Awesome Mcp Use Cases

Real-world workflows powered by AI agents and MCP servers. Each use case shows you what to build, which servers to connect, and the exact configuration to get started.

This is not a list of servers. This is a list of results.

Use Cases License: MIT

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Contents

• Sales and Revenue
• Marketing and Growth
• Engineering and DevOps
• Finance and Compliance
• Research and Intelligence
• Customer Success
• Crypto and Trading
• Content and Media
• HR and People
• Data and Analytics

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Sales and Revenue

Automate Lead Prospecting

Problem: Your SDR spends 3 hours/day researching leads manually.

Result: Ask your AI "Find 20 SaaS companies in Berlin with 50-200 employees that raised Series A in the last 6 months" and get a qualified list with emails, LinkedIn profiles, and company data — in 30 seconds.

{
  "mcpServers": {
    "companies": { "url": "${VINKIUS_CRUNCHBASE_MCP_URL}" },
    "emails": { "url": "${VINKIUS_HUNTER_MCP_URL}" },
    "enrichment": { "url": "${VINKIUS_APOLLOIO_MCP_URL}" },
    "crm": { "url": "${VINKIUS_HUBSPOT_MCP_URL}" }
  }
}

How it works:

1. AI searches Crunchbase for companies matching your criteria
2. Hunter finds decision-maker emails
3. Apollo enriches with job titles, company size, tech stack
4. Results are pushed to HubSpot as qualified leads

Deploy: Crunchbase · Hunter · Apollo · HubSpot

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Prepare for Sales Calls in 60 Seconds

Problem: AEs scramble to research prospects before calls.

Result: "Prepare a briefing for my call with [company] in 10 minutes" → AI returns company financials, recent news, tech stack, open job postings, and LinkedIn profiles of attendees.

{
  "mcpServers": {
    "company": { "url": "${VINKIUS_CRUNCHBASE_MCP_URL}" },
    "news": { "url": "${VINKIUS_NEWSCATCHER_MCP_URL}" },
    "tech": { "url": "${VINKIUS_BUILTWITH_MCP_URL}" },
    "profiles": { "url": "${VINKIUS_LINKEDIN_MCP_URL}" }
  }
}

Deploy: Crunchbase · Newscatcher · BuiltWith · LinkedIn

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Track Deal Pipeline Health

Problem: RevOps needs real-time visibility into pipeline without manual CRM data exports.

Result: "Show me all deals closing this quarter that haven't had activity in 7+ days" → AI queries CRM, flags at-risk deals, and posts a summary to Slack.

{
  "mcpServers": {
    "crm": { "url": "${VINKIUS_HUBSPOT_MCP_URL}" },
    "alerts": { "url": "${VINKIUS_SLACK_MCP_URL}" },
    "sheets": { "url": "${VINKIUS_GOOGLE_SHEETS_MCP_URL}" }
  }
}

Deploy: HubSpot · Slack · Google Sheets

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Marketing and Growth

Monitor Competitor Content

Problem: You need to know what competitors publish, but manual monitoring is time-consuming.

Result: "What did [competitor] publish this week?" → AI scrapes their blog, social media, and news mentions, then summarizes key themes and positioning changes.

{
  "mcpServers": {
    "search": { "url": "${VINKIUS_EXA_AI_MCP_URL}" },
    "news": { "url": "${VINKIUS_NEWSAPI_MCP_URL}" },
    "social": { "url": "${VINKIUS_TWITTER_MCP_URL}" },
    "traffic": { "url": "${VINKIUS_SIMILARWEB_MCP_URL}" }
  }
}

Deploy: Exa AI · NewsAPI · X/Twitter · SimilarWeb

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Audit Your SEO Performance

Problem: SEO reports take hours to compile across multiple tools.

Result: "Compare our organic traffic this month vs last month and list our top 10 declining pages" → AI pulls analytics, checks SERPs, and recommends content updates.

