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Following Shopify's support for mcp-ui ( Postman has also added support to both our agent mode and MCP client. This is a huge step towards making agents more powerful and interactive and I am excited about the potential of generative UIs!

Abhinav Asthana

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23,114 views • 1 year ago •via X (Twitter)

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MCP support is rolling out now in Postman! Excited to see what you all are going to be building with MCP and Agents. Thank you for all the early access developers who gave feedback and helped improve the product.

MCP support is rolling out now in Postman! Excited to see what you all are going to be building with MCP and Agents. Thank you for all the early access developers who gave feedback and helped improve the product.

Abhinav Asthana

54,350 views • 1 year ago

🧬🧬 LLM Generated UIs We've added a series of templates and documentation showing off how to build generative UI applications using LangChain JS/TS & Next.js. These templates include: - 🌆 generative UI in Next.js - 🤖 streaming agent events - 🛠️ streaming tool calls and more! Checkout our Next.js template repo for these examples and extensive docs:

🧬🧬 LLM Generated UIs We've added a series of templates and documentation showing off how to build generative UI applications using LangChain JS/TS & Next.js. These templates include: - 🌆 generative UI in Next.js - 🤖 streaming agent events - 🛠️ streaming tool calls and more! Checkout our Next.js template repo for these examples and extensive docs:

LangChain

54,525 views • 2 years ago

This is genuinely insane 🤯 I sent the same prompt to 2 Claude Opus 5 agents 1 agent used no MCPs 1 agent used 2 MCPS the goal was to clone a very famous game, that has over 4 billion downloads and the results are scary.. The 1st agents game looks pretty basic. but has all the mechanics in place and even has power ups. The 2nd agents game looks polished especially for 1 single prompt. the 2nd agent used higgsfield mcp to create images for all of the assets then sent those images to Meshy AI with a prompt to create them it also generated all the UI elements. the results speak for themselves. you need to start MCP maxxing

This is genuinely insane 🤯 I sent the same prompt to 2 Claude Opus 5 agents 1 agent used no MCPs 1 agent used 2 MCPS the goal was to clone a very famous game, that has over 4 billion downloads and the results are scary.. The 1st agents game looks pretty basic. but has all the mechanics in place and even has power ups. The 2nd agents game looks polished especially for 1 single prompt. the 2nd agent used higgsfield mcp to create images for all of the assets then sent those images to Meshy AI with a prompt to create them it also generated all the UI elements. the results speak for themselves. you need to start MCP maxxing

Ernesto Lopez

70,384 views • 2 months ago

We've integrated Claude's Model Context Protocol (MCP) so that users and AI agents can now easily interact with Story. Register IP, purchase licenses, automate revenue distribution, and more with the help of an AI agent. A major step towards AI-native programmable IP.

We've integrated Claude's Model Context Protocol (MCP) so that users and AI agents can now easily interact with Story. Register IP, purchase licenses, automate revenue distribution, and more with the help of an AI agent. A major step towards AI-native programmable IP.

The DATA Foundation

66,475 views • 1 year ago

LangGraph. CrewAI. Agno. Which one to pick? The good news is that this will not matter soon! Finally, we have a full picture of how the industry is solving this with just three open protocols that work across ALL frameworks. It's not about picking the best framework. Instead, it's about understanding how protocols create interoperability. The Agent Protocol Landscape shows how three complementary protocols are creating a universal language for Agents: > AG-UI (Agent-User Interaction): - The bi-directional connection between agentic backends and frontends. - This is how agents become truly interactive inside your apps, not just as chatbots, but collaborative co-workers. > MCP (Model Context Protocol): - The standard for how agents connect to tools, data, and workflows. > A2A (Agent-to-Agent): - The protocol for multi-agent coordination. - How agents delegate tasks and share intent across systems. These aren't competing standards. They're layers of the same stack and have handshakes with each other. So instead of building point-to-point integrations, you build to protocols. Moreover, you can integrate LangGraph, CrewAI, or Agno into the same frontend, without rewriting your UI logic. These protocols let everything work together. For instance: - Your LangGraph agent pulls data via MCP. - It delegates analysis to a CrewAI agent via A2A. - Results stream to your React app via AG-UI. - Users see real-time collaboration in your interface. This way, you can focus on building agent capabilities instead of integration mechanics. The protocols handle interoperability automatically. CopilotKit unifies this entire stack into one framework so you can build "Cursor for X" style apps without implementing each protocol from scratch. It gives you all three protocols, generative UI support, and production-ready infrastructure in one framework. I have shared this playbook in the replies! It breaks down handshakes, misconceptions, and real examples and shows exactly how to start building.

