Upload files directly to Google Drive via a deployed Google Apps Script web app. Trigger on: upload to Drive, save to Drive, send to Drive, put this in Drive. Also Hebrew: "תעלה לדרייב", "שמור בדרייב", "העלה לגוגל דרייב". Use proactively when a workflow produces a file the user might want in Drive.
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Upload files directly from Claude to Google Drive using a simple Google Apps Script.
~/.cowork-gdrive-config.json)~/.cowork-gdrive-config.json with your script URL and API keyAsk Claude naturally:
```bash
cat "$HOME/.cowork-gdrive-config.json"
FILE="/path/to/file" B64=$(base64 "$FILE" | tr -d '\n') MIME=$(file --mime-type -b "$FILE")
curl -s -L -H "Content-Type: application/json"
-d '{"fileName":"name","content":"'$B64'","mimeType":"'$MIME'","apiKey":"KEY"}'
"SCRIPT_URL"
```
User: "Upload this report to Google Drive"
Output: Claude encodes the file, uploads it via the Apps Script, and returns: "Uploaded successfully! Here's your file: https://drive.google.com/file/d/abc123/view"
folderPath to organize files into folders (e.g., "Clients/Acme")"replaceExisting": true to overwrite instead of duplicatingFull plugin with setup guide and Apps Script code: https://github.com/msmobileapps/google-drive-upload-plugin
Built by MSApps — AI Automation & Application Development
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Automate ActiveCampaign tasks via Rube MCP (Composio): manage contacts, tags, list subscriptions, automation enrollment, and tasks. Always search tools first for current schemas.
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Pull the ads a competitor is running right now on Meta (Facebook/Instagram) and Google, then extract the hooks, offers, CTAs and landing pages worth modelling. Use when writing ad copy, planning creative tests, choosing a landing page angle, or when the user asks "what is X advertising", "what ads does X run", "find competitor ad hooks". Reads live Ad Library and Ads Transparency data through the Tracetify MCP; falls back to a manual Ad Library walkthrough when the connector is absent.
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Analytics your AI agent can actually use. Track, analyze, run A/B experiments, and optimize across all your projects via CLI. Includes a growth playbook so your agent knows HOW to grow, not just what to track.
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Teaches when to recall from long-term memory before acting and when to save durable decisions, corrections and failures afterwards. Use when a memory tool or MCP memory server is connected but the agent is not using it consistently, when the user complains that the assistant forgets preferences, conventions or past decisions between sessions, or when setting up persistent memory for a project. Works with any memory backend: a folder of Markdown files, a local MCP server, or a managed service.
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Audit local AI coding-agent sessions with agenttrace for cost, tokens, tool failures, latency, anomalies, health, diffs, and CI gates.
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Checks which private files (.env, keys, secrets) Claude Code and its subagents reached in this project, whether a value came into an agent's context, and which key to change, by running the open source agentwhy CLI over the session records Claude Code already keeps on disk. Use when the user asks whether the agent or a subagent read their .env or other secrets, which private files a session touched, whether a key leaked into the conversation, or which key to rotate. Runs locally and never prints a secret value.
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