Should You Use a Gateway Vendor or Build Directly on MCP?
Blog post from Fastn
Unified Context Layer (UCL) is introduced as a transformative solution for making the Model Context Protocol (MCP) production-ready, providing a balance between flexibility, scalability, and speed. Unlike building directly on MCP, which demands extensive resource management and customization, or using gateway vendors that are not suited for production-scale AI use cases, UCL offers a managed platform that facilitates secure, tenant-aware execution and deep integration with various tools like Slack, Jira, and Gmail. It supports full compatibility with MCP commands, built-in retries, error handling, and real-time observability, effectively eliminating the need for additional logic or routing code. This makes UCL an ideal infrastructure for teams developing AI-powered products, enabling them to focus on innovation without being encumbered by the complexities of infrastructure management.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| MCP | 14 | 3,415 | 369 | 124 | -6% |
| AI Agents | 3 | 2,199 | 513 | 173 | -12% |
| Observability | 2 | 2,164 | 505 | 155 | +14% |
| Real-time | 2 | 4,894 | 1,221 | 257 | +19% |
Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.