{
  "mcpServers": {
    "analytics": { "url": "${VINKIUS_GA_MCP_URL}" },
    "serp": { "url": "${VINKIUS_SERPER_MCP_URL}" },
    "search": { "url": "${VINKIUS_EXA_AI_MCP_URL}" }
  }
}

Deploy: Google Analytics · Serper · Exa AI

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Launch an Email Campaign

Problem: Creating segmented email campaigns requires switching between 4 tools.

Result: "Create an email campaign for users who signed up in the last 30 days but haven't activated" → AI segments your audience, drafts the email, and schedules the send.

{
  "mcpServers": {
    "email": { "url": "${VINKIUS_MAILCHIMP_MCP_URL}" },
    "crm": { "url": "${VINKIUS_HUBSPOT_MCP_URL}" },
    "analytics": { "url": "${VINKIUS_MIXPANEL_MCP_URL}" }
  }
}

Deploy: Mailchimp · HubSpot · Mixpanel

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Engineering and DevOps

Triage Production Incidents

Problem: On-call engineers waste precious minutes switching between Sentry, logs, and Slack.

Result: "What caused the spike in 500 errors in the last hour?" → AI checks Sentry for new errors, pulls relevant logs from Datadog, correlates with recent deployments, and posts a summary to the incident channel.

{
  "mcpServers": {
    "errors": { "url": "${VINKIUS_SENTRY_MCP_URL}" },
    "monitoring": { "url": "${VINKIUS_DATADOG_MCP_URL}" },
    "incidents": { "url": "${VINKIUS_PAGERDUTY_MCP_URL}" },
    "comms": { "url": "${VINKIUS_SLACK_MCP_URL}" }
  }
}

Deploy: Sentry · Datadog · PagerDuty · Slack

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Automate Sprint Planning

Problem: Grooming sessions drag because nobody has context on the backlog.

Result: "Summarize all unestimated tickets in the current sprint and suggest story points based on similar past tickets" → AI analyzes Jira history, estimates effort, and adds comments with reasoning.

{
  "mcpServers": {
    "tickets": { "url": "${VINKIUS_JIRA_MCP_URL}" },
    "docs": { "url": "${VINKIUS_CONFLUENCE_MCP_URL}" },
    "git": { "url": "${VINKIUS_GITHUB_MCP_URL}" }
  }
}

Deploy: Jira · Confluence · GitHub

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Monitor Infrastructure Costs

Problem: AWS bills spiral and nobody notices until month-end.

Result: "Show me our top 5 most expensive AWS services this week compared to last week" → AI queries cost data, identifies anomalies, and alerts the team.

{
  "mcpServers": {
    "cloud": { "url": "${VINKIUS_AWS_S3_MCP_URL}" },
    "alerts": { "url": "${VINKIUS_SLACK_MCP_URL}" },
    "sheets": { "url": "${VINKIUS_GOOGLE_SHEETS_MCP_URL}" }
  }
}

Deploy: AWS · Slack · Google Sheets

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Finance and Compliance

Analyze SEC Filings

Problem: Reading 10-K filings takes hours. Comparing across companies takes days.

Result: "Compare Apple and Microsoft's revenue growth, R&D spending, and risk factors from their latest 10-K filings" → AI extracts data from EDGAR, structures it, and produces a comparison table.

{
  "mcpServers": {
    "filings": { "url": "${VINKIUS_SEC_EDGAR_MCP_URL}" },
    "financials": { "url": "${VINKIUS_SEC_EDGAR_FINANCIALS_MCP_URL}" },
    "news": { "url": "${VINKIUS_NEWSCATCHER_MCP_URL}" },
    "economic": { "url": "${VINKIUS_FRED_MCP_URL}" }
  }
}

Deploy: SEC EDGAR · SEC Financials · Newscatcher · FRED

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Track Inflation and Economic Indicators

Problem: Macro analysts toggle between FRED, BLS, and ECB for data updates.

Result: "What is the current CPI, unemployment rate, and 10-year yield? Compare to 6 months ago." → AI pulls data from multiple government sources and presents a concise macro dashboard.