LangGraph. CrewAI. Agno. Which one to pick? The good news is that this will not matter soon! Finally, we have a full picture of how the industry is solving this with just three open protocols that work across ALL frameworks. It's not about picking the best framework. Instead, it's about understanding how protocols create interoperability. The Agent Protocol Landscape shows how three complementary protocols are creating a universal language for Agents: > AG-UI (Agent-User Interaction): - The bi-directional connection between agentic backends and frontends. - This is how agents become truly interactive inside your apps, not just as chatbots, but collaborative co-workers. > MCP (Model Context Protocol): - The standard for how agents connect to tools, data, and workflows. > A2A (Agent-to-Agent): - The protocol for multi-agent coordination. - How agents delegate tasks and share intent across systems. These aren't competing standards. They're layers of the same stack and have handshakes with each other. So instead of building point-to-point integrations, you build to protocols. Moreover, you can integrate LangGraph, CrewAI, or Agno into the same frontend, without rewriting your UI logic. These protocols let everything work together. For instance: - Your LangGraph agent pulls data via MCP. - It delegates analysis to a CrewAI agent via A2A. - Results stream to your React app via AG-UI. - Users see real-time collaboration in your interface. This way, you can focus on building agent capabilities instead of integration mechanics. The protocols handle interoperability automatically. CopilotKit unifies this entire stack into one framework so you can build "Cursor for X" style apps without implementing each protocol from scratch. It gives you all three protocols, generative UI support, and production-ready infrastructure in one framework. I have shared this playbook in the replies! It breaks down handshakes, misconceptions, and real examples and shows exactly how to start building.

Avi Chawla

31,074 views • 11 months ago

✨ Big Tailwind Plus update today — we added dark mode support to all of the marketing and application UI blocks! Now you can preview + copy any of these examples with just light mode styles, just dark mode styles, or with both light/dark support 🌒

✨ Big Tailwind Plus update today — we added dark mode support to all of the marketing and application UI blocks! Now you can preview + copy any of these examples with just light mode styles, just dark mode styles, or with both light/dark support 🌒

Adam Wathan

34,331 views • 1 year ago

We’re launching the Latch MCP and announcing its availability within Claude Science, Anthropic’s new AI workbench for scientists. AI for biology requires agent-native infrastructure: systems where agents can store, process, and visualize large molecular datasets from the interfaces scientists already use. Biological analysis workflows often require substantial compute. Retries or incorrect long-running tool calls can quickly inflate workflow time and cost, especially when analyses take hours or days to complete. These tools should also be curated with appropriate parameters and agent-readable documentation, ideally provided by the original assay developer, to support correct use across many complex scientific contexts. At Latch, we’ve seen customers of our Solution Provider partners, including TakaraBio, Vizgen, and AtlasXOmics, use both the Latch Agent and external harnesses like Claude Code and Cursor to accelerate analysis of their data. The Latch MCP is a remote MCP server that securely connects agent harnesses to the Latch platform, giving agents access to verified bioinformatics tools built and maintained by kit and instrument providers. Agents can navigate data on Latch and launch existing deployments of validated bioinformatics workflows to analyze that data.

