markifact-mcp GEMINI.md

Instructions for using Markifact, an MCP server that exposes marketing operations across advertising, analytics, commerce, customer-management, and communication platforms.

In plain words
What is it for?
Discovering and executing supported marketing operations, checking connected accounts, and retrieving files produced by those operations.
Why use it?
They define the order for finding an operation, checking its inputs, and running it, including when user approval is required for changes.

Instructions file for Gemini CLI

Install

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.

agentmods
npx agentmods add instructions/markifact/markifact-mcp/gemini-md
Clone the repo
git clone --depth 1 https://github.com/markifact/markifact-mcp

Made for: Gemini CLI.

Per session 838 This file is loaded in full into every session.
When invoked 838 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00838 $0.00838
Opus 5 $0.00419 $0.00419
Sonnet 5 $0.00168 $0.00168
Haiku 4.5 $0.00084 $0.00084

Measured 2d ago against content hash 6834fc3bafdd, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

markifact-mcp GEMINI.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.

GEMINI.md · 59 lines

How it starts

The opening of the file, as written. The whole thing — 59 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Markifact

You have access to the Markifact MCP server at https://api.markifact.com/mcp. It exposes 8 meta-tools that let you run 1000+ marketing operations across Google Ads, Meta Ads, GA4, DV360, Shopify, HubSpot, TikTok, LinkedIn, Pinterest, Snapchat, Microsoft, Amazon, Reddit Ads, Klaviyo, Slack, and more.

The 8 tools

  • find_operations(query) — search the operation registry. Always call this first. Each result includes a requires_approval flag.
  • get_operation_inputs(operation_id) — get required + optional input fields.
  • run_operation(operation_id, inputs) — execute an op with requires_approval: false. No confirmation needed.
  • run_write_operation(operation_id, inputs) — execute an op with requires_approval: true. Always confirm with the user first.
  • list_connections() — list authenticated platform logins. Connections auto-resolve to the user's default — only call this when the user has multiple logins on a platform or names a specific one.
  • get_file_url(file_id) — signed URL for a Markifact-stored file. Always use this when sharing a file with the user; embed via Markdown.
  • read_file(file_id) — read a file the user uploaded or an op produced.
  • upload_media(...) — upload an image or video as a creative asset (no other file types).

Discover → Inspect → Run

Never invent operation IDs. Never guess input field names. Always:

  1. find_operations("plain english intent") — read the requires_approval flag on each result.
  2. get_operation_inputs(chosen_id).
  3. Dispatch by the flag: requires_approval: falserun_operation(...); requires_approval: truerun_write_operation(...) after the four-step safety protocol.

Connection vs account

  • A connection is an OAuth login (e.g. [email protected]). One connection can hold many ad accounts. Auto-resolved — do nothing about it by default.
  • An account is a specific ad account (Google Ads CID, Meta ad account). Always resolve via the platform's *_select_accounts op (substring match on the account name).

Read the full file on GitHub · 59 lines

Changes

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.

  1. 2d ago First seen · 59 lines · 838 tokens per session scan A 6834fc3bafdd

Subscribe to this mod's changes

markifact-mcp GEMINI.md is an instructions file published in the GitHub repository markifact/markifact-mcp (48 stars, last pushed 14d ago), licensed MIT. It adds 838 tokens to every session, about $0.0042 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.

Related

Other instructions, from other repositories