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Model Context Protocol Lets Developers Build One AI Tool That Works Across All Editors

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The Model Context Protocol (MCP) offers a standardized way to build custom AI tools that work across multiple coding environments, including Claude Code, Cursor, Copilot, and Gemini CLI. Currently, developers who build internal tools must maintain separate integration scripts and configurations for each AI coding harness they use. MCP resolves this by allowing a tool to be defined once as a standalone server with a typed interface, which any compatible AI environment can discover and invoke as a client. Using TypeScript and the official MCP SDK, developers can define tool schemas and logic in a single codebase and deploy without modification across all supported platforms. The approach is likened to building a REST API for AI agents, where any compliant client can call the defined endpoints using the shared contract.

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