cons

  • Low community adoption (4 stars on GitHub)
  • Limited scope: only manages variable names and constants
  • Requires manual configuration per project

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Focused on a specific pain point: naming consistency
  • Leverages the MCP standard for LLM integration
  • Lightweight and straightforward to set up

Cons

  • Low community adoption (4 stars on GitHub)
  • Limited scope: only manages variable names and constants
  • Requires manual configuration per project
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