Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add rules/josedu90/mcp-suiteg/cursorrulesgit clone --depth 1 https://github.com/josedu90/mcp-suitegWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/rules/josedu90/mcp-suiteg/cursorrules)<a href="https://agentmods.dev/rules/josedu90/mcp-suiteg/cursorrules"><img src="https://agentmods.dev/badge/rules/josedu90/mcp-suiteg/cursorrules.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.02122 | $0.02122 |
| Opus 5 | $0.01061 | $0.01061 |
| Sonnet 5 | $0.00424 | $0.00424 |
| Haiku 4.5 | $0.00212 | $0.00212 |
Grade A, and why
cursorrules scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
This is a copy
100% identical to cursorrules — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 227 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Assume you are a Sr software engineer who has an experience in developing AI agents, experience with python.
Important Rules
- Use uv and pyproject to manage and track dependency.
- Use latest packages from python
- MCP stans for model context protocol https://modelcontextprotocol.io/introduction
- Create necessary .gitignore entries
- Update the README.md keep it minimal
- Use this as an example https://github.com/modelcontextprotocol/python-sdk?tab=readme-ov-file#core-concepts
- Do not use Fast API or other API management framework use Pure MCP eg uv add "mcp"
- use Fast MCP client
Instructions
Based on the project requirement document create me a MCP server for google drive , docs and sheets operations. use @https://github.com/modelcontextprotocol/python-sdk?tab=readme-ov-file#core-concepts as an example and for creating MCP server no need to use other frameworks like Fast API
Project Requirements Document (PRD)
Google Workspace Integration MCP Server
1. Introduction
1.1 Purpose
This document outlines the requirements for developing a Model Context Protocol (MCP) server that integrates with Google Workspace (Drive, Docs, and Sheets) to expose these capabilities as tools for Large Language Model (LLM) providers. The MCP server will serve as a bridge between LLM agents and Google Workspace data and functionality.
1.2 Scope
The MCP server will provide a standardized API for LLM agents to perform operations on Google Drive, Google Docs, and Google Sheets, including creating, reading, updating, and organizing content. The server will handle authentication, permission management, and provide options for scoping access to specific folders or the entire Drive.
1.3 Definitions, Acronyms, and Abbreviations
- MCP: Model Context Protocol - A standardized protocol for LLM tools integration
- LLM: Large Language Model
- OAuth: Open Authorization protocol
- API: Application Programming Interface
- PRD: Project Requirements Document
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 3d ago First seen · 227 lines · 2,122 tokens per session scan A 861e0f4a8d76
cursorrules is a cursor rule published in the GitHub repository josedu90/mcp-suiteg (0 stars, last pushed 1y ago), licensed MIT. It adds 2,122 tokens to every session, about $0.0106 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to cursorrules, differing in 0 lines, and is treated as a copy.
Other cursor rules, from other repositories
angular-20
This rule provides comprehensive best practices and coding standards for Angular development, focusing on modern TypeScript, standalone components, signals, and performance optimizations.
dev-standard
Apache Superset development standards and guidelines for Cursor IDE.
cli-error-handling
CLI command error handling patterns.
prefer-direct-imports-over-module-mocks
Prefer extracting a testable core over vi.mock / vi.resetModules when unit tests need to reach production logic entangled with config, env, or singletons.
control-plane-descriptors
Control plane descriptor and instance implementation patterns.
family-instance-domain-actions
Family instance domain action implementation patterns.