Citedy MCP: The SEO Autopilot for Marketers and Developers

Citedy MCP: the SEO Autopilot for Marketers and Developers

Most AI content tools force you to choose: marketer-friendly dashboards with limited control, or developer APIs with zero UX. Citedy MCP doesn't make you choose.

Citedy MCP is one product with two entry points. If you are a marketer, you get natural language prompts — type what you want in plain English, and a fully optimized SEO article appears in under two minutes. If you are a developer, you get REST APIs, JSON config, and a 1-command install that plugs directly into your existing workflow. Both paths lead to the same powerful AI content engine. Both produce the same quality output.

This is not a watered-down dashboard bolted onto an API, or an API tacked onto a GUI as an afterthought. The system was designed from the ground up so that every capability available through prompts is also available through endpoints — and vice versa.

Whether you are a solo founder writing three blog posts a week, a marketing team scaling to 60 articles a month, or a developer building a fully automated content pipeline, this guide shows you exactly how Citedy MCP fits your workflow.

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For Marketers: Automate SEO Without Losing Brand Control

Let's be honest about the state of AI content in 2026. Most tools produce generic, tone-deaf articles that read like they were written by a committee of chatbots. They lack personality, miss your brand voice, and require so much editing that you question whether automation saved any time at all.

Citedy MCP takes a fundamentally different approach. You stay in control of voice, tone, structure, and editorial standards. The AI handles the research, writing, optimization, and distribution at a speed and cost that no human team can match.

Your Words, Your Voice

Every article Citedy generates is shaped by a writing persona — a predefined voice profile that controls tone, vocabulary, sentence structure, and argumentation style. There are 25 personas available out of the box:

• saas-founder — Confident, metric-driven, speaks from experience building products
• marketing-strategist — Data-informed, focused on ROI and conversion
• investigative-reporter — Thorough, evidence-based, neutral but compelling
• thought-leader — Visionary, forward-looking, challenges conventional wisdom
• technical-writer — Precise, structured, jargon-appropriate for developer audiences
• brand-storyteller — Narrative-driven, emotionally engaging, brand-centric
• growth-hacker — Scrappy, experiment-focused, obsessed with leverage
• industry-analyst — Authoritative, data-heavy, trend-focused

And seventeen more, each carefully tuned to produce content that sounds like it came from a real person with a real perspective — not a language model hedging every sentence.

You pick the persona. The AI handles the rest. If none of the built-in personas match your brand, you can customize them or create your own from scratch.

From Prompt to Published in 90 Seconds

Using Citedy MCP as a marketer feels like giving instructions to a very fast, very competent content writer. Here are three real prompts and what they produce:

Prompt 1: Single article generation

Write a turbo article about cold email deliverability

Result: A 1,500-word SEO-optimized article covering DNS authentication, sender reputation, inbox placement strategies, and subject line best practices. Published to your blog in approximately 90 seconds. Total cost: roughly $0.03.

Prompt 2: Trend-driven content

Scan X/Twitter for trending topics about SaaS pricing and write articles about the top 3

Result: Citedy scouts X for the most-discussed SaaS pricing themes in the past 24-48 hours, identifies the top three by engagement volume, and generates a full article for each. You get three publish-ready articles based on what your audience is already talking about.

Prompt 3: Hands-free autopilot

Set up autopilot: 2 articles per day about B2B marketing

Result: Citedy creates a recurring session that generates and publishes two articles daily on B2B marketing subtopics. It rotates angles, avoids repetition, and maintains consistent quality across dozens of posts. You review when you want to, or let it run unattended.

Full Editorial Control

Automation does not mean giving up control. Every article Citedy generates can be:

• Reviewed before publishing — Read the draft, make edits, approve or reject
• Scheduled for later — Queue articles for specific dates and times to maintain a consistent publishing cadence
• Published immediately — For time-sensitive content, go straight to live
• Run on full autopilot — Set the topic, frequency, and persona, then let the system run independently

You decide the level of oversight. Some teams review every article. Others spot-check one in ten. Others let autopilot run for weeks and only step in when they want to change direction. All three approaches work.

Brand Knowledge Base

Generic AI content fails because the AI does not know your product. It does not know your features, your positioning, your competitive advantages, or your terminology.

Citedy solves this with a Brand Knowledge Base. Upload your product documentation, landing pages, feature descriptions, tone guides, competitor comparisons, and customer testimonials. The AI references this material when generating content, so articles mention your actual product accurately — correct feature names, real use cases, proper positioning.

