Prompt PPLX.ai:
"what are some good ideas for MCP services to make. that doesnt already exist in the marketplace? Services where there is a growing need?"
Based on current market trends and emerging gaps in the managed cloud platform (MCP) services landscape, here are innovative service ideas that address growing needs:
With 98% of IT decision-makers reporting cloud skills gaps[1] and 75% of businesses struggling with talent shortages[2], there's a massive opportunity for:
- AI-powered cloud management platforms that require minimal technical expertise
- Automated cloud optimization services that learn from usage patterns
- Virtual cloud engineers powered by AI that can handle routine tasks and provide guidance
70% of enterprise applications are expected to be AI-powered by 2025[2], creating demand for:
- Predictive failure detection and auto-remediation services
- AI-powered cost forecasting and optimization recommendations
- Intelligent workload placement based on performance and cost predictions
The growing telemedicine market needs specialized services for:
- HIPAA-compliant cloud infrastructure management
- Real-time health data synchronization across multiple platforms
- Automated compliance monitoring and reporting
With IoT devices expected to reach 34.7 billion by 2028[3], there's growing demand for:
- Centralized management of distributed edge computing resources
- Real-time IoT data processing and analytics at the edge
- Automated edge device provisioning and security management
As 60% of enterprises consider sustainability a key factor in cloud provider selection[4], opportunities include:
- Carbon footprint tracking and optimization for cloud workloads
- Automated workload scheduling based on renewable energy availability
- Green cloud migration services that prioritize environmental impact
- Real-time energy consumption monitoring and optimization
- Automated resource scaling based on energy costs and availability
- Sustainable cloud architecture consulting and implementation
With increasing cybersecurity threats, there's demand for:
- Continuous security posture assessment and remediation
- Automated zero-trust network implementation across multi-cloud environments
- AI-powered threat hunting specifically for cloud environments
As quantum computing advances, organizations need:
- Quantum-resistant encryption implementation services
- Legacy system migration to quantum-safe cloud architectures
- Ongoing quantum readiness assessment and updates
With 89% of enterprises using multi-cloud strategies[4], there's need for:
- Centralized data lineage tracking across multiple cloud providers
- Automated data compliance enforcement across clouds
- Cross-cloud data synchronization and backup services
- Containerized application deployment across any cloud platform
- Vendor-neutral cloud migration services
- Multi-cloud disaster recovery orchestration
- Seamless workload distribution between cloud and edge environments
- Real-time data synchronization between edge devices and cloud storage
- Automated failover between cloud and edge computing resources
- Decentralized cloud storage management
- Blockchain-based cloud service verification and audit trails
- Smart contract automation for cloud resource provisioning
- Automated workload migration to the most cost-effective cloud regions
- Spot instance optimization across multiple cloud providers
- Dynamic resource allocation based on real-time pricing
- Continuous performance monitoring across cloud providers
- Automated performance optimization recommendations
- Cloud provider performance comparison and selection services
- Visual cloud architecture design and deployment tools
- Automated infrastructure provisioning based on application requirements
- Self-service cloud resource management for non-technical users
- Legacy application containerization and cloud-native transformation
- Microservices architecture consulting and implementation
- Automated application performance optimization for cloud environments
These service ideas address the critical skills shortage[5][3], growing complexity of multi-cloud environments[4], and increasing demand for AI-powered automation[2] that organizations face in 2025. The key is to focus on services that reduce complexity, automate manual processes, and provide specialized expertise that internal teams typically lack.
