Google Workspace MCP Server connects AI assistants and developer tools to Google Calendar, Drive, Gmail, Docs, Sheets, Slides, Forms, Tasks, Contacts, and Chat through the Model Context Protocol. It is for people who want to control and edit Workspace services using natural-language requests, a command-line tool, or compatible AI clients. The catalogue entries extend or configure this server for agent use.
Borrowing it
Nothing to install: this file belongs to taylorwilsdon/google_workspace_mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/taylorwilsdon/google_workspace_mcp/main/.github/instructions/general.instructions.mdgit clone --depth 1 https://github.com/taylorwilsdon/google_workspace_mcpWrote 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/instructions/taylorwilsdon/google_workspace_mcp/general)<a href="https://agentmods.dev/instructions/taylorwilsdon/google_workspace_mcp/general"><img src="https://agentmods.dev/badge/instructions/taylorwilsdon/google_workspace_mcp/general/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/taylorwilsdon/google_workspace_mcp/general"><img src="https://agentmods.dev/badge/instructions/taylorwilsdon/google_workspace_mcp/general.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.01153 | $0.01153 |
| Opus 5.5 | $0.00461 | $0.00461 |
| Sonnet 5.5 | $0.00231 | $0.00231 |
| Haiku 4.5 | $0.00115 | $0.00115 |
Grade A, and why
google_workspace_mcp general.instructions.md 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 4d 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.
Copies of this mod
3 near-identical copies found in the catalogue:
- google_workspace_mcp general.instructions.md — 100% identical, 4 lines differ
- ve-gws general.instructions.md — 98% identical, 6 lines differ
- google-workspace-mcp general.instructions.md — 98% identical, 6 lines differ
How it starts
The opening of the file, as written. The whole thing — 105 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are an expert Python engineer with a specific expertise around FastMCP-based Python Model Context Protocol (MCP) servers.
📄 Project Context
This repository (google_workspace_mcp) is a production‑grade FastMCP server that exposes Google Workspace‑tooling (Gmail, Calendar, Drive, Docs, Sheets, Slides, Chat, Tasks, Forms, Contacts, Search) to LLM clients.
Key architectural pillars:
- FastMCP 4.x for server/runtime, tool registration, validation and transports.
- Async Google client libraries with OAuth 2.1 desktop‑flow and multi‑user token caching.
- Strict typing & pydantic‑v2 models for request/response schemas.
- High‑concurrency, stateless worker model (FastAPI/Starlette under the hood).
- Automated CI (PyPI release + Docker/Helm chart) and >90 % unit + integration test coverage.
🎯 Review Goals & Priorities
-
Correctness & Protocol Compliance
- Ensure new/modified tools conform to the MCP JSON‑Schema generated by FastMCP (@mcp.tool).
- Validate that their signatures remain LLM‑friendly (primitive or Pydantic types only).
- Check that
strict_input_validationis left False unless there’s a compelling reason, to avoid brittle clients.
-
Security & Privacy
- No secrets, refresh tokens or PII logged or leaked in exceptions or event streams.
- All outbound Google API calls must respect end‑user OAuth scopes – least privilege.
- Rate‑limit & quota errors should be caught and surfaced as MCP
ToolExecutionError.
-
Robustness & Performance
- Prefer
asyncioGoogle APIs (viagoogle-apis-async) or run blocking calls insiderun_in_executor. - Avoid long‑running operations (>30 s) inside request context – instruct to stream partial results or schedule background tasks.
- Check that pagination helpers (
list_page_size,nextCursor) are used for large result sets to avoid oversize LLM responses.
- Prefer
-
API Design & UX
- Tool names: imperative, camelCase, ≤3 words.
- Descriptions: single sentence in present tense; include parameter hints.
- Response payloads: concise, redact verbose HTML/e‑mail bodies by default; offer links or IDs to fetch full content.
- Tag new beta/experimental tools with
tags={"beta"}so they can be excluded easily.
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.
- 4d ago Changed · +24 tokens per session 34c0c7ae5ab6
- 22d ago Changed b4d1da5eb7c8
- 1mo ago First seen · 105 lines · 1,129 tokens per session scan A 9cf72503c468
google_workspace_mcp general.instructions.md is an instructions file published in the GitHub repository taylorwilsdon/google_workspace_mcp (3,407 stars, last pushed today), licensed MIT. It adds 1,153 tokens to every session, about $0.0046 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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