We’re launching the Latch MCP and announcing its availability within Claude Science, Anthropic’s new AI workbench for scientists. AI for biology requires agent-native infrastructure: systems where agents can store, process, and visualize large molecular datasets from the interfaces scientists already use. Biological analysis workflows often require substantial compute. Retries or incorrect long-running tool calls can quickly inflate workflow time and cost, especially when analyses take hours or days to complete. These tools should also be curated with appropriate parameters and agent-readable documentation, ideally provided by the original assay developer, to support correct use across many complex scientific contexts. At Latch, we’ve seen customers of our Solution Provider partners, including TakaraBio, Vizgen, and AtlasXOmics, use both the Latch Agent and external harnesses like Claude Code and Cursor to accelerate analysis of their data. The Latch MCP is a remote MCP server that securely connects agent harnesses to the Latch platform, giving agents access to verified bioinformatics tools built and maintained by kit and instrument providers. Agents can navigate data on Latch and launch existing deployments of validated bioinformatics workflows to analyze that data.

Kenny Workman

17,260 views • 3 months ago

A massive repository with end-to-end examples of AI applications with React! Together with MCP and A2A, the Agent-User Interaction Protocol (AG-UI) is the third piece that will help you build user-facing AI agents. This GitHub repository will give you access to a bunch of examples showing you how to build the following: • Real-time updates between AI and users • Shared mutable state between agents and users • Tool orchestration • Security boundaries • UI synchronization In every one of these examples, you'll get the following: • Client sends a POST request to the agent endpoint • Then listens to a unified event stream over HTTP • Each event includes a type and a minimal payload • Agents emit events in real-time • The frontend can react immediately to these events • The frontend emits events and context back to the agent Check the link in the next post:

A massive repository with end-to-end examples of AI applications with React! Together with MCP and A2A, the Agent-User Interaction Protocol (AG-UI) is the third piece that will help you build user-facing AI agents. This GitHub repository will give you access to a bunch of examples showing you how to build the following: • Real-time updates between AI and users • Shared mutable state between agents and users • Tool orchestration • Security boundaries • UI synchronization In every one of these examples, you'll get the following: • Client sends a POST request to the agent endpoint • Then listens to a unified event stream over HTTP • Each event includes a type and a minimal payload • Agents emit events in real-time • The frontend can react immediately to these events • The frontend emits events and context back to the agent Check the link in the next post:

Santiago

78,271 views • 1 year ago

It's a big day for MCP - Highlight is opening up the infrastructure that backs your favorite client. 1) We're open sourcing our bundler, which enables MCP clients to run on-device seamlessly in any app, launching an API, and launching the #1 MCP Registry. Read👇

It's a big day for MCP - Highlight is opening up the infrastructure that backs your favorite client. 1) We're open sourcing our bundler, which enables MCP clients to run on-device seamlessly in any app, launching an API, and launching the #1 MCP Registry. Read👇

Pim de Witte

17,666 views • 1 year ago

We are proud to introduce our new product, It is a Virtual Machine specifically designed for Apple Silicon and AI Agents. This is our very first release, and it fully supports macOS, Windows, and Linux with GPU acceleration. - Liquid Glass, - GPU Accelerator. - MCP for AI Agent on your Mac or inside the VM.

We are proud to introduce our new product, It is a Virtual Machine specifically designed for Apple Silicon and AI Agents. This is our very first release, and it fully supports macOS, Windows, and Linux with GPU acceleration. - Liquid Glass, - GPU Accelerator. - MCP for AI Agent on your Mac or inside the VM.