Several concepts from your cloud services gist could be adapted into powerful Model Context Protocol servers for the AI agent ecosystem:
Adapting "AI-Driven Predictive Cloud Operations" into MCP:
- Predictive incident response MCP server that connects to monitoring tools
- Automated cost optimization agent that interfaces with cloud billing APIs
- Infrastructure-as-Code assistant that manages Terraform and CloudFormation
Why High Score:
- Addresses the 98% cloud skills gap mentioned in your gist
- Clear enterprise value with measurable ROI
- Perfect fit for MCP's connectivity model
Building on "Healthcare Cloud Compliance-as-a-Service":
- HIPAA/SOC2 monitoring MCP server across all business tools
- Real-time compliance reporting agent that connects to audit systems
- Automated policy enforcement across development and production environments
Enterprise Appeal:
- Addresses growing regulatory complexity
- Reduces manual compliance overhead
- High willingness to pay for risk reduction
From "Unified Multi-Cloud Data Governance":
- Cross-cloud resource management MCP server
- Automated failover coordination between cloud providers
- Cost arbitrage agent that moves workloads based on real-time pricing
| Traditional Cloud Services | MCP Agent Services |
|---|---|
| Infrastructure-focused | Intelligence-focused |
| High capital requirements | Low barrier to entry |
| Long sales cycles | Faster adoption |
| Vendor lock-in models | Standardized connectivity |
- Cloud Cost Optimization Agent - Connect to AWS/Azure/GCP billing APIs
- Security Posture Monitor - Integrate with existing security tools
- Performance Benchmarking Agent - Automated testing across environments
- Green Cloud Optimization - Carbon tracking across cloud workloads
- Zero-Trust Network Agent - Automated policy enforcement
- Edge Computing Coordinator - Hybrid cloud-edge orchestration
Advantages of MCP Approach:
- Lower development costs - No need to build integrations from scratch
- Faster time to market - Leverage existing MCP connectivity
- Higher margins - Focus on AI intelligence rather than infrastructure
- Easier scaling - Standard protocol adoption
Market Timing: The cloud skills shortage (98% gap) creates perfect conditions for AI agents that can handle complex cloud operations with minimal human expertise.
- Start with Developer Tools - Build MCP servers for DevOps workflows first
- Target Compliance Pain Points - Regulatory requirements create strong buying motivation
- Focus on Cost Optimization - Immediate, measurable ROI attracts enterprise buyers
- Leverage Existing Cloud APIs - Don't rebuild infrastructure, enhance it with intelligence
The key insight is that while traditional cloud services require significant infrastructure investment, MCP agents can deliver similar value through intelligent automation and connectivity - making them more attractive for both builders and funders in 2025.
[1] https://freshstance.co.uk/telecoms/how-managed-services-help-close-the-growing-cloud-skills-gap/ [2] https://cloudserv.ai/emerging-trends-in-multi-cloud-and-hybrid-cloud-strategies-for-2025/ [3] https://www.ahead.com/resources/trends-in-managed-services-in-2025/ [4] https://www.itconvergence.com/blog/top-strategic-cloud-computing-predictions-for-2025-and-onwards/ [5] https://cloudmetric.ca/managed-it/emerging-trends-in-managed-services-for-2025/ [6] https://www.intelegain.com/5-emerging-cloud-computing-trends-for-2025-a-look-into-the-future/ [7] https://www.cloudkeeper.com/insights/blog/top-emerging-cloud-computing-trends-statistics-2025-beyond [8] https://www.rib-software.com/en/blogs/cloud-computing-risks-and-challenges [9] https://innovativesol.com/managed-cloud-services/ [10] https://innovativesol.com/how-to-leverage-managed-cloud-services-to-future-proof-your-business/ [11] https://www.veritis.com/blog/10-emerging-technologies-that-make-cloud-stand-out/ [12] https://blog.technologent.com/cloud-skills-gap [13] https://zeet.co/blog/best-cloud-for-startup [14] https://www.linkedin.com/pulse/future-emerging-trends-managed-services-2025-beyond-ojjve [15] https://www.hurix.com/blogs/addressing-skills-gaps-in-teams-when-adopting-cloud-managed-it-services/ [16] https://syntaxscenarios.com/cloud-computing/cloud-computing-business-ideas-in-2024/ [17] https://www.visma.com/resources/content/cloud-computing-trends-that-will-reshape-business-in-2025 [18] https://www.sangfor.com/blog/cloud-and-infrastructure/addressing-cloud-computing-skills-gap-strategies-and-solutions [19] https://www.cloudsaver.com/resources/articles/msp-2024-innovation/ [20] https://www.techtarget.com/searchcloudcomputing/tip/Is-there-still-a-cloud-skills-gap [21] https://www.gartner.com/reviews/market/strategic-cloud-platform-services [22] https://www.cloudzero.com/blog/cloud-service-providers/ [23] https://builtin.com/articles/cloud-computing-examples [24] https://www.nops.io/blog/best-cloud-management-platforms-software-tools-solutions/ [25] https://www.couchbase.com/blog/managed-cloud-services/ [26] https://www.linkedin.com/pulse/managed-cloud-services-market-2025-business-sid-earley-pijze [27] https://www.geeksforgeeks.org/blogs/top-cloud-platform-service-providers/ [28] https://www.3mindsdigital.com/blog/the-cloud-managed-services-guide-every-business-needs-in-2025/ [29] https://www.uninets.com/blog/cloud-computing-examples [30] https://cloud.google.com/terms/services [31] https://community.nasscom.in/index.php/communities/cloud-computing/cloud-2025-are-we-building-future-or-repeating-past [32] https://www.digitalocean.com/resources/articles/cloud-computing-tools [33] https://www.horizoniq.com/blog/companies-are-leaving-cloud/ [34] https://www.softwareone.com/en/now/cloud-skills-report [35] https://www.economize.cloud/blog/cloud-service-providers/
Comprehensive analysis of MCP (Model Context Protocol) ideas based on current market trends and the emerging startup landscape around MCP technology.
