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Anthropic debuts the Model Context Protocol, an open-source standard for connecting AI assistants to data sources, to help AI models give more relevant answers

at Anthropic and worked on over the last months.  We released  —  the Model Context Protocol as an Open Source project today.  —  https://www.anthropic.com/...  Simply put, it's an open source protocol to connect LLM assistants … X: Alex Albert / @alexalbert__ : Introducing the Model Context Protocol (MCP) An open standard we've been working on at Anthropic that solves a core challenge with LLM apps - connecting them to your data. No more building custom integrations for every data source. MCP provides one protocol to connect them all: [image] Mike Murchison / @mimurchison : Multiple significant implications to the launch of Anthropic's Model Context Protocol... 1. Your application's integration moat is being eroded as models evolve to connect to third party data sources natively 2. We should expect frontier models to compete in their ability to Alex Albert / @alexalbert__ : Here's a quick demo using the Claude desktop app, where we've configured MCP: Watch Claude connect directly to GitHub, create a new repo, and make a PR through a simple MCP integration. Once MCP was set up in Claude desktop, building this integration took less than an hour. [video] Alex Albert / @alexalbert__ : At its core, MCP follows a client-server architecture where multiple services can connect to any compatible client. Clients are applications like Claude Desktop, IDEs, or AI tools. Servers are light adapters that expose data sources. [image] Eoin McMillan / @mceoin : This is a big advantage of using @SourcetableApp: your spreadsheet already has access to all your database & application data, centralized in a single secure repository. The vertical stack significantly improves model accuracy for analysis, retrieval, and other agentic actions. Simon Willison / @simonw : Fascinating new thing from Anthropic: you can now build custom programs that speak a specific protocol over STDIN (and soon over HTTP) and then teach the Claude desktop app how to talk to them - for running tools and populating context Alex Albert / @alexalbert__ : Getting LLMs to interact with external systems isn't usually that easy. Today, every developer needs to write custom code to connect their LLM apps with data sources. It's messy, repetitive work. MCP fixes this with a standard protocol for sharing resources, tools, and prompts. LinkedIn: Chenxi Wang, Ph.D. : Happy to see Anthropic's announcement today on open-sourcing the Model Context Protocol (MCP), a standard to connecting AI assistants with data sources. … Ashraf Alhashim : Proud to share that Anthropic has open-sourced the Model Context Protocol (MCP) - a groundbreaking standard for connecting AI assistants like Claude to enterprise data systems. … Forums: r/ClaudeAI : Introducing the Model Context Protocol

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  • @alexalbert__ Alex Albert on x
    Introducing the Model Context Protocol (MCP) An open standard we've been working on at Anthropic that solves a core challenge with LLM apps - connecting them to your data. No more building custom integrations for every data source. MCP provides one protocol to connect them all: […
  • @mimurchison Mike Murchison on x
    Multiple significant implications to the launch of Anthropic's Model Context Protocol... 1. Your application's integration moat is being eroded as models evolve to connect to third party data sources natively 2. We should expect frontier models to compete in their ability to
  • @alexalbert__ Alex Albert on x
    Here's a quick demo using the Claude desktop app, where we've configured MCP: Watch Claude connect directly to GitHub, create a new repo, and make a PR through a simple MCP integration. Once MCP was set up in Claude desktop, building this integration took less than an hour. [vide…
  • @alexalbert__ Alex Albert on x
    At its core, MCP follows a client-server architecture where multiple services can connect to any compatible client. Clients are applications like Claude Desktop, IDEs, or AI tools. Servers are light adapters that expose data sources. [image]
  • @mceoin Eoin McMillan on x
    This is a big advantage of using @SourcetableApp: your spreadsheet already has access to all your database & application data, centralized in a single secure repository. The vertical stack significantly improves model accuracy for analysis, retrieval, and other agentic actions.
  • @simonw Simon Willison on x
    Fascinating new thing from Anthropic: you can now build custom programs that speak a specific protocol over STDIN (and soon over HTTP) and then teach the Claude desktop app how to talk to them - for running tools and populating context
  • @alexalbert__ Alex Albert on x
    Getting LLMs to interact with external systems isn't usually that easy. Today, every developer needs to write custom code to connect their LLM apps with data sources. It's messy, repetitive work. MCP fixes this with a standard protocol for sharing resources, tools, and prompts.
  • r/ClaudeAI r on reddit
    Introducing the Model Context Protocol