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 instructions/dipseth/google_workspace_fastmcp2/agents-mdgit clone --depth 1 https://github.com/dipseth/google_workspace_fastmcp2What 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 | $0.02603 | $0.02603 |
| Opus 5 | $0.01301 | $0.01301 |
| Sonnet 5 | $0.00521 | $0.00521 |
| Haiku 4.5 | $0.00260 | $0.00260 |
Grade A, and why
google_workspace_fastmcp2 AGENTS.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 2d 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.
How it starts
The opening of the file, as written. The whole thing — 291 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Google Workspace MCP Server — Agent Guide
Overview
google-workspace-unlimited v2.0.0 is a FastMCP server exposing 96+ tools across 10 Google Workspace services: Gmail, Drive, Docs, Sheets, Slides, Calendar, Forms, Chat, Photos, and People API.
Agents interact through 7 Code Mode tools that discover, compose, and execute the full tool surface from sandboxed Python.
Architecture: Code Mode + Service Tools
Agent / LLM
│
├─ 7 Code Mode Tools (discovery, orchestration, execution)
│ │
│ └─ execute ─► call_tool("send_gmail_message", {...})
│ call_tool("create_event", {...})
│ call_tool("format_sheet_range", {...})
│
└─ 96+ Service Tools (direct MCP tool calls)
│
├─ Gmail (13 tools)
├─ Drive (10 tools)
├─ Docs (4 tools)
├─ Sheets (7 tools)
├─ Slides (5 tools)
├─ Calendar (9 tools)
├─ Forms (8 tools)
├─ Chat (8+ tools)
├─ Photos (8 tools)
├─ People (3 tools)
├─ Qdrant / Search (6 tools)
├─ Email Templates (5 tools)
├─ Module Wrappers (5 tools)
└─ Server Management (4 tools)
Code Mode Tools
These 7 tools are always available (protected from disable) and form the agent's control plane:
| Tool | Purpose |
|---|---|
execute |
Run sandboxed Python with await call_tool() for chaining MCP calls |
search |
BM25 keyword search across tool names and descriptions |
get_schema |
Retrieve full JSON schema for any tool before calling it |
tags |
List all tool tags for filtering by service or capability |
semantic_search |
Qdrant vector search — semantic queries, DSL filters, recommendations |
fetch_document |
Peek at a stored response by point ID (truncated preview) |
tool_activity |
Dashboard of tool usage — call counts, error rates, sample IDs |
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.
- 2d ago First seen · 291 lines · 2,603 tokens per session scan A ab679c5b114f
google_workspace_fastmcp2 AGENTS.md is an instructions file published in the GitHub repository dipseth/google_workspace_fastmcp2 (25 stars, last pushed 2d ago), licensed Apache-2.0. It adds 2,603 tokens to every session, about $0.0130 per session on Opus 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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