solving many-to-many communication challenges, for IDE and AI tools
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
Model Context Protocol @GitHub
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
LSP was originally developed for Microsoft Visual Studio Code and is now an open standard
Official page for Language Server Protocol @GitHub.io
Claude's New Integrations Redefine Business Automation @forwardfuture
MCP example:
ahujasid/blender-mcp @GitHub
