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Anthropic's Bold Vision: Building the HTTP of AI with Model Context Protocol

Anthropic published a near-term development roadmap for the model context protocol (MCP).

In a strategic move that could reshape the AI landscape, Anthropic has revealed its ambitious plans for the MCP - potentially laying the groundwork for how we'll interact with AI in the years to come.

Just as HTTP revolutionized the web by standardizing how we access and share information, MCP aims to become the universal language for AI interactions.

Anthropic's H1 2025 roadmap reveals a vision that extends far beyond developing individual AI models like Claude. Instead, they're architecting the fundamental infrastructure that could power the next generation of AI interactions.

Here's what makes this approach revolutionary:

1. Building an Open Ecosystem
- Development of an open protocol for standardized AI model interactions
- Inviting other AI providers to shape MCP as an industry standard
- Focus on community-led development and shared governance

2. Enabling Decentralization
- Support for remote MCP connections
- Secure cross-system AI interactions
- Infrastructure for distributed AI systems

3. Scaling for the Future
- Advanced support for hierarchical agent systems
- Preparation for multimodal interactions (text, audio, video)
- Standardized packaging and distribution mechanisms

4. Democratizing Access
- Simplified installation and usage processes
- Creation of a universal server registry
- Open community participation in protocol development

The HTTP Parallel

The comparison to HTTP is particularly apt. Just as HTTP provided the foundational protocol that enabled the modern web to flourish, MCP could serve as the standard protocol for AI interactions. This standardization could:
- Enable seamless communication between different AI systems
- Create a more accessible and interoperable AI ecosystem
- Foster innovation through standardized interfaces

Strategic Implications

This move positions Anthropic not just as an AI company, but as a potential architect of the fundamental infrastructure that could power the future of AI interactions. By focusing on building this foundation, they're taking a long-term view that could significantly influence how AI systems are developed, deployed, and integrated in the years to come.

The success of this initiative could establish MCP as the de facto standard for AI interactions, similar to how HTTP became the backbone of web communications. This would not only benefit the broader AI community but could also cement Anthropic's position as a key player in shaping the future of AI.



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Anthropic's Bold Vision: Building the HTTP of AI with Model Context Protocol

Anthropic published a near-term development roadmap for the model context protocol (MCP).

In a strategic move that could reshape the AI landscape, Anthropic has revealed its ambitious plans for the MCP - potentially laying the groundwork for how we'll interact with AI in the years to come.

Just as HTTP revolutionized the web by standardizing how we access and share information, MCP aims to become the universal language for AI interactions.

Anthropic's H1 2025 roadmap reveals a vision that extends far beyond developing individual AI models like Claude. Instead, they're architecting the fundamental infrastructure that could power the next generation of AI interactions.

Here's what makes this approach revolutionary:

1. Building an Open Ecosystem
- Development of an open protocol for standardized AI model interactions
- Inviting other AI providers to shape MCP as an industry standard
- Focus on community-led development and shared governance

2. Enabling Decentralization
- Support for remote MCP connections
- Secure cross-system AI interactions
- Infrastructure for distributed AI systems

3. Scaling for the Future
- Advanced support for hierarchical agent systems
- Preparation for multimodal interactions (text, audio, video)
- Standardized packaging and distribution mechanisms

4. Democratizing Access
- Simplified installation and usage processes
- Creation of a universal server registry
- Open community participation in protocol development

The HTTP Parallel

The comparison to HTTP is particularly apt. Just as HTTP provided the foundational protocol that enabled the modern web to flourish, MCP could serve as the standard protocol for AI interactions. This standardization could:
- Enable seamless communication between different AI systems
- Create a more accessible and interoperable AI ecosystem
- Foster innovation through standardized interfaces

Strategic Implications

This move positions Anthropic not just as an AI company, but as a potential architect of the fundamental infrastructure that could power the future of AI interactions. By focusing on building this foundation, they're taking a long-term view that could significantly influence how AI systems are developed, deployed, and integrated in the years to come.

The success of this initiative could establish MCP as the de facto standard for AI interactions, similar to how HTTP became the backbone of web communications. This would not only benefit the broader AI community but could also cement Anthropic's position as a key player in shaping the future of AI.

BY IEEE Siberia


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He said that since his platform does not have the capacity to check all channels, it may restrict some in Russia and Ukraine "for the duration of the conflict," but then reversed course hours later after many users complained that Telegram was an important source of information. Overall, extreme levels of fear in the market seems to have morphed into something more resembling concern. For example, the Cboe Volatility Index fell from its 2022 peak of 36, which it hit Monday, to around 30 on Friday, a sign of easing tensions. Meanwhile, while the price of WTI crude oil slipped from Sunday’s multiyear high $130 of barrel to $109 a pop. Markets have been expecting heavy restrictions on Russian oil, some of which the U.S. has already imposed, and that would reduce the global supply and bring about even more burdensome inflation. At this point, however, Durov had already been working on Telegram with his brother, and further planned a mobile-first social network with an explicit focus on anti-censorship. Later in April, he told TechCrunch that he had left Russia and had “no plans to go back,” saying that the nation was currently “incompatible with internet business at the moment.” He added later that he was looking for a country that matched his libertarian ideals to base his next startup. In addition, Telegram now supports the use of third-party streaming tools like OBS Studio and XSplit to broadcast live video, allowing users to add overlays and multi-screen layouts for a more professional look. For example, WhatsApp restricted the number of times a user could forward something, and developed automated systems that detect and flag objectionable content.
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