I Built a Full Marketing Agency Assistant with OpenClaw — 42 Tools, 6 Integrations

I built a complete AI-powered marketing agency assistant using OpenClaw that connects 6 external platforms through 42 custom tools — all running on a single $9/month VPS. It serves a real 6-person marketing agency (Sandweg Branding & Marketing) managing 5 client websites across Germany and South Africa.
The bot lives in Telegram and acts as the team's central command center. Team members ask it natural-language questions and it chains multiple tools together to complete complex multi-step workflows in seconds.
One message like:

"Pull Kintscher's top search queries, compare their Facebook reach this month, and draft the report to Marcel"

...triggers 4 API calls across Google Search Console, Meta Graph API, and Gmail, then composes and saves a draft email — all in under 30 seconds.
The Problem
Small marketing agencies drown in tool-switching. On any given day, our team bounces between Gmail, Google Calendar, Google Analytics, Search Console, Meta Business Suite, Canva, and Slack — often doing the same reporting workflows manually every week. Important client emails get buried. Nobody knows which Facebook post actually performed well without logging into Meta and clicking around. Weekly reports take hours to compile.
The Solution
OpenClaw as a tool broker that unifies everything behind a single Telegram chat interface. The team doesn't learn new software — they just describe what they need in plain language.
How I Used OpenClaw
OpenClaw runs on a Hostinger VPS (Ubuntu 24.04) as a systemd service, with Telegram as the primary gateway. Each integration is built as an OpenClaw workspace skill — a folder containing Python tools that follow the stdin/stdout JSON contract.
Architecture

Telegram → OpenClaw Gateway → LLM (GPT-5.4) → Tool Selection → Python Scripts → External APIs
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The 6 Skills (42 Tools Total)

1. Google Workspace (14 tools) Full integration with a shared [e-mail] account via a Google Cloud service account with domain-wide delegation. The bot can:

Read, search, and send Gmail — including drafting emails for review
Create/update/delete calendar events with automatic Google Meet links
Search Google Drive, read Docs and Sheets, append and write data

1. Slack (4 tools)

Post messages to any channel
DM any team member by name (the bot resolves names to Slack user IDs automatically)
Delete bot-sent messages
Automated email monitoring: a cron job checks the inbox every 30 minutes and posts alerts to Slack when important emails sit unread too long. High-priority client emails (Kintscher, ATW) alert after 1 hour. Everything else alerts after 6 hours. Calendar responses, newsletters, security alerts, and marketing noise are filtered out automatically.

1. Canva (9 tools) OAuth 2.0 integration with the team's Canva Pro account. The bot can:

Search designs by name, export as PDF/PNG/JPG/PPTX/MP4/GIF
Resize designs for different channels (Instagram square, LinkedIn banner, etc.)
Upload assets, import PDFs as editable designs, create new designs
Browse and organize folders, post comment threads on designs
List brand templates

1. Google Analytics 4 (3 tools) Service account with Viewer access on 5 GA4 properties. The bot can:

List all properties the agency manages
Run flexible reports with any combination of metrics (users, sessions, pageviews, bounce rate, engagement) and dimensions (date, country, device, source, page)
Pull top pages with per-page metrics

1. Google Search Console (3 tools) Service account with Full User access on 5 Search Console properties. The bot can:

List all verified sites
Run performance queries (clicks, impressions, CTR, position) broken down by query, page, country, device, or date
Pull top search queries with automatic date-range handling (accounts for GSC's 2-3 day data lag)

1. Meta Business Suite — Facebook + Instagram (8 tools) System user token (never expires) with Full Access to Kintscher Immobilien's Facebook Page (1K followers) and Instagram account (281 followers). The bot can:

Pull page-level insights: reach, engagement, page views, follower counts
List recent posts with per-post metrics (reach, clicks, reactions, comments, shares)
Rank top-performing posts by any metric
Pull Instagram post metrics (likes, comments, reach, saves, shares, total interactions)
Automatically categorize posts by content type using keyword matching against German marketing categories (Coming Soon, Vermarktungsstart, Aktuelles, Auffrischung, Verkauft)

Automated Workflows (Zero AI Credits)
Two cron jobs run 24/7 without consuming any LLM credits — they're pure API calls:

1. Email-to-Slack Monitor (every 30 minutes) Scans the shared inbox for unread emails. Client emails unread for 1+ hour get posted to client-specific Slack channels (#kintscher, #atw). Other important emails unread for 6+ hours get posted to #general. A noise filter ignores calendar responses, newsletters, security alerts, and marketing emails. State tracking prevents duplicate alerts.
2. Friday Weekly Reports (every Friday at 3 PM) Generates two comprehensive reports and posts them to #reports on Slack:

