Why the smartest developers are giving Claude Code superpowers
Most people treat AI like Google with a philosophy degree.
They copy-paste code snippets, ask it to “search for X,” and wonder why they’re still drowning in Stack Overflow tabs at 2 AM.
Meanwhile, a small group of builders discovered something completely different.
They’re not asking Claude to search the web. They’re giving Claude direct access to live data sources through custom MCP servers.
And honestly? It’s kind of unfair how much better this works.
The Problem Nobody Talks About
You probably use Claude or ChatGPT daily. You might even think you’re “good at prompting.” (We all do. It’s fine.)
But here’s the uncomfortable truth:
Every time you ask an AI to “search for” something, you’re using a Ferrari to push a shopping cart uphill. In the rain. While the Ferrari is on fire.
Because here’s what’s actually happening:
Web search burns tokens like they’re going out of style
Results come back scattered like a teenager’s bedroom
AI knowledge has a cutoff date (even with search enabled)
You’re limited by what the AI can find, not what actually exists
It’s like asking a librarian to describe a book they’ve never read based on reviews they found on the internet. Sure, they’ll give you something. But wouldn’t you rather just hand them the book?
What if Claude Code Could Read Directly From Your Data?
This is the entire game that MCP (Model Context Protocol) is playing.
Instead of asking Claude to “search Substack for AI content,” you build a custom server that gives Claude direct, structured access to Substack’s API. You’re essentially handing Claude the keys to the library instead of making it google “library near me.”
The difference looks like this:
❌ The Old Way: “Hey Claude, can you search for recent posts about AI regulation and maybe try to figure out the sentiment and themes?”
✅ The New Way: Claude queries live Substack feeds, analyzes sentiment, extracts keywords, and maps publishing trends—all in a single, structured call.
You’re not asking anymore. You’re extending Claude’s capabilities with tools you control. You’ve gone from customer to co-pilot.
Claude Built Me a Substack MCP Server
I got tired of asking Claude to help me research Substack publications while constantly hitting API rate limits, and…I’m not proud of this: scraping HTML like some kind of digital raccoon going through garbage cans.
So I built substack_mcp : a custom MCP server that transforms Claude into a Substack research assistant on steroids.
Seven Specialized Tools
get_posts - Fetch recent posts from any publication
get_post_content - Full article content in one call
analyze_post - Sentiment analysis, readability metrics, keyword extraction
get_author_profile - Author bio and publishing patterns
get_notes - Substack notes (basically Twitter, but for writers)
search_notes - Search within an author’s notes
crawl_publication - Comprehensive intelligence dump of any publication
Built-In Analytics
The server doesn’t just fetch data—it understands it:
Sentiment scoring using VADER (it detects emotional tone, not Darth Vader, though that would be cooler)
Readability metrics including Flesch Reading Ease and grade level
Keyword extraction with TF-IDF and stopword filtering (no more “the” and “and” clogging your results)
Publishing cadence to track how often someone posts and how consistent they are (looking at you, inconsistent newsletter writers)
Live Data, No Compromises
Here’s where it gets good:
No AI knowledge cutoff limitations
Real-time content as it’s published
Structured responses using Pydantic models (clean data, not the JSON equivalent of a junk drawer)
Everything is wrapped in rate limiting (1-second throttle) and TTL caching (15 minutes) because I’m not trying to become the person who accidentally DDoS’d Substack.
How MCP Servers Actually Work
Let me break this down like you’re explaining it to your non-technical friend at a coffee shop.
MCP is Anthropic’s protocol for giving Claude access to external tools. Think of it as the difference between describing a restaurant to someone versus handing them the menu and letting them order directly.
Without MCP:
You → Claude → “Can you search Substack for me?”Claude → Web search → Parse HTML → Guess at structure → Return messy text
It’s like playing telephone with a language model. Information gets lost. Structure gets mangled. Everyone’s frustrated.
With MCP:
You → Claude → MCP Server → Direct API call → Structured dataClaude ← Pydantic models ← Clean JSON ← MCP Server
Claude doesn’t “search” anymore. It executes functions you define. You’ve graduated from asking questions to providing capabilities.
You control:
What data Claude can access (everything, something, or nothing—your call)
How it’s formatted (clean, structured, actually useful)
What operations are allowed (read-only? Write access? You decide)
Rate limits and caching (because we’re responsible adults here)
It’s like giving Claude API keys to your entire stack, but with guardrails. Think “power user” not “chaos goblin.”
The 30-Second Setup (No, Really)
If you’re using Claude Code, setting up an MCP server is almost suspiciously simple:
In you terminal:
# 1. Clone the repogit clone https://github.com/dkyazzentwatwa/substack_mcp.gitcd substack_mcp# 2. Ask Claude Code to install itclaude“Install this MCP server”# 3. Actually use it“Get the latest posts from the user littlehakr”
That’s genuinely it. No dissertation required.
Claude Code handles everything:
Creates the virtual environment
Installs dependencies
Configures the MCP server
Adds it to your MCP config
You don’t manually edit claude_desktop_config.json. You don’t write bash scripts. You don’t sacrifice a keyboard to the tech gods. You just ask, and it happens.
It’s like having a really competent assistant who actually reads the documentation.
What You Can Actually Do With This
Once the MCP server is running, the possibilities get genuinely interesting. Here’s what you can ask Claude Code:
Content Strategy Research
“What topics is covering this month?”
