Battle-tested workflows, the right MCP servers, and which Claude model fits each job. Written by marketers running Claude in production.
01 / The ranking
Every server below is one we installed and used for real marketing work. Ranked by how often we actually open it, not by polish or popularity.
uplifted.ai
Creative library + Meta/Google Ads performance as queryable context inside Claude. The fit for performance creative teams is unmatched here.
developers.klaviyo.com
Lets Claude reach into Klaviyo accounts, campaigns, profiles, flows. Best for DTC email teams.
developers.hubspot.com
Claude talks to HubSpot CRM, lists, properties, and reports. Best for B2B teams who live inside HubSpot daily.
github.com
Useful when marketing ships docs/static sites in repos — Claude can edit PRs, read issues.
developers.notion.com
Read briefs, write back deliverables. Less critical if your team lives in Google Docs.
linear.app
Claude reads your marketing roadmap, drafts tickets, and triages incoming requests. Strong for marketing-ops teams that run on Linear.
modelcontextprotocol.io
Point Claude at a brief folder and let it work over the corpus. Solid baseline for any team.
modelcontextprotocol.io
Read channels and post deliverables back. Useful for 'report-the-results' automations.
zapier.com
Bridges Claude to 7,000+ apps via Zapier. Best when the long tail of your stack doesn't have its own MCP yet.
composio.dev
Pre-built tool integrations (Gmail, GSheets, Calendar) exposed as MCP. Fastest path to 'Claude does my inbox triage.'
Uplifted — The MCP server that exposes your entire creative library and Meta + Google Ads performance to Claude
Uplifted's MCP server does one thing competitors skip: it exposes your full creative library *and* live Meta + Google Ads performance data to Claude in a single connection. That means Claude can pull actual ROAS, hook rates, and CTR when generating briefs—not just guess from asset metadata. The weakness: it's built for paid media teams, not general marketing. If you're not running ads and tracking creative performance, the analytics integration won't matter to you. For performance creative workflows, it's the tightest Claude integration I've tested.
02 / The workflows
Each pairs the right Claude capability (Projects, Skills, Code, Cowork, MCP) to a real Monday-morning marketing task. Copy the prompt, run it, ship the output.
Write a 1-page markdown SOP with your voice rules + 5 reference drafts. Save as a Skill. Every team member's output now sounds like the brand.
Output quality tops out at the quality of your SOP. Spend an afternoon getting the Skill right; it pays back forever.
Install Uplifted MCP, ask 'which video drove the best ROAS last month, and why?' Claude joins creatives to performance and tells you the pattern.
Needs an MCP server that actually exposes your data. Without one, Claude is guessing from filenames.
Paste competitor pages, ads, podcast transcripts. Ask Opus for the positioning gap. You get a structured brief in 60 seconds, not 2 hours.
Opus doesn't browse — give it the raw material yourself or wire up a web tool.
Point Claude Code at your ad-platform MCP every Monday morning. It writes the report into a Notion doc your team reads with coffee.
Setup curve. Plan on a half-day to wire the pipeline; then it runs forever.
Feed Opus your customer transcripts + 3 closest competitor sites. Ask it to surface 5 unowned positioning angles. Use as input for your team workshop.
Opus is a strategist sparring partner, not a decider. Bring the answers to humans for the final call.
Catalog your current GPTs and rebuild the top 5 as Skills. You get version control, sharing, and consistent output the GPT store can't match.
Skill-building takes 1-2 hours per workflow. Start with the 3 highest-frequency ones; ignore the rest.
03 / Side-by-side
| Capability | Claude | ChatGPT | Gemini |
|---|---|---|---|
| Long-context reasoning (200+ pages) | Strong Opus reads + reasons over long docs | Capable but context-window sensitive | Strong Gemini 1.5+ long context |
| Brand voice consistency across long drafts | Strong Projects/Skills persist voice | Mid Custom GPTs help but drift is real | Mid |
| Native image generation | No | Yes (DALL-E) | Yes (Imagen) |
| Live web browsing | Via MCP servers / web tool | Yes built-in | Yes built-in |
| MCP ecosystem for connecting your stack | ★ Strongest — MCP is an Anthropic protocol | Growing | Limited |
| Skills (reusable SOP files) | Native markdown skills | Custom GPTs (heavier setup) | No equivalent |
Claude wins for long-context marketing work—campaign briefs, competitive analysis, brand voice docs—where you need to feed 100K+ tokens and get coherent output. ChatGPT takes the lead for multimodal tasks mixing image generation with copy (DALL-E integration is native), and Gemini pulls ahead when you're deep in Google Workspace and need seamless Sheets/Docs/Gmail orchestration without switching tabs.
