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Big launch today: Custom MCP integrations for Replit Agent! 🚀 You can now connect Replit Agent to remote MCP servers, letting it pull context and take actions across your tools- so it can build, update, and act with deeper context than ever. Use cases this unlocks for you: -...

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Replit ⠕

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53,075 görüntüleme • 7 ay önce •via X (Twitter)

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🚀 Notion → Replit, now automated with Custom MCPs Checkout the demo below on how to: ✅ Use Notion AI to generate a PRD for an app ✅ Use Replit Agent to build the app and integrate it with Notion database 🚀 ✅ Define in Notion. Build in Replit. From strategy to software in minutes. ✨
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🚀 Notion → Replit, now automated with Custom MCPs Checkout the demo below on how to: ✅ Use Notion AI to generate a PRD for an app ✅ Use Replit Agent to build the app and integrate it with Notion database 🚀 ✅ Define in Notion. Build in Replit. From strategy to software in minutes. ✨

Replit ⠕

43,948 görüntüleme • 7 ay önce

You can build custom Integrations for any app or tool with remote MCP. Or integrate pre-built servers like Zapier and Asana. Once connected, Claude can take action across your tools: creating tasks, updating documents, and triggering workflows.
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You can build custom Integrations for any app or tool with remote MCP. Or integrate pre-built servers like Zapier and Asana. Once connected, Claude can take action across your tools: creating tasks, updating documents, and triggering workflows.

Anthropic

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We partnered with Shopify so you can go from idea to live store in minutes Just tell Replit Agent what you want to sell. It will: - Build a custom storefront - Create your Shopify store - Help you add products Claim it in Shopify, set up payments, and you're open for business.
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We partnered with Shopify so you can go from idea to live store in minutes Just tell Replit Agent what you want to sell. It will: - Build a custom storefront - Create your Shopify store - Help you add products Claim it in Shopify, set up payments, and you're open for business.

Replit ⠕

67,242 görüntüleme • 1 ay önce

Replit Agent got even better at keeping you in your creative flow! It now suggests follow-up tasks using full context of your project to build on your ideas: • new features to build • performance improvements • user experience enhancements Review the plan, accept what you want, and let tasks run in the background while you keep building.
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Replit Agent got even better at keeping you in your creative flow! It now suggests follow-up tasks using full context of your project to build on your ideas: • new features to build • performance improvements • user experience enhancements Review the plan, accept what you want, and let tasks run in the background while you keep building.

Replit ⠕

29,944 görüntüleme • 3 ay önce

BREAKING: Replit just launched mobile apps. Now you can build in Replit ⠕ and submit straight to the App Store for review. Describe your app → build it on Replit → test on your phone → publish to the App Store. I built a unicorn pet app for my niece: - Worked with Replit Agent to build it out - Scanned a QR code to download and test on my phone - One click to send to App Store Connect for review - A couple submissions later, it's live in the App Store! 🙌 I didn't write a single line of code! Just described what I wanted to Agent. Amazing! 😅 Go build something!! 👇
1:42

BREAKING: Replit just launched mobile apps. Now you can build in Replit ⠕ and submit straight to the App Store for review. Describe your app → build it on Replit → test on your phone → publish to the App Store. I built a unicorn pet app for my niece: - Worked with Replit Agent to build it out - Scanned a QR code to download and test on my phone - One click to send to App Store Connect for review - A couple submissions later, it's live in the App Store! 🙌 I didn't write a single line of code! Just described what I wanted to Agent. Amazing! 😅 Go build something!! 👇

Manny Bernabe

30,925 görüntüleme • 6 ay önce

New short course: Build AI Apps with MCP Servers: Working with Box Files, built with Box and taught by Ben Kus , their CTO. Many AI applications require custom code for basic file operations. The Model Context Protocol (MCP) standardizes this by letting you offload file tasks to dedicated servers that provide tools an LLM can use directly. In this course, you'll process documents stored in a Box folder using the Box MCP server. Rather than writing custom integration code to connect to the Box API and download files, you'll design your application to use the tools provided via MCP. Skills you'll gain: - Build an LLM-powered document processing app, using the Box MCP server to access files - Design a multi-agent system using Google's Agent Development Kit (ADK), consisting of specialized agents for file operations - Coordinate the multi-agent workflow through an orchestrator that uses the Agent2Agent (A2A) protocol to connect to the agents You'll start with a local file-processing app, refactor it to work with Box's MCP server, then evolve it into a multi-agent system. Sign up here:
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New short course: Build AI Apps with MCP Servers: Working with Box Files, built with Box and taught by Ben Kus , their CTO. Many AI applications require custom code for basic file operations. The Model Context Protocol (MCP) standardizes this by letting you offload file tasks to dedicated servers that provide tools an LLM can use directly. In this course, you'll process documents stored in a Box folder using the Box MCP server. Rather than writing custom integration code to connect to the Box API and download files, you'll design your application to use the tools provided via MCP. Skills you'll gain: - Build an LLM-powered document processing app, using the Box MCP server to access files - Design a multi-agent system using Google's Agent Development Kit (ADK), consisting of specialized agents for file operations - Coordinate the multi-agent workflow through an orchestrator that uses the Agent2Agent (A2A) protocol to connect to the agents You'll start with a local file-processing app, refactor it to work with Box's MCP server, then evolve it into a multi-agent system. Sign up here:

Andrew Ng

81,696 görüntüleme • 10 ay önce

Introducing Slackbot's MCP client, now available with more than 20 partner apps! With Slackbot MCP, you can: 🚀 Build an app with Replit ⠕ 📊 Pull a live Amplitude chart ✅ Update a Linