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Many say you need MCP servers for AI agents.
I run search monitoring, Telegram alerts, and a voice assistant. I use zero MCP servers. I use direct API calls.
MCP solves one problem. It helps a model choose a tool during a session. If a model does not choose, you do not need MCP.
Look at a basic pipeline.
- Cron fires at 8:30.
- Script calls an API.
- Script formats data.
- Script posts to Telegram.
The model does not decide anything. The order is fixed. Direct API calls work best here.
When is MCP worth the effort?
- You have a second consumer. If a chat bot and a desktop app both need one database, use MCP.
- You use tools you did not write. Third party MCP servers save you from writing client code.
MCP adds more points of failure. A direct API call has one failure point. The script. MCP has three. The client, the server, and the transport. More parts mean more things to fix at 8am.
Solo developers should wait for a second consumer. Teams should build the abstraction early.
The rule is simple. The model choosing makes MCP relevant. A second consumer makes it worth it.
Source: https://dev.to/henry_dan_81513dd35a2f540/mcp-vs-direct-api-calls-my-agent-stack-has-zero-mcp-servers-mh9 Optional learning community: https://t.me/GyaanSetuAi