Friday, May 16, 2025

AI MCP, inspired by LSP

solving many-to-many communication challenges, for IDE and AI tools

Anthropic and the Model Context Protocol with David Soria Parra - Software Engineering Daily

The Model Context Protocol, or MCP, is a new open standard that connects AI assistants to arbitrary data sources and tools, such as codebases, APIs, and content repositories. Instead of building bespoke integrations for each system, developers can use MCP to establish secure, scalable connections between AI models and the data they need. By standardizing this connection layer, MCP enables models to access relevant information in real time, leading to more accurate and context-aware responses.

David Soria Parra is a Member of the Technical Staff at Anthropic, where he co-created the Model Context Protocol. He joins the podcast to talk about his career and the future of context-aware AI








The Language Server Protocol (LSP) is an open, JSON-RPC-based protocol for use between source code editors or integrated development environments (IDEs) and servers that provide "language intelligence tools":[1] programming language-specific features like code completion, syntax highlighting and marking of warnings and errors, as well as refactoring routines. 

The goal of the protocol is to allow programming language support to be implemented and distributed independently of any given editor or IDE.[2] In the early 2020s, LSP quickly became a "norm" for language intelligence tools providers.

LSP was originally developed for Microsoft Visual Studio Code and is now an open standard


Language Server Extension Guide | Visual Studio Code Extension API









MCP example:



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