The weekly community challenge is live. One winner gets $150 swag.
Prompt:
If you could wrap any public API as your own Agent tool, what would it be?
How to enter: Generate an MCP Server from a public API on the Postman API Network. Use the Postman MCP Client to make a request to your MCP server Share a link to your Collection in a Public Workspace and tell us which API you used in the comments below. Finish this sentence in your post: “This would help me ___.”
Prize: $150 swag
Deadline: Thursday, Sept 4, 10am BST / 2:30pm IST
Winner announced Friday, Sept 5. Go!
cough cough… rumor has it there’s a hackathon starting Sept 9 with a $500 cash prize. You’ll need MCP skills like this to compete.
Sharing this video from the amazing @sterlingchin here! He walks through the process of generating an MCP server from a Public API, used Postman’s MCP Client to test it, and saves the MCP request in a collection.
You should check it out. It’s definitely a helpful resource for this challenge!
API Used: NASA Exoplanet Archive TAP Service Collection Link: Postman
Why it’s different:
It transforms raw astrophysical data into actionable insight layers—usable by researchers, educators, mission concept teams, and sci‑fi worldbuilders.
This would help me bridge the gap between complex astronomical data and human curiosity, making the universe’s most fascinating discoveries accessible to everyone from researchers planning future missions to science fiction writers crafting believable alien worlds.
Wrapped Shodan’s REST API endpoints (Search, Host Information, Account, etc.) into MCP-compatible tools.
Generated a working MCP server (mcpServer.js) with Node.js that connects Postman (and Claude Desktop) to Shodan.
Created a Postman Collection where each request corresponds to a Shodan capability (searching for exposed services, checking host metadata, or monitoring account info).
How it works
Run the MCP server locally with Node.
Connect it to Postman as an MCP client to trigger Shodan requests through the collection.
Connect it to Claude Desktop as well, so I can query Shodan conversationally in natural language (e.g., “Find hosts running Apache on port 80”) and get results directly in chat.
Why I like it
I enjoyed this project because it bridges security APIs with AI workflows. Shodan is one of the most powerful security search engines, and wrapping it as an MCP tool makes it feel like having a “security analyst assistant” right inside Postman or Claude. It saves time, makes reconnaissance more accessible, and shows the potential of combining MCP with threat intelligence APIs.
This would help me turn Shodan into an AI-powered assistant for internet-wide reconnaissance, asset discovery, and security monitoring directly inside Postman and Claude.
Thanks to the Postman community for providing me with such a wonderful opportunity to explore, build, and share.
Color Harmony Agent: Intelligent Palette Picker for Developers
Problem
Designing beautiful, accessible color palettes shouldn’t feel like a guessing game but it often does. Developers and designers lose hours toggling between color tools, worrying about contrast ratios, and second-guessing choices. Bad color decisions can hurt UX, accessibility, and even user trust.
My Solution
Color Harmony Agent — an MCP-powered color companion that delivers curated, community-approved palettes right where you work.
This agent:
Works everywhere — deployed both as a website and a Postman MCP Agent.
Uses the COLOURlovers API to pull real, community-vetted palettes for instant inspiration.
Provides 1-click palette generation via two actions:
Generate Random – get spontaneous, serendipitous palettes.
Generate Inspiration – fetch the top trending palettes loved by the design community.
This would help me speed up my design process, stay consistent with branding, and ensure every UI I build is visually accessible without leaving Postman or juggling multiple tools.
How It Works
MCP Server Setup
Built an MCP server that connects to the COLOURlovers API.
The MCP Client fetches palette data dynamically, including:
Palette name
Hex codes
COLOURlovers link
Adds accessibility tips for contrast compliance.
User Experience
Open the website → click Generate → instantly see curated palettes.
Copy color codes with one click for immediate use in your project.
Why It Matters
Saves time: No more hunting for palettes across multiple tools.
Empowers developers: Good design decisions without needing a designer’s eye.
Boosts accessibility: Ensures color contrast and readability by default.
Sparks creativity: Community-powered palettes inspire unique, professional UI themes.
Real-World Impact
Early testers (fellow devs in my network) can use it for hackathon projects and client websites , instead of wasting a lot of time deciding which colors go well together. The result? Faster decisions, cleaner interfaces, and happier end-users.
Culture Compass Agent – IMDb + Open Library Explorer
I’ve transformed the IMDb API + Open Library API from separate entertainment databases into a cultural time-machine assistant that helps people explore stories across books and films.