The difference between an article written with and without a knowledge base is immediately obvious. With it, the content sounds like it came from someone who works at your company. Without it, it sounds like it came from someone who read your homepage once.

Multi-Channel Distribution

Writing the article is only half the job. Distribution is the other half, and it is where most teams lose hours every week.

Citedy takes a single article and adapts it for up to seven platforms automatically:

• LinkedIn — Professional tone, hook-driven opening, hashtag optimization
• X (Twitter) — Thread format or single post, character-optimized
• Reddit — Community-appropriate tone, value-first positioning, subreddit-aware
• Facebook — Conversational adaptation with engagement hooks
• Instagram — Caption-optimized with relevant hashtag sets
• Shopify — Product-aware blog formatting for ecommerce stores
• Medium — Long-form adaptation with proper Medium formatting

Each adaptation is tailored to the platform's audience expectations and content norms. A LinkedIn post reads differently from a Reddit comment, and Citedy handles that distinction automatically. You can auto-publish to all platforms at once or review each adaptation individually.

Cost Reality Check

The economics of AI-generated content have reached a tipping point. Here is what the numbers look like in practice:

This is not a rounding error. It is a 99%+ cost reduction with faster turnaround and consistent output quality. A solo founder can now maintain the content velocity of a 10-person marketing team.

To be clear: AI-generated content does not replace strategic thinking, original research, or deeply personal storytelling. But for the 80% of SEO content that follows established patterns — how-to guides, listicles, comparison articles, trend roundups, FAQ pages — the ROI of automation is overwhelming.

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For Developers: API-First, Zero Friction

If you made it past the marketing section and you are a developer, here is where things get interesting. Citedy MCP is not a GUI with an API bolted on. The API is the product. Everything the marketing team does through natural language prompts, you can do through structured API calls with full programmatic control.

1-Command Install

If you use Claude Code, installation is a single command:

claude mcp add Citedy https://mcp.citedy.com/mcp -t HTTP

That's it. No YAML files. No plugin configurations. No build steps. No dependency installation. One command, and every Citedy capability is available through your Claude Code session.

Or Use Cursor/Windsurf

If you work in Cursor or Windsurf, add Citedy to your MCP server configuration:

{
  "mcpServers": {
    "citedy": {
      "url": "https://mcp.citedy.com/mcp",
      "headers": {
        "Authorization": "Bearer ${CITEDY_AGENT_API_KEY}"
      }
    }
  }
}

Set your `CITEDYAGENTAPI_KEY` environment variable, and you are ready to call any Citedy tool directly from your editor's AI assistant.

Full REST API

Every feature in Citedy is exposed through a clean REST endpoint. No GraphQL complexity, no SDK requirements, no client libraries to install. Standard HTTP with JSON payloads.

All endpoints use Bearer token authentication, accept and return JSON, and follow standard HTTP status code conventions. If you can write a curl command, you can use Citedy.

Webhooks for Everything

Polling is wasteful. Citedy supports webhooks for every meaningful event in the content lifecycle:

• article.completed — Fires when article generation finishes
• article.published — Fires when an article goes live on your blog
• adaptation.completed — Fires when social media adaptations are ready
• session.* — Fires on autopilot session events (started, paused, completed)
• credits.low — Fires when your credit balance drops below a threshold

Register a webhook with a single API call:

curl -X POST https://mcp.citedy.com/api/agent/webhooks \
  -H "Authorization: Bearer $Citedy_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "url": "https://your-app.com/webhook",
    "events": ["article.completed", "credits.low"]
  }'

Webhook payloads include the full object data, so your handler has everything it needs without making follow-up API calls.

Rate Limits and Pricing That Make Sense

Rate limits are generous and transparent:

• Article generation: 10 requests per minute
• Adaptations: 20 requests per minute
• Post publishing: 30 requests per minute

Pricing is credits-based with no hidden fees:

• 1 credit = $0.01
• Turbo article (fast, 1,000-1,500 words) = 2-4 credits
• Pillar article (in-depth, 3,000-5,000 words) = 20-40 credits
• 500 free credits on signup — enough for 125+ turbo articles to evaluate the platform

No monthly minimums. No annual contracts. No per-seat pricing. You pay for what you generate.