MCP Market Context for 2025
The MCP ecosystem is experiencing rapid growth, with entrepreneurs envisioning "AI agents for almost every niche" now that a robust connector layer exists[1]. The market is moving toward AI agents that get real work done rather than just responding to queries[1].
Scoring Framework
I'll evaluate MCP ideas across four key dimensions:
High-Scoring MCP Categories (8-10 Overall)
1. Domain-Specialized Copilots
Score: 9/10
Examples from the ecosystem include:
Why High Score:
2. Developer and DevOps Agents
Score: 8.5/10
Key opportunities:
Why High Score:
Medium-High Scoring Categories (6-8)
3. Personal Productivity Agents
Score: 7.5/10
Examples:
Strengths: Large addressable market, clear consumer value
Challenges: Lower price points, harder to achieve defensibility
4. Multi-Agent Orchestration Platforms
Score: 7/10
Infrastructure plays:
Strengths: Platform business model, high switching costs
Challenges: More complex to build, requires ecosystem adoption
Lower-Scoring Categories (4-6)
5. Consumer Multi-Modal Assistants
Score: 5.5/10
Challenges:
2025 Build Recommendations
Top Priority: Developer-Focused MCP Servers
The market is "coding-centric" with developers as early adopters[2]. Focus on:
High Opportunity: Vertical Industry Copilots
Following the Harvey (legal AI) model, target specific industries with:
Emerging Opportunity: MCP Marketplaces
The ecosystem needs "npm for MCP" - platforms for discovery, sharing, and monetization of MCP servers[2][1].
Funding Landscape Insights
What VCs Are Looking For:
Red Flags for Funding:
Key Success Factors for 2025
The MCP ecosystem is experiencing a "Cambrian explosion of ideas"[1], but success will come to those who combine deep domain understanding with MCP's standardized connectivity to create genuinely useful AI agents that integrate seamlessly into existing workflows.
[1] https://rickxie.cn/blog/MCP/
[2] https://a16z.com/a-deep-dive-into-mcp-and-the-future-of-ai-tooling/
[3] https://gist.githubusercontent.com/eonist/45d483606197af411f0e0a9536c7194d/raw/f04075b1c203c18a7743e50af8a1f5532737c85b/MCP%2520ideas%2520for%25
[4] https://github.com/punkpeye/awesome-mcp-servers
[5] https://community.n8n.io/t/what-i-learnt-after-building-a-bunch-of-mcp-servers-in-n8n/107628
[6] https://standardbeagle.com/how-to-implement-agentic-ai-in-product-teams/
[7] https://www.youtube.com/watch?v=japoGcdbZGw
[8] https://apify.com/apify/example-github-gist/api/mcp
[9] https://www.microsoft.com/en-us/power-platform/blog/2025/07/07/dataverse-mcp/
[10] https://dev.to/copilotkit/30-mcp-ideas-with-complete-source-code-d8e
[11] https://www.youtube.com/watch?v=FRogt98OF80
[12] https://github.com/PipedreamHQ/awesome-mcp-servers
[13] https://digma.ai/15-best-mcp-servers/
[14] https://www.reddit.com/r/ClaudeAI/comments/1lx4277/what_tools_and_mcps_are_you_using_with_claude/
[15] https://dev.to/challenges/algolia-2025-07-09
[16] https://thesequence.substack.com/p/the-sequence-opinion-542-some-ideas
[17] https://gist.github.com/eonist
[18] https://www.productplan.com/glossary/gist-planning/
[19] https://x.com/gregisenberg/status/1909589402017288272?lang=en
[20] https://eoncodes.substack.com/p/how-to-write-high-quality-mcp-prompts
[21] https://itamargilad.com/gist-framework/