When building agents that need to operate across Slack, Gmail, Databases, and internal APIs, every new integration felt like re-inventing the wheel.
Different APIs, different schemas, different auth patterns. 😩
Standardizing interaction through something like Model Context Protocol (MCP) helped me abstract away all those differences — one interaction model for all tools.
I believe standardized interfaces will be crucial if we want truly capable, cross-platform AI agents.
What do you think? Is the future of agent tooling in standard protocols or in custom integration layers?
Would love to debate this!
For further actions, you may consider blocking this person and/or reporting abuse
We're a place where coders share, stay up-to-date and grow their careers.
Top comments (1)
When building agents that need to operate across Slack, Gmail, Databases, and internal APIs, every new integration felt like re-inventing the wheel.
Different APIs, different schemas, different auth patterns. 😩
Standardizing interaction through something like Model Context Protocol (MCP) helped me abstract away all those differences — one interaction model for all tools.
I believe standardized interfaces will be crucial if we want truly capable, cross-platform AI agents.
What do you think? Is the future of agent tooling in standard protocols or in custom integration layers?
Would love to debate this!