{
  "mcpServers": {
    "fed": { "url": "${VINKIUS_FRED_MCP_URL}" },
    "bls": { "url": "${VINKIUS_BLS_CPI_MCP_URL}" },
    "ecb": { "url": "${VINKIUS_ECB_MCP_URL}" },
    "treasury": { "url": "${VINKIUS_US_TREASURY_MCP_URL}" }
  }
}

Deploy: FRED · BLS CPI · ECB · US Treasury

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Research and Intelligence

Analyze NASA Space Data

Problem: Researchers need to cross-reference asteroid data, Mars imagery, and space weather in separate portals.

Result: "Show me near-Earth objects detected this week with diameter > 100m and their closest approach dates" → AI queries NASA NEO API and presents an impact risk assessment.

{
  "mcpServers": {
    "nasa": { "url": "${VINKIUS_NASA_FULL_MCP_URL}" },
    "asteroids": { "url": "${VINKIUS_NASA_ASTEROIDS_MCP_URL}" },
    "weather": { "url": "${VINKIUS_NASA_DONKI_MCP_URL}" },
    "images": { "url": "${VINKIUS_NASA_APOD_MCP_URL}" }
  }
}

Deploy: NASA Full · NASA Asteroids · NASA Space Weather · NASA APOD

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Monitor Global Health Trends

Problem: Epidemiologists need to correlate WHO data with local CDC reports.

Result: "What are the top 5 infectious diseases by case count globally this month? Cross-reference with CDC alerts for the US." → AI combines WHO and CDC data into a surveillance summary.

{
  "mcpServers": {
    "who": { "url": "${VINKIUS_WHO_GHO_MCP_URL}" },
    "cdc": { "url": "${VINKIUS_CDC_MCP_URL}" },
    "fda": { "url": "${VINKIUS_FDA_MCP_URL}" },
    "news": { "url": "${VINKIUS_NEWSAPI_MCP_URL}" }
  }
}

Deploy: WHO · CDC · FDA · NewsAPI

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Track Weather and Natural Disasters

Problem: Emergency managers need real-time weather, earthquake, and air quality data from multiple agencies.

Result: "Are there any severe weather alerts, earthquakes above 4.0, or poor air quality events in California right now?" → AI queries NOAA, USGS, and EPA simultaneously.

{
  "mcpServers": {
    "weather": { "url": "${VINKIUS_NOAA_FULL_MCP_URL}" },
    "earthquakes": { "url": "${VINKIUS_USGS_MCP_URL}" },
    "air": { "url": "${VINKIUS_EPA_AIRNOW_MCP_URL}" },
    "disasters": { "url": "${VINKIUS_FEMA_MCP_URL}" }
  }
}

Deploy: NOAA · USGS · EPA · FEMA

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Customer Success

Predict Churn Risk

Problem: CSMs don't know which accounts are at risk until it's too late.

Result: "Which customers haven't logged in for 14+ days and have open support tickets?" → AI cross-references product analytics with support tickets and flags accounts.

{
  "mcpServers": {
    "analytics": { "url": "${VINKIUS_MIXPANEL_MCP_URL}" },
    "support": { "url": "${VINKIUS_ZENDESK_MCP_URL}" },
    "crm": { "url": "${VINKIUS_HUBSPOT_MCP_URL}" },
    "comms": { "url": "${VINKIUS_SLACK_MCP_URL}" }
  }
}

Deploy: Mixpanel · Zendesk · HubSpot · Slack

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Crypto and Trading

Monitor Crypto Portfolio

Problem: Traders check 5 different sites for prices, on-chain data, and news.

Result: "Show my portfolio performance today, highlight any tokens with >10% move, and check if there are whale transactions on ETH" → Real-time intelligence in one query.

{
  "mcpServers": {
    "prices": { "url": "${VINKIUS_COINGECKO_MCP_URL}" },
    "onchain": { "url": "${VINKIUS_ETHERSCAN_MCP_URL}" },
    "exchange": { "url": "${VINKIUS_BINANCE_MCP_URL}" },
    "news": { "url": "${VINKIUS_NEWSCATCHER_MCP_URL}" }
  }
}

Deploy: CoinGecko · Etherscan · Binance · Newscatcher

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Content and Media

Scout Gaming Trends

Problem: Game studios need to track what's trending on Steam, Twitch, and Roblox.