Chain Everything

The real power of an API-first product is composability. Here is a bash script that chains four Citedy endpoints into a complete content pipeline — from trend discovery to multi-platform publishing:

// Scout trending topics on X
SCOUT=$(curl -s -X POST https://mcp.citedy.com/api/agent/scout/x \
  -H "Authorization: Bearer $Citedy_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"query": "saas pricing"}')

SCOUT_ID=$(echo $SCOUT | jq -r '.id')
// Write article from top trend
ARTICLE=$(curl -s -X POST https://mcp.citedy.com/api/agent/autopilot \
  -H "Authorization: Bearer $Citedy_API_KEY" \
  -H "Content-Type: application/json" \
  -d "{\"scout_id\": \"$SCOUT_ID\"}")
ARTICLE_ID=$(echo $ARTICLE | jq -r '.id')
// Adapt for social platforms
Curl -s -X POST https://mcp.citedy.com/api/agent/adapt \
  -H "Authorization: Bearer $Citedy_API_KEY" \
  -H "Content-Type: application/json" \
  -d "{\"article_id\": \"$ARTICLE_ID\", \"platforms\": [\"linkedin\", \"x_thread\"]}"
// Publish everywhere
Curl -s -X POST https://mcp.citedy.com/api/agent/publish \
  -H "Authorization: Bearer $Citedy_API_KEY" \
  -H "Content-Type: application/json" \
  -d "{\"article_id\": \"$ARTICLE_ID\"}"

Run this script on a cron job, and you have a fully automated content engine that discovers trends, writes articles, adapts them for social media, and publishes across all channels — without a human touching anything.

Replace the scout query, swap the persona, or add a knowledge base reference, and you have a completely different content pipeline with the same infrastructure.

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Where Both Worlds Meet

Same Engine, Different Interface

Here is something that often gets lost when products try to serve multiple audiences: they build two separate systems with two separate quality levels, and the API version is always worse.

Citedy does not work that way. Marketers and developers use the same underlying AI pipeline. When a marketer types "Write a turbo article about cold email deliverability," the system translates that natural language prompt into the exact same API call that a developer would construct manually. Same model, same knowledge base lookups, same SEO optimization, same output.

The only difference is the interface. Marketers interact through conversational prompts. Developers interact through structured JSON payloads. The content engine does not know or care which interface triggered the request.

This means there is no quality gap between the "easy mode" and the "power mode." A marketer using prompts gets the same article quality as a developer calling the REST API directly. The API gives you more granular control over parameters, but it does not unlock a different tier of output.

Team Workflow

The dual-interface design becomes particularly powerful in team settings. Consider a typical content operation:

1. The marketing team uses natural language prompts to draft articles, experiment with personas, and build the editorial calendar
2. The development team builds automated pipelines — cron jobs that scout trends, generate articles on schedule, and distribute them across channels
3. Both teams feed into the same content calendar and draw from the same knowledge base

Marketing handles the creative direction. Engineering handles the automation. There is no translation layer, no manual handoff, no "export from tool A, import to tool B" friction. Everything lives in one system.

When the marketing team uploads new product documentation to the knowledge base, the developer's automated pipeline immediately uses that updated information in its next article. When the developer adds a new webhook integration, the marketer benefits from the notification without knowing the webhook exists.

55 Languages

Both interfaces — prompts and API — support all 55 languages. Write in English and publish in Spanish. Generate a German article from a Japanese trend scan. Run an autopilot session that produces content in three languages simultaneously.

Language support is not a translation layer bolted onto English output. Each language has native generation capabilities, meaning articles read naturally in the target language rather than sounding like machine translations.

For global teams, this eliminates the need for separate content operations per market. One pipeline, one knowledge base, one editorial calendar — published across every market in the local language.

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Start Building

Citedy MCP gives you 500 free credits on signup — enough to generate over 125 turbo articles and evaluate whether the platform fits your workflow. No credit card required. No time limit on the free credits.

Install in one command:

claude mcp add Citedy https://mcp.citedy.com/mcp -t HTTP

Explore ready-to-use prompts: Citedy MCP Prompt Library: 12 Ready-to-Use Prompts for SEO Automation

See real-world use cases: 15 Ways to Automate Content with Citedy MCP

Full API documentation: HTTPS://www.Citedy.com/tools/mcp

Whether you are a marketer who wants to stop spending $15,000 a month on freelance content, or a developer who wants to build a fully automated publishing pipeline in an afternoon, Citedy MCP meets you where you are. Same engine. Same quality. Your interface.