TablePlus

813,685 views • 6 days ago

MCP-apps support is coming soon to Visual Studio Code Really excited about this - IDE as agentic SDLC C&C center - devs can stay focused even more inside their work and bring pieces of it to their IDE like JIRA/linear tickets and other tools right in the IDE Tnx Connor Peet

MCP-apps support is coming soon to Visual Studio Code Really excited about this - IDE as agentic SDLC C&C center - devs can stay focused even more inside their work and bring pieces of it to their IDE like JIRA/linear tickets and other tools right in the IDE Tnx Connor Peet

Oren Melamed

13,366 views • 9 months ago

⚡️Vercel dropped AI SDK 3.0 with Generative UI support. And It's amazing! You can transform text & image prompts into React UI in seconds. This is a paradigm shift in how we interact with AI, making it more accessible & engaging for everyone. 7 examples:

⚡️Vercel dropped AI SDK 3.0 with Generative UI support. And It's amazing! You can transform text & image prompts into React UI in seconds. This is a paradigm shift in how we interact with AI, making it more accessible & engaging for everyone. 7 examples:

Min Choi

84,531 views • 2 years ago

.Luc Frieden, Prime Minister of Luxembourg, is with us, right here in Ukraine, on our Independence Day. And this is truly a strong and much-needed signal of support for our people, for everyone who defends this independence every day. The Prime Minister and I discussed the outcomes of the Coalition of the Willing meeting and the key issues of how to ensure our country’s resilience this fall and winter. I detailed the challenges that require urgent action – army funding and the budget deficit. Importantly, Luxembourg is ready to help find solutions, both bilaterally and multilaterally at the EU level. I am also grateful for the readiness to help on the humanitarian track with the reconstruction of university dormitories. This is, above all, about our youth and the future of our country. Thank you!

.Luc Frieden, Prime Minister of Luxembourg, is with us, right here in Ukraine, on our Independence Day. And this is truly a strong and much-needed signal of support for our people, for everyone who defends this independence every day. The Prime Minister and I discussed the outcomes of the Coalition of the Willing meeting and the key issues of how to ensure our country’s resilience this fall and winter. I detailed the challenges that require urgent action – army funding and the budget deficit. Importantly, Luxembourg is ready to help find solutions, both bilaterally and multilaterally at the EU level. I am also grateful for the readiness to help on the humanitarian track with the reconstruction of university dormitories. This is, above all, about our youth and the future of our country. Thank you!

Volodymyr Zelenskyy / Володимир Зеленський

163,780 views • 1 month ago

Replit, Vercel, and OpenAI have built very cool agent-native applications, but nobody else has passed the demo stage. Building agents that work is complex. Teams aren't shipping agents because we don't have good tooling yet (and most of us don't know how to do this well.) A couple of days ago, the CopilotKit🪁 team announced a collaboration with . You can now use LangGraph with CoAgents to build agent-native applications, and here is everything you need to know about that: CoAgents is fully open-source, and you can use it to do the following: • Human-in-the-loop to steer and correct the agent • Stream intermediate agent state • Real-time state sharing between the agent and the application • Agentic generative UI to build trust that the agent is on the right path Start this GitHub Repository: Thanks to the team for giving me early access and collaborating with me on this post.

Replit, Vercel, and OpenAI have built very cool agent-native applications, but nobody else has passed the demo stage. Building agents that work is complex. Teams aren't shipping agents because we don't have good tooling yet (and most of us don't know how to do this well.) A couple of days ago, the CopilotKit🪁 team announced a collaboration with . You can now use LangGraph with CoAgents to build agent-native applications, and here is everything you need to know about that: CoAgents is fully open-source, and you can use it to do the following: • Human-in-the-loop to steer and correct the agent • Stream intermediate agent state • Real-time state sharing between the agent and the application • Agentic generative UI to build trust that the agent is on the right path Start this GitHub Repository: Thanks to the team for giving me early access and collaborating with me on this post.

Santiago

63,073 views • 1 year ago

day 23 of forking Paperclip today i added knowledge bases for projects and you company. based on Andrej Karpathy idea below. added a 'system chores' and 'agent chores' to manage memory. after each heartbeat run memories get added ('agent chores') and every 4 hours memeries get managed. This is in a db with an API for all agents to use and is seperated form the agents memeroes which they get at instantiation time.

day 23 of forking Paperclip today i added knowledge bases for projects and you company. based on Andrej Karpathy idea below. added a 'system chores' and 'agent chores' to manage memory. after each heartbeat run memories get added ('agent chores') and every 4 hours memeries get managed. This is in a db with an API for all agents to use and is seperated form the agents memeroes which they get at instantiation time.

