News from the AI & ML world
DeeperML - #modelcontextprotocol
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Priyansh Khodiyar@CustomGPT
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CustomGPT
, hackernoon.com
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The Model Context Protocol (MCP) is gaining momentum as a key framework for standardizing interactions between AI agents and various applications. Developed initially by Anthropic, MCP aims to provide a universal method for AI models to connect with external tools, data sources, and systems, similar to how USB-C streamlines connections for devices. Microsoft is actively embracing this protocol, introducing MCP servers for its Dynamics 365 platform. Furthermore, companies are integrating MCP into their APIs, indicating a widespread movement towards its adoption.
The core challenge MCP addresses is the current fragmented and inconsistent nature of AI integrations. Without a standardized protocol, developers often resort to custom code and brittle integrations, leading to systems that are difficult to maintain and scale. MCP standardizes how context is defined, passed, and validated, ensuring that AI agents receive the correct information in the right format, regardless of the data source. This standardization promises to alleviate the "It Works on My Machine… Sometimes" syndrome, where AI applications function inconsistently across different environments. MCP's adoption is expected to pave the way for more autonomous enterprises and smarter systems. Microsoft envisions a future where AI agents proactively identify problems, suggest solutions, and maintain context across conversations, thereby transforming workflows across diverse fields such as marketing and software engineering. The evolution of identity standards, particularly OAuth, is crucial to secure agent access across connected systems, ensuring a robust and reliable ecosystem for AI agent interactions. This collaborative effort to build standards will empower the next generation of AI agents to operate effectively and securely. Recommended read:
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@www.microsoft.com
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Microsoft is leading the charge in AI-driven automation with the introduction of new tools and protocols designed to empower businesses through AI agents. At Microsoft Build 2025, the company announced the Model Context Protocol (MCP) servers for Microsoft Dynamics 365 ERP and CRM business applications. These servers aim to streamline the integration of AI agents into business processes, enabling customers and partners to build AI-powered agents more quickly and efficiently. This move is part of a broader vision of the "autonomous enterprise," where AI and automation drive innovation and adaptation.
Microsoft's initiatives also include advancements in agentic user experience (AUX). The company recently unveiled Magentic-UI, an open-source agentic web interface built on the Magentic-One architecture. Magentic-UI is designed to support complex, multi-step task workflows through human-AI collaboration. By combining large language models (LLMs), containerized execution environments, and real-time user feedback, Magentic-UI offers a cohesive platform for dynamic and secure task automation, moving beyond simple chat interfaces to provide more sophisticated agent interactions. In addition to these developments, Microsoft is also focused on ensuring the security and interoperability of AI agents. The company recognizes the need for evolving identity standards, particularly OAuth, to manage how agents access data and act across connected systems. Microsoft has launched the public preview of its Conditional Access Optimizer Agent, a multi-functional AI agent that analyzes an organization's Conditional Access policies, identifies security gaps, and recommends policy improvements. Furthermore, Microsoft is investing in agents for developer and operations workflows, such as SWE and SRE agents, to boost productivity in application development and maintenance, reinforcing the importance of standardization in the AI ecosystem. Recommended read:
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@www.eweek.com
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Microsoft is embracing the Model Context Protocol (MCP) as a core component of Windows 11, aiming to transform the operating system into an "agentic" platform. This integration will enable AI agents to interact seamlessly with applications, files, and services, streamlining tasks for users without requiring manual inputs. Announced at the Build 2025 developer conference, this move will allow AI agents to carry out tasks across apps and services.
MCP functions as a lightweight, open-source protocol that allows AI agents, apps, and services to share information and access tools securely. It standardizes communication, making it easier for different applications and agents to interact, whether they are local tools or online services. Windows 11 will enforce multiple security layers, including proxy-mediated communication and tool-level authorization. Microsoft's commitment to AI agents also includes the NLWeb project, designed to transform websites into conversational interfaces. NLWeb enables users to interact directly with website content through natural language, without needing apps or plugins. Furthermore, the NLWeb project turns supported websites into MCP servers, allowing agents to discover and utilize the site’s content. GenAIScript has also been updated to enhance security of Model Context Protocol (MCP) tools, addressing vulnerabilities. Options for tools signature hashing and prompt injection detection via content scanners provide safeguards across tool definitions and outputs. Recommended read:
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Adit Sheth@Towards AI
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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:
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Maximilian Schreiner@THE DECODER
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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:
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Maximilian Schreiner@THE DECODER
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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:
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Maximilian Schreiner@THE DECODER
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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:
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