Agentcy v1.0 is live today. One MCP server. Nineteen data sources. One natural language interface that actually understands what you're asking and gives you answers — not data dumps.
This isn't another API wrapper. We built something fundamentally different. Here's what shipped and why each piece matters.
Six Breakthroughs
1. Intelligent Service Discovery
Every other MCP server forces you to know which tool to call. Need GA4 data? Call the GA4 tool. Need Search Console? Switch to a different tool. Want to check your ad spend? That's a third tool with different parameters and a different mental model.
Agentcy works differently. You describe what you want to know, and the system figures out where to get it.
Ask "Why did my conversions drop last week?" and Agentcy automatically identifies that this needs Google Analytics for the conversion data, Search Console to check if rankings shifted, and possibly Google Ads to see if campaign changes coincided with the drop. You don't need to know which services have the answer. You just need to know the question.
This isn't keyword matching. Ask the same question ten different ways — "conversions are tanking", "fewer leads this week", "what happened to my signup rate" — and Agentcy understands the intent and routes to the right sources every time.
The practical impact: you stop thinking about tools and start thinking about your business. No more memorizing API names. No more guessing which dashboard has the metric you need.
2. Cross-Source Intelligence
Here's what happens today when you use separate MCP servers and want to understand why organic traffic changed:
- Query the GA4 server. Wait for response. Read 12,000 tokens of JSON.
- Query the Search Console server. Wait again. Another 8,000 tokens.
- Query the SERP server. Wait. More tokens.
- Now manually ask your AI to correlate all three data sets.
- Hope it doesn't lose context halfway through.
With Agentcy, you ask one question: "What's happening with my organic traffic and where should I focus?"
One request triggers multiple services in parallel. GA4 returns your traffic patterns. Search Console surfaces ranking changes. SERP data reveals competitor movement. And instead of dumping three separate JSON blobs into your conversation, Agentcy synthesizes everything into a single, cohesive analysis.
"Organic sessions are up 12% month-over-month, driven by three new pages ranking in positions 3-7. However, your /pricing page bounce rate spiked 23% — likely caused by the competitor who just outranked you for 'enterprise pricing.' Recommendation: update the pricing page hero section and create supporting content for your top-performing /guide page to consolidate that topic cluster."
That answer connects dots across three data sources. It identifies both the win (new pages ranking) and the risk (pricing page bounce rate). And it gives you a specific next step. No raw data. No manual correlation. No context window gymnastics.
3. No More Data Dumps
This is the problem that started everything. Raw MCP servers return whatever the API gives them — and APIs give a lot.
A single GA4 query returns property metadata, quota objects, dimension headers, nested metric values, and thousands of lines of JSON that exist for programmatic consumption, not human understanding. Your AI assistant receives all of it, burns tokens processing it, and then tries to extract the three numbers you actually wanted.
Agentcy strips the noise at the source. The data is analyzed server-side before it ever reaches your conversation. What comes back is a focused analysis with the actual metrics, trends, and recommendations — written for a marketing professional who wants to take action, not a developer who wants to parse JSON.
The difference is dramatic:
- A detailed GA4 analysis through a raw MCP server: ~25,000 tokens of JSON
- The same question through Agentcy: ~1,200 tokens of actionable insight
- That's 95% fewer tokens — and the Agentcy response is actually useful without further processing
Your AI assistant stays focused. Your context window stays clean. And you get answers instead of homework.
4. Set Up Once, Use Everywhere
Managing MCP servers today is a configuration nightmare. Each server needs its own JSON config block, its own credentials, its own environment variables. Running an agency with 20 clients? That's 20 sets of credentials per service, scattered across config files on every machine where you use AI tools.
Agentcy consolidates everything into one portal and one config block.
Set up takes about five minutes:
- Sign in with Google at app.goagentcy.com
- Connect your Google account (one click — covers GA4, Search Console, Ads, YouTube, GTM, and Sheets)
- Add your domains and configure which services each domain uses
- Generate an API key
- Paste one config snippet into your AI client
That's it. One config. One key. Every data source you enabled is now available through natural language.
Adding a new domain later takes about 60 seconds — add it in the portal, enable services, done. No config files to edit. No server restarts. No credential juggling. The new domain is immediately available in every AI client where you've set up Agentcy.
Need to add a new data source? Toggle it on in the portal. It's available on your next query. No new tools appearing in your context window, no new config blocks to manage.
5. Save Money on Tokens and Time
The hidden cost of "free" MCP servers adds up fast.
Token costs: When a raw GA4 MCP returns 25,000 tokens and your AI spends another 2,000 tokens reasoning about it, that single query costs roughly $0.11 at current Claude pricing. Ask 50 questions a day across a few clients and you're burning $150+ per month on tokens alone — for data that still requires you to interpret it.
Agentcy queries average 18x cheaper because the heavy lifting happens server-side. You receive focused insights, not raw payloads. Your AI doesn't waste tokens parsing JSON structures. And responses that come from cache cost nothing at all.
Context window costs: Six common marketing MCP servers inject 149 tool definitions consuming ~139,575 tokens. That's 70% of a 200K context window eaten before you ask your first question. Agentcy uses 4 tools and ~587 tokens — a 238x reduction that leaves 99.7% of your context window for actual work.
Time costs: No more switching between dashboards. No more exporting CSVs and uploading them to your AI. No more "let me check another tool for that." Ask the question, get the answer. The time savings compound across every client, every day.
6. Multi-Domain, Multi-Client, Zero Friction
Whether you manage one website or fifty, every other solution makes you choose: set up separate MCP servers for each site (configuration explosion), or constantly swap credentials (error-prone and slow).
Agentcy handles this natively. Every query takes a domain parameter. Your credentials, configurations, and data are isolated per domain in the portal. But from your AI client, switching between sites is as simple as saying a different domain name. Solo marketers with a personal site and a side project benefit from this just as much as an agency with 20 clients.
"Show me organic traffic for aurora-fitness.com" "Now compare northpeak-outdoor.com's ad performance" "What's the revenue trend for velvet-roasters.com?"
Three clients. Three queries. Zero reconfiguration. Each domain pulls from its own GA4 property, its own Search Console site, its own Google Ads account. Complete data isolation with zero friction.
What's in v1.0
Data Sources (19 Live)
Google Marketing Stack — connect your Google account once, configure per domain:
- Google Analytics 4 — traffic, conversions, user behavior, audience segments
- Google Search Console — search queries, rankings, CTR, index coverage
- Google Ads — campaign performance, keyword metrics, budget optimization
- YouTube Analytics — channel and video performance, audience demographics
- Google Tag Manager — container audits, tag inventory, configuration review
- Google Sheets — pull data from any connected spreadsheet
Search & Competitive Intelligence:
- Research & Web Intelligence — 100+ search engines, SERPs, Google Trends, News, Local Search, Shopping, web scraping, and YouTube transcripts
- SpyFu — competitor keyword research, PPC analysis
- HubSpot — CRM contacts, companies, deals, pipeline analytics
E-Commerce:
- WooCommerce — orders, revenue, products, customers, inventory
Creative & Visualization:
- AI Image Generation — generate and modify marketing visuals with AI
- Data Visualization — AI-generated charts, graphs, and visual data representations
Web Utilities (always available, no setup needed):
- PageSpeed Insights — Core Web Vitals, Lighthouse audits
- DNS Records — full DNS lookup, record validation
- WHOIS — domain registration, expiration dates
- Sitemap Analysis — URL inventory, coverage gaps
- Schema Markup — structured data validation, rich result eligibility
- Technology Detection — identify 3,000+ technologies on any website
- Readability Analysis — content scoring, reading level, SEO metrics
Management Portal
Full-featured portal at app.goagentcy.com:
- Google OAuth sign-in — one click to get started
- Service marketplace — browse, enable, and configure all data sources
- Domain management — add domains, configure per-domain services, test connections
- API key management — create, revoke, and track usage per key
- Usage dashboard — query history, quota tracking, service breakdown
- Billing — Free/Starter/Pro/Business tiers with transparent usage limits
- MCP config generator — select your AI client, copy the config, done
Client Compatibility
Works with 35+ MCP-compatible clients including:
- Claude Desktop, Claude Code
- Cursor, Windsurf, VS Code with Copilot
- ChatGPT (via MCP bridge)
- JetBrains IDEs, Neovim, Emacs
- Cline, Continue, Roo Code
- And any application that supports the MCP protocol
Also available as a REST API for custom integrations — same intelligence, same synthesis, accessible from any HTTP client.
Pricing
| Plan | Queries/mo | Domains | Price |
|---|---|---|---|
| Free | 50 | Unlimited | $0 |
| Starter | 500 | Unlimited | $29/mo |
| Pro | 2,500 | Unlimited | $99/mo |
| Business | 10,000 | Unlimited | $299/mo |
| Enterprise | Custom | Unlimited | Contact sales |
All plans include access to every data source. Some third-party services (like SpyFu and HubSpot) require your own API key from that provider, which may have its own subscription cost. Agentcy doesn't add per-service fees on top.
What's Next
This is v1.0, not the finish line. We're actively building:
- More data sources — Meta Ads, Shopify, BigCommerce, LinkedIn Ads, and more
- Deeper cross-source analysis — more sophisticated multi-source correlation
- Structured output modes — JSON and chart generation for programmatic consumers
- API documentation — full REST API reference for builder-tier integrations
We built Agentcy because we're marketers ourselves — running an agency with 20+ clients, dozens of data sources, and an AI assistant that kept choking on raw JSON. Whether you're a solo marketer with one site or an agency managing dozens, the problem is the same: getting real answers from your marketing data shouldn't require a data engineering degree. Now it doesn't.