Michael Houghton 🐺

18,188 views • 6 months ago

Testing Cyberpunk 2077 on the PS5 Pro with the newly added VRR support It runs at about 70-90 FPS at Performance Mode now on the PS5 Pro, unfortunately Quality Mode is still locked to 30FPS as far as I can tell. No official PS5 Pro Support is a shame but this is a good step!

Testing Cyberpunk 2077 on the PS5 Pro with the newly added VRR support It runs at about 70-90 FPS at Performance Mode now on the PS5 Pro, unfortunately Quality Mode is still locked to 30FPS as far as I can tell. No official PS5 Pro Support is a shame but this is a good step!

Synth Potato🥔

202,112 views • 1 year ago

For the second time since the restoration of our independence, King Carl XVI Gustaf of Sweden has come to Ukraine. A government delegation also accompanied him. I thank His Majesty for his visit and for supporting our people. Sweden is among the five largest donors in terms of support for our Armed Forces and our citizens. This is very important for our defense and resilience. Support for Ukraine and possibilities for strengthening the Air Force of Ukraine, including with Gripen aircraft, were among the key topics of the talks. We also discussed continued humanitarian support and energy assistance. Particular attention was paid to defense cooperation. Ukraine is interested in a long-term, mutually beneficial partnership that will strengthen the defense capabilities of both Ukraine and Sweden. I informed the King about Ukraine’s security agreements with countries in the Middle East and the Gulf region, as well as European countries. We are ready to share our experience and technologies with Sweden and to expand cooperation in the defense industry.

For the second time since the restoration of our independence, King Carl XVI Gustaf of Sweden has come to Ukraine. A government delegation also accompanied him. I thank His Majesty for his visit and for supporting our people. Sweden is among the five largest donors in terms of support for our Armed Forces and our citizens. This is very important for our defense and resilience. Support for Ukraine and possibilities for strengthening the Air Force of Ukraine, including with Gripen aircraft, were among the key topics of the talks. We also discussed continued humanitarian support and energy assistance. Particular attention was paid to defense cooperation. Ukraine is interested in a long-term, mutually beneficial partnership that will strengthen the defense capabilities of both Ukraine and Sweden. I informed the King about Ukraine’s security agreements with countries in the Middle East and the Gulf region, as well as European countries. We are ready to share our experience and technologies with Sweden and to expand cooperation in the defense industry.

Volodymyr Zelenskyy / Володимир Зеленський

409,826 views • 5 months ago

Code mode lost by 39 seconds. It is supposed to be the faster way for agents to call MCP tools. Fewer round trips, smaller context. We raced it against classic tool calling on the same Linear task and it lost. The reason isn't a code mode problem. Most MCP servers ship input schemas and nothing else, so the agent knows exactly what to send and has to guess what comes back. It guessed wrong three times, and every wrong guess is a full extra turn. So we built a shape cache that remembers what each tool returns and carries it across sessions. Rematch: 27% faster than classic, 47% cheaper, 42% less context. Mark Hetherington on making [code]smith fast:

Code mode lost by 39 seconds. It is supposed to be the faster way for agents to call MCP tools. Fewer round trips, smaller context. We raced it against classic tool calling on the same Linear task and it lost. The reason isn't a code mode problem. Most MCP servers ship input schemas and nothing else, so the agent knows exactly what to send and has to guess what comes back. It guessed wrong three times, and every wrong guess is a full extra turn. So we built a shape cache that remembers what each tool returns and carries it across sessions. Rematch: 27% faster than classic, 47% cheaper, 42% less context. Mark Hetherington on making [code]smith fast:

Blacksmith

13,748 views • 1 month ago