ATW report: Full GA4 website performance (users, sessions, pageviews, bounce rate, traffic sources, all landing pages, traffic by country and device) + full Search Console SEO data (all queries with positions, all ranking pages)
Kintscher report: Structured to match the agency owner's reporting template:

Section 1: Social Media Performance — Facebook + Instagram overview, content breakdown by German marketing categories (Coming Soon, Vermarktungsstart, etc.) with per-category reach and engagement, top performing content with analysis, growth insights
Section 2: SEO Performance — Google rankings with key local keywords tracked individually ("Immobilienmakler Burscheid" → Position X), website performance with conversion tracking (form submissions, clicks), all search queries with visual position indicators (🟢 top 3, 🟡 top 10, 🔴 page 2+)
Section 3: Strategic Summary — auto-generated "What's Working", "What Needs Improvement", and "Next Actions" based on actual data patterns

Real Data, Real Results
This isn't a demo with fake data. Some real numbers from Kintscher's production reports:

GA4: 1,142 active users, 4,525 pageviews in 30 days
Search Console: "kintscher immobilien" ranking position 1.01 with 80.8% CTR. "immobilienmakler burscheid" at position 11 with 172 impressions — identified as an SEO optimization opportunity by the bot
Facebook: 1,082 weekly reach, 58 post engagements, "Vermarktungsstart" content driving the most listing visibility
Instagram: Team @work reel hit 221 reach with 19 likes — highest engagement per post
Email monitoring: First run caught a client contact inquiry that had been sitting unread for 109 hours (almost 5 days) — exactly the kind of missed lead the agency owner was worried about

Demo
Telegram — Natural Language Queries
The team asks questions in plain language and the bot chains the right tools automatically:
"How did Kintscher do on Facebook this month?"
→ Pulls page insights, formats a readable summary with reach, engagements, follower count
"What are the top search queries for Kintscher?"
→ Pulls Search Console data, returns queries sorted by clicks with position indicators
"Find the Höchsten reel, export as PDF, and draft an email to [e-mail]"
→ Chains Canva search → Canva export → Gmail draft in one request
"DM Phendulile on Slack saying the report is ready"
→ Looks up Phendulile by name → sends DM to her Slack user ID
Slack — Automated Alerts
The email monitor posts alerts like:

🚨 HIGH PRIORITY CLIENT — unread for 2.5h
From: Melanie Wollthan
Subject: New listing photos ready
Preview: Hi, the photos for the Burscheid property are ready...

Slack — Friday Reports
Every Friday at 3 PM, the #reports channel gets a complete breakdown — no human needs to compile anything.
(Add your screenshots here from #reports, Telegram conversations, and Slack alerts)

What I Learned

1. The stdin/stdout contract is elegant OpenClaw's tool architecture — read JSON from stdin, write JSON to stdout, log to stderr — is beautifully simple. Every tool is a standalone script that can be tested independently from the command line before the LLM ever touches it. This made debugging fast: if a tool works with echo '{}' | python3 tool.py, it works with OpenClaw.
2. Service accounts beat OAuth for server-side automation For Google integrations, using a service account with domain-wide delegation means no token expiration, no refresh flows, no browser-based auth. Set it up once, runs forever. For Meta, the system user token approach achieves the same thing — a permanent token that never needs renewal.
3. The LLM is the router, not the worker The most credit-efficient architecture is: let the LLM decide which tool to call and what to pass it, but do all the actual work in deterministic Python scripts. Our two cron jobs (email monitor + Friday reports) use zero AI credits because they bypass the LLM entirely — pure API calls + string formatting.
4. Noise filtering is 80% of the value The email-to-Slack tool was useless until we added aggressive noise filtering. First dry run: 50 emails would have been posted, most of them calendar responses and newsletters. After filtering: 10 genuinely important emails. The filtering rules were iteratively refined by looking at real inbox data — not guessed upfront.
5. Real agency workflows are multi-tool chains The single most impressive capability isn't any individual tool — it's the LLM's ability to chain 3-4 tools in sequence from one natural language request. "Find the design, export it, email the link" is one sentence but three API integrations. That's where OpenClaw's architecture shines.
6. Build for the team, not for yourself Every tool was tested with realistic scenarios that a non-technical marketing colleague would actually type. "DM Phendulile saying the meeting moved to 3pm" — not "call slack_find_user with name parameter Phendulile then pass the resulting user_id to slack_send". The team documentation was written for humans, not developers. Technical Stats MetricValueTotal tools 42,Skills (integrations)6,Automated cron jobs 2,External APIs connected 10+,Client websites covered 5,Team members served 6 ,VPS cost~$9/monthA,Build time~3 working days Lines of custom Python 2,500+