News from the AI & ML world
DeeperML - #modelcontextprotocol
|
@www.dremio.com
//
The Model Context Protocol (MCP) is rapidly gaining traction as a crucial standard for enabling AI agents to effectively interact with real-world tools and applications. Developed by Anthropic and supported by major players like OpenAI, Microsoft, and Dremio, MCP aims to standardize how agents interact with various systems and data sources, acting as a "USB-C for AI applications." This allows AI agents to work more independently, learn, adapt, and plan autonomously, expanding their capabilities beyond traditional AI tasks by facilitating communication with external tools and services.
MCP addresses the problem of context fragmentation in AI development. Currently, AI agents often need custom code for each tool they interact with, leading to complexity and scalability issues. MCP provides a single interface for agents to connect to, translating requests and routing them to the appropriate tool behind the scenes. This simplifies integration and creates a cleaner, more scalable setup. The protocol enables agents to discover available capabilities, understand how to use them, and invoke them dynamically in real-time, streamlining the process of accessing and utilizing external resources. Examples of MCP's versatility include enabling AI agents to exchange multimedia messages on WhatsApp, conduct deep web searches, generate music from prompts, and design user interfaces with Figma. For instance, Dremio utilizes MCP to allow agents to access and interact with structured data through SQL, while also translating natural language queries into executable SQL. Auth0 integrates with MCP to provide secure AI agents with identity and access controls. The LangChain MCP adapter further simplifies development by allowing developers to build MCP agents using Composio's managed MCP server, demonstrating the growing ecosystem and its potential to transform AI application development. Recommended read:
References :
Maximilian Schreiner@THE DECODER
//
OpenAI has announced it will adopt Anthropic's Model Context Protocol (MCP) across its product line. This surprising move involves integrating MCP support into the Agents SDK immediately, followed by the ChatGPT desktop app and Responses API. MCP is an open standard introduced last November by Anthropic, designed to enable developers to build secure, two-way connections between their data sources and AI-powered tools. This collaboration between rivals marks a significant shift in the AI landscape, as competitors typically develop proprietary systems.
MCP aims to standardize how AI assistants access, query, and interact with business tools and repositories in real-time, overcoming the limitation of AI being isolated from systems where work happens. It allows AI models like ChatGPT to connect directly to the systems where data lives, eliminating the need for custom integrations for each data source. Other companies, including Block, Apollo, Replit, Codeium, and Sourcegraph, have already added MCP support, and Anthropic's Chief Product Officer Mike Krieger welcomes OpenAI's adoption, highlighting MCP as a thriving open standard with growing integrations. Recommended read:
References :
Maximilian Schreiner@THE DECODER
//
OpenAI has announced its support for Anthropic’s Model Context Protocol (MCP), an open-source standard. The move is designed to streamline the integration between AI assistants and various data systems. MCP is an open standard that facilitates connections between AI models and external repositories and business tools, eliminating the need for custom integrations.
The integration is already available in OpenAI's Agents SDK, with support coming soon to the ChatGPT desktop app and Responses API. The aim is to create a unified framework for AI applications to access and utilize external data sources effectively. This collaboration marks a pivotal step towards enhancing the relevance and accuracy of AI-generated responses by enabling real-time data retrieval and interaction. Anthropic’s Chief Product Officer Mike Krieger welcomed the development, noting MCP has become “a thriving open standard with thousands of integrations and growing.” Since Anthropic released MCP as open source, multiple companies have adopted the standard for their platforms. CEO Sam Altman confirmed on X that OpenAI will integrate MCP support into its Agents SDK immediately, with the ChatGPT desktop app and Responses API following soon. Recommended read:
References :
Maximilian Schreiner@THE DECODER
//
OpenAI and Anthropic, competitors in the AI space, are joining forces to standardize AI-data integration through the Model Context Protocol (MCP). Introduced by Anthropic last November, MCP is an open standard designed to enable developers to build secure, two-way connections between data sources and AI-powered tools. The protocol allows AI systems like ChatGPT to access digital documents and other data, enhancing the quality and relevance of AI-generated responses. MCP functions as a "USB-C port for AI applications," offering a universal method for connecting AI models to diverse data sources and supporting secure, bidirectional interactions between AI applications (MCP clients) and data sources (MCP servers).
With OpenAI's support, MCP is gaining momentum as a vendor-neutral way to simplify the implementation of AI agents. Microsoft and Cloudflare have already announced support for MCP, with Microsoft adding it to Copilot Studio. This collaboration aims to improve AI interoperability by providing a standard way for AI agents to access and retrieve data, streamlining the process of building and maintaining agents. The goal is to enable AI agents to take actions based on real-time data, making them more practical for everyday business use, with companies like Databricks aiming to improve the accuracy of AI agents to above 95 percent. Recommended read:
References :
|
BenchmarksBlogsResearch Tools |