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Endigest AI Core Summary
This article explains the difference between hand-written tool calling and MCP (Model Context Protocol) servers when building AI-powered products.
•Tool calling lets you define functions that an LLM can invoke, but each tool must be manually written, schemed, and maintained by the developer
•MCP is a standard protocol where a running server exposes its full tool surface automatically — Claude connects and discovers all available tools without any manual definitions
•Switching from hand-rolled Jira/GitHub tools to their official MCP servers gave Claude access to the full API surface of both platforms (sprints, PRs, branches, reviews, etc.)
•Claude can reason across multiple MCP servers simultaneously, enabling cross-system queries like checking if Done Jira tickets have their linked PRs actually merged
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When a service ships new API features, the MCP server updates automatically and Claude gains access with no changes required on the developer's side
This summary was automatically generated by AI based on the original article and may not be fully accurate.
Google Cloud
Databricks
Stripe