Result: "What are the top 5 trending games on Steam this week? Cross-reference with Twitch viewership and Roblox concurrent players." → AI produces a competitive landscape report.

{
  "mcpServers": {
    "steam": { "url": "${VINKIUS_STEAM_HYPE_MCP_URL}" },
    "twitch": { "url": "${VINKIUS_TWITCH_MCP_URL}" },
    "roblox": { "url": "${VINKIUS_ROBLOX_MCP_URL}" },
    "games": { "url": "${VINKIUS_IGDB_MCP_URL}" }
  }
}

Deploy: Steam · Twitch · Roblox · IGDB

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Build a Music Discovery Agent

Problem: Music curators spend hours finding emerging artists across platforms.

Result: "Find independent artists on Spotify with <10K followers who released tracks this month in the lo-fi hip hop genre" → AI searches Spotify, cross-references with SoundCloud and MusicBrainz.

{
  "mcpServers": {
    "spotify": { "url": "${VINKIUS_SPOTIFY_MCP_URL}" },
    "soundcloud": { "url": "${VINKIUS_SOUNDCLOUD_MCP_URL}" },
    "musicdb": { "url": "${VINKIUS_MUSICBRAINZ_MCP_URL}" }
  }
}

Deploy: Spotify · SoundCloud · MusicBrainz

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HR and People

Screen Candidates at Scale

Problem: Recruiters manually review 200+ applications per role.

Result: "From our open Backend Engineer role, list the top 10 candidates ranked by years of Python experience, relevant open source contributions, and education" → AI analyzes ATS data and enriches with LinkedIn profiles.

{
  "mcpServers": {
    "ats": { "url": "${VINKIUS_GREENHOUSE_MCP_URL}" },
    "profiles": { "url": "${VINKIUS_LINKEDIN_MCP_URL}" },
    "github": { "url": "${VINKIUS_GITHUB_MCP_URL}" },
    "scheduling": { "url": "${VINKIUS_CALENDLY_MCP_URL}" }
  }
}

Deploy: Greenhouse · LinkedIn · GitHub · Calendly

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Data and Analytics

Build a Live Business Dashboard

Problem: Execs want a single view but data lives in 5 systems.

Result: "Show me today's revenue from Stripe, new signups from our database, support ticket volume from Zendesk, and traffic from Google Analytics" → AI queries all sources and produces a real-time executive summary.

{
  "mcpServers": {
    "revenue": { "url": "${VINKIUS_STRIPE_MCP_URL}" },
    "database": { "url": "${VINKIUS_POSTGRESQL_MCP_URL}" },
    "support": { "url": "${VINKIUS_ZENDESK_MCP_URL}" },
    "traffic": { "url": "${VINKIUS_GA_MCP_URL}" }
  }
}

Deploy: Stripe · PostgreSQL · Zendesk · Google Analytics

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Analyze Agricultural Data

Problem: Agronomists need satellite imagery, weather forecasts, and crop data from disconnected government databases.

Result: "Show me soil moisture levels for Iowa corn belt, current weather forecast, and compare this year's USDA crop progress vs 5-year average" → AI combines satellite, weather, and USDA data.

{
  "mcpServers": {
    "satellite": { "url": "${VINKIUS_EOSDA_MCP_URL}" },
    "weather": { "url": "${VINKIUS_NOAA_FORECAST_MCP_URL}" },
    "crops": { "url": "${VINKIUS_USDA_NASS_MCP_URL}" },
    "nutrition": { "url": "${VINKIUS_USDA_FOOD_MCP_URL}" }
  }
}

Deploy: EOSDA · NOAA · USDA NASS · USDA Food

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How It Works

Every use case above follows the same pattern:

1. Deploy the MCP servers you need from vinkius.com
2. Create a .mcp.json file in your project with the configuration shown
3. Set environment variables with your SSE endpoint URLs
4. Ask your AI assistant (Claude Code, Cursor, or any MCP client) in natural language

The AI automatically discovers the connected tools and uses them to answer your questions with real, live data — not hallucinated responses.

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License

MIT — Vinkius Labs