Core superpowers:
StoryTwin Finder – Ask for a movie, and it finds book counterparts with similar themes (e.g., Interstellar → “Contact” by Carl Sagan). Read-Before-You-Watch – Recommends original novels behind movies or series. Genre DNA Analyzer – Maps how genres evolved across decades (sci-fi boom in 60s vs superhero wave in 2000s). Hidden Gems Radar – Finds underrated films/books that match your taste but never hit mainstream. Cross-Culture Explorer – Compare how different regions adapt the same story (e.g., Shakespeare → Bollywood remakes). Smart MCP Connector – Natural language queries like “Show me all dystopian books adapted into movies after 2010”.
APIs Used: IMDb API + Open Library API Collection Link:Public Postman Workspace(insert your link)
Unique Test Case
Request via MCP Client:
Find me sci-fi stories that exist as both books and movies,
but were critically acclaimed in books yet underrated in films.
Narrative → “Several legendary sci-fi novels lose depth when adapted to screen. This helps readers discover original brilliance beyond the film versions.”
Why it’s different:
It fuses literature + cinema into one intelligent agent, turning cultural exploration into a playful but insightful journey. Researchers, students, writers, and casual fans can all uncover how humanity tells the same story across mediums.
This would help me uncover hidden cultural connections, bridging the worlds of books and films in a way that fuels creativity, learning, and storytelling.
The World’s Vital Signs at Your Fingertips Planetary Pulse Agent – UN SDG Data Navigator
I’ve transformed the UN Data (SDG Indicators API) from static spreadsheets into a living global heartbeat monitor that turns dry metrics into actionable human stories.
Core superpowers:
Global Vital Signs – Track each nation’s well-being like a health chart (poverty, water, education, emissions). Inequality MRI – Reveal hidden gaps across gender, income, and urban/rural divides. Future Forecasting – Run “what-if” scenarios with SDG data (e.g., What if renewable energy doubles in India by 2030?). Geo-Lens Explorer – Instantly compare progress across countries or regions. Narrative Generator – Translate raw numbers into compelling, contextual insights. Adaptive MCP Connector – Smartly handles 400+ SDG indicators, even if schema or naming evolves.
API Used: UN Data API – Sustainable Development Goals Indicators Collection Link:Public Postman Workspace(insert your link)
Unique Test Case
Request via MCP Client:
Show me the progress of Sub-Saharan Africa on “access to clean cooking fuels” from 2000–2022,
and predict what happens if the current trend continues until 2030.
Expected Response:
Historical Trend → 7% in 2000 → 23% in 2022
Forecast → ~30% by 2030 (well below SDG target of universal access)
Narrative → “If progress continues at this pace, 7 out of 10 families may still lack clean cooking energy by 2030—impacting health, forests, and gender equality.”
Action Layer → Suggests targeted policies (subsidies for clean stoves, solar cooking adoption, regional cooperation).
Why it’s different:
Instead of raw statistics, this agent delivers living intelligence layers—usable by policymakers, NGOs, educators, journalists, and storytellers who need clarity, not complexity.
This would help me bridge the gap between overwhelming global data and human understanding, empowering smarter action on the world’s most urgent challenges.
Description: Built a Universal Notification Hub MCP server that unifies Twilio’s messaging, voice, and notification services into a single AI-accessible interface. The server wraps 8 key Twilio endpoints across SMS, Voice Calls, Notify services, and Messaging Services - enabling AI agents to send notifications across multiple channels (SMS, WhatsApp, voice calls) with delivery tracking and phone number validation, all through one streamlined API.
This would help me eliminate notification fragmentation by providing AI agents with a single, powerful interface to orchestrate multi-channel communication campaigns without managing separate API integrations for each channel.
Financial Intelligence MCP Server - Alpha Vantage Integration
I built an MCP Server for the Alpha Vantage Financial API with 5 comprehensive financial intelligence tools.
What I made
Wrapped Alpha Vantage’s REST API endpoints (Stock Quotes, Company Overviews, Technical Analysis, Crypto Prices, Market Sentiment) into MCP-compatible tools.
Generated a working MCP server (server.js) with Node.js that transforms financial data into AI-accessible tools.
Created a Postman Collection with MCP requests demonstrating each financial capability.