“Compare publishing frequency across three tech newsletters”
“Identify content gaps between competing publications”
Writing Analysis
“Is ’s content getting easier or harder to read over time?”
“Show me sentiment trends in their recent posts”
“Extract key themes from the last 20 posts”
Competitive Intelligence
“Which newsletter has the most positive sentiment?”
“Compare keyword focus between two publications”
“Analyze ’s publishing cadence” (spoiler: it’s consistent)
Deep Content Dives
“Analyze this post for readability: https://techtiff.substack.com”
“Get full content and sentiment for this article”
“Show me how their writing style has evolved”
Claude Code automatically:
Selects the right MCP tools
Chains multiple calls together
Formats results into readable insights
You don’t need to say “use get_posts with handle=platformer and limit=10.” You just ask naturally, like you’re talking to a colleague who happens to be really good at their job.
The Real Power: Building Your Own
The Substack MCP server is just one example. A proof of concept, if you will.
The real unlock is understanding the pattern so you can build servers for anything you interact with regularly.
1. Identify Repetitive Tasks
What do you keep asking Claude to “search for” over and over?
GitHub repositories and recent commits?
Database queries for specific patterns?
Internal documentation that never shows up in web search?
API responses that you’re constantly reformatting?
If you’re copy-pasting the same type of request more than three times, you’re a candidate for an MCP server.
2. Build a Simple HTTP Client
Use Python with httpx or Node with axios. Add three critical things:
Rate limiting (respect the Terms of Service, don’t be that person)
Caching (TTL-based so you’re not hammering APIs)
Error handling (because networks are chaos and everything fails eventually)
3. Wrap It in MCP Protocol
Define tools Claude can call:
python
@server.list_tools()async def list_tools(): return [ Tool(name=”get_data”, description=”Fetch live data”), Tool(name=”analyze_data”, description=”Run analytics”) ]
This is where you define Claude’s new superpowers.
4. Configure Claude Code
Add to your MCP config, restart Claude Code, and you’re done.
Now Claude has native access to your data source. You’ve basically given Claude a direct line to whatever system you just integrated.
Why This Actually Matters
Most developers are stuck in what I call the “prompt engineering hamster wheel.”
They think the solution is always:
Better prompts (wordsmith harder!)
More examples (surely example #35 will work!)
Longer context windows (just paste everything)
But here’s the thing: the bottleneck isn’t the AI. It’s the interface.
When you build custom MCP servers, you fundamentally change what’s possible:
Eliminate token waste – No more endless “search for X, now refine that, now try this” back-and-forth
Get structured data – Pydantic models and clean JSON, not raw text that needs parsing
Control access patterns – Rate limiting, authentication, caching all on your terms
Build reusable tools – Use them across projects, share them with your team
You’re not asking Claude to be a search engine anymore. You’re giving it the tools to be an analyst, a researcher, a data scientist—whatever you need.
The Pattern Everyone Misses
Here’s what separates developers who are good at AI from developers who are building the future with AI:
Good developers ask better questions.
They optimize prompts. They craft perfect examples. They learn every feature.
Great developers change what’s possible to ask.
They build infrastructure. They create new capabilities. They extend what the AI can do.
When you build MCP servers, you’re not optimizing prompts. You’re expanding Claude’s fundamental capabilities.
It’s the difference between:
Asking Claude to “summarize this article” (limited by what you can paste into the context window)
Giving Claude a tool to fetch, parse, and analyze any article on the internet on demand
One is a better question. The other is a new superpower. And if you’ve ever dreamed of having superpowers, well... now you know how to give them to your AI.
Start Building Today
The Substack MCP server is fully open source and ready to use:
GitHub: Download for Free Here
Features: 7 tools for content research, built-in analytics, sentiment analysis
Setup time: Literally 30 seconds with Claude Code
Clone it. Install it. Use it. Break it. Learn from it.
Then build your own for:
Your company’s internal APIs
Database queries you run constantly
Your file system and project folders
Any third-party service you use daily
The pattern is the same. The possibilities are genuinely endless. And once you see what’s possible, you can’t unsee it.
Key Takeaways for Quick Wins
For content creators:
Research competitors without spending hours manually scraping
Analyze writing trends automatically across multiple publications
Track publishing patterns and identify what works
For developers:
Stop asking Claude to “search”: give it direct access to data
Build custom MCP servers for any data source you use regularly
Extend Claude’s capabilities with tools you control and maintain
For everyone:
MCP is how you unlock Claude’s real potential (not prompting harder)
The best AI workflows are built, not prompted into existence
Structured data beats messy web search results every single time
The Bottom Line
You can spend the next year perfecting your prompts, adding more examples, and wondering why Claude still doesn’t quite “get” what you need.
Or you can spend an afternoon building an MCP server that makes those prompts obsolete.
Your call. But I know which one actually scales.
Sub to the Secure Circuit
Ready for some more vibe-coding and AI-magic? Subscribe to follow the journey as we learn all that is needed to survive this ever-evolving AI landscape!
The AI Flow Club - Your Unfair Advantage
Are you passionate about AI and automation? We dive deep into awesome topics such as this setup inside our international community. Join our growing collective of innovators and builders at the AI Flow Club!
Why Join Us?
Collaborate with like-minded individuals
Learn from experts & everyday people who love AI
Share your projects and ideas
Stay updated on the latest trends
