MCP Adoption: From Protocol to Practice
Tracking the emergence of the Model Context Protocol (MCP) ecosystem as it moves from a technical standard into practical workflows, third-party integrations (like Zapier), and daily productivity tools.
Trajectory
Early practical use cases are emerging rapidly, driven by major integration platforms like Zapier adopting the standard to connect LLMs with thousands of apps.
Watch for: More SaaS platforms will release official MCP servers, leading to a surge in tutorials and workflows for non-developer use cases.
Timeline (3 events)
Show HN: Sinkai – Let AI agents hire humans for real-world tasks
MCP is graduating from a developer tool to a state-level infrastructure standard, with India adopting it for national datasets. Additionally, it is being used as the backbone for agent-to-human labor markets (Sinkai).
India AI Data MCP
MCP is graduating from a developer tool to a state-level infrastructure standard, with India adopting it for national datasets. Additionally, it is being used as the backbone for agent-to-human labor markets (Sinkai).
How this PM uses MCPs to automate his meeting prep, CRM updates, and customer feedback synthesis | Reid Robinson (Zapier)
This item marks the beginning of tracking practical, real-world adoption of the Model Context Protocol (MCP) beyond its initial technical release.