Key Features
Real-time Stock Quotes with price, volume, and momentum analysis
Company Fundamentals with P/E ratios, market cap, and sector data
Technical Indicators (RSI, MACD, SMA/EMA) for trading signals
Cryptocurrency Prices with USD conversion rates
Market Sentiment Analysis from news and social media
Sample Tools & Responses:
Stock Quote (AAPL):
📈 AAPL Stock Quote
Current Price: $238.47
Change: 8.75 (3.8090%)
Volume: 66,061,716
Day Range: $234.36 - $238.85
Previous Close: $229.72
Trading Day: 2025-09-03
Analysis: 📈 Positive momentum with 3.81% move from previous close.
Company Overview (TSLA):
🏢 Apple Inc (AAPL)
Sector: TECHNOLOGY
Industry: ELECTRONIC COMPUTERS
Market Cap: $3,409,136,583,000
P/E Ratio: 34.86
P/B Ratio: 51.79
Dividend Yield: 0.0044
52 Week High: $259.18
52 Week Low: $168.8
Description: Apple Inc. is an American multinational technology company that specializes in consumer electronics, computer software, and online services. Apple is the world's largest technology company by revenue (totalling $274.5 billion in 2020) and, since January 2021, the world's most valuable company. As of...
Investment Metrics:
ROE: 1.498
Profit Margin: 0.243
Beta: 1.165
Technical Analysis (NVDA RSI):
📊 NVDA Technical Analysis - RSI
Latest Date: 2025-09-03
Value: {
"RSI": "41.0298"
}
Signal: 🟡 Neutral
Trading Insight: Use this RSI data to inform your trading strategy. Combined with other indicators for best results.
This would help me create AI-powered financial analysis tools that provide real-time market insights, technical analysis, and investment intelligence, enabling automated trading strategies and intelligent portfolio management through natural language interfaces.
Thanks to the Postman community for this incredible opportunity to explore MCP integration with financial APIs!
It is interesting seeing how two services can connect to each other using MCP server. For this task, I used the Notion API Workspace to do the following:
Description: The function of Notion is to create and organize content in a structured way using a block-based editor. This project uses the Notion MCP server to enable AI agents to interact with Notion with the ability to do the following right from the Claude Desktop.
But first, you will need your Notion API token and other parameters which you can access here.
Search the Notion Workspace
Comment on a page which notifies the user of a new reaction automatically
Get a user information
Perform different database actions like querying, retrieving database entries, and adding new entries (more like adding a database within a database)
This would help me turn my prompt into actionable request to connect with Notion without the UI. This program will be efficient for quick access and connection to a database right from Claude or any other provider that allows the desktop configuration with the Notion MCP server commands.
Generate an MCP Server from a public API on the Postman API Network.
cough cough… rumor has it there’s a hackathon starting Sept 9 with a $500 cash prize. You’ll need MCP skills like this to compete.
Cosmic Discovery Agent – NASA Exoplanet Explorer
Habitability intelligence: multi-factor scoring + Earth comparisons
What I made
Public Workspace Collection: 
MCP Server Repo: 
Thanks to the Postman community for providing me with such a wonderful opportunity to explore, build, and share.
How It Works
Culture Compass Agent – IMDb + Open Library Explorer
StoryTwin Finder – Ask for a movie, and it finds book counterparts with similar themes (e.g., Interstellar → “Contact” by Carl Sagan).
Genre DNA Analyzer – Maps how genres evolved across decades (sci-fi boom in 60s vs superhero wave in 2000s).
Hidden Gems Radar – Finds underrated films/books that match your taste but never hit mainstream.
Cross-Culture Explorer – Compare how different regions adapt the same story (e.g., Shakespeare → Bollywood remakes).
Smart MCP Connector – Natural language queries like “Show me all dystopian books adapted into movies after 2010”.
Unique Test Case
Narrative → “Several legendary sci-fi novels lose depth when adapted to screen. This helps readers discover original brilliance beyond the film versions.”
The World’s Vital Signs at Your Fingertips
Planetary Pulse Agent – UN SDG Data Navigator
Global Vital Signs – Track each nation’s well-being like a health chart (poverty, water, education, emissions).
Inequality MRI – Reveal hidden gaps across gender, income, and urban/rural divides.
Future Forecasting – Run “what-if” scenarios with SDG data (e.g., What if renewable energy doubles in India by 2030?).
Narrative Generator – Translate raw numbers into compelling, contextual insights.
Historical Trend → 7% in 2000 → 23% in 2022
Forecast → ~30% by 2030 (well below SDG target of universal access)
Action Layer → Suggests targeted policies (subsidies for clean stoves, solar cooking adoption, regional cooperation).
Financial Intelligence MCP Server - Alpha Vantage Integration
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Challenge Winner