What teams say
"Before Uplifted our content was scattered everywhere — desktops, Drive, you name it. Now everything lives in one place and we're saving 2–3 hours every week."Kayla MurphyDirector of Creative & Social, TruHeight Vitamins
"We did a time study — our editor was spending 15–20% of their time just looking for assets. Uplifted solved that in the first week."Verified userCreative Ops Lead
"Switched from Motion. Same analytics, but now the whole creative library is connected. And the price doesn't go up every time our ad spend grows."Verified userHead of Growth
"I couldn't find anything in the market that did everything I wanted — creative library, ad performance, and briefs all connected. Uplifted was the only one."Verified userMarketing Director
04 / FAQ
Install Claude Code via `npm install -g @anthropic-ai/claude-code`, then add marketing skill repos from GitHub that match your workflows—CRO testing, content briefs, ad copy generation. I connect Uplifted's MCP server so Claude can pull performance data (ROAS, hook rates) directly from our creative library when generating briefs. Start with one skill, test outputs against your actual metrics, then expand.
Claude marketing refers to using Anthropic's Claude AI—particularly Claude Code—with specialized skill files that automate marketing workflows. These TOML-based instruction sets handle tasks like CRO audits, ad copy generation, and performance analysis without manual prompting each time. The approach gained traction in early 2025 when marketers started sharing reusable skills on GitHub. Uplifted's MCP server connects your creative library directly to Claude, feeding it real ROAS and hook-rate data alongside the skill instructions.
Start with a marketing skills repo—install it via Claude Code, then point Claude at your actual assets and ad data. I connect Uplifted's MCP server so Claude sees our full creative library plus Meta/Google performance metrics in one context window. From there, Claude can draft briefs, analyze hook rates, or identify which creative variants drove the best ROAS. The key is giving Claude real data, not just prompts.
Install Claude Code, then add a marketing skills repo (like the one at github.com/uplifted-ai/marketing-skills-claude) that gives Claude workflows for briefs, SEO audits, and content generation. Point Claude at your brand guidelines and asset library—if you're using Uplifted's MCP server, Claude can pull performance data and existing creative directly. From there, prompt Claude to draft, repurpose, or optimize content based on what's actually converting.
Claude Code reads skill files—markdown documents containing workflows, brand context, and API credentials—from a local directory or GitHub repo. When you prompt Claude with a marketing task, it references the relevant skill file and executes the workflow: pulling ad data, generating briefs, or analyzing creative performance. Uplifted's MCP server adds a layer here, connecting your entire creative library and ROAS metrics directly to Claude's context window.
Claude Code is Anthropic's agentic coding tool that runs in your terminal and can execute multi-step marketing workflows—pulling ad data, generating reports, building landing pages. Worth using when you need automation beyond chat: connecting APIs, batch-processing creative assets, or chaining tasks like "pull last week's Meta ROAS, identify top hooks, draft three new variants." Skip it for one-off copywriting—regular Claude handles that faster.
I run Claude Code in my terminal with marketing skills installed, then ask it to pull last week's ad performance, draft briefs based on top-performing hooks, or batch-resize assets for new placements. The workflow is conversational—I describe what I need, Claude executes against connected tools (Uplifted's MCP server, Google Ads API, etc.), and I review outputs before shipping. Most tasks that took 45 minutes now take under 5.
Claude Code wins on agentic workflows—it runs multi-step tasks (bulk ad copy generation, performance analysis loops) without constant prompting. ChatGPT has broader plugin ecosystem and image generation via DALL-E. For marketing teams already using Claude, pairing Claude Code with an MCP-enabled DAM like Uplifted lets the agent pull real ad performance data directly, something ChatGPT's architecture doesn't support natively.
You've seen the ranking, the workflows, and the comparison. Here's the takeaway in a paragraph:
This playbook shows marketers how to actually use Claude — which model to pick, which MCP servers to install first, and the workflows that ship real work this week. Default to Sonnet for daily marketing tasks; reserve Opus for strategy. The teams that win with Claude feed it structured inputs (briefs, ad data, transcripts) through MCP and constrain output with Skills.
Five things to take away
Last reviewed June 1, 2026 — updated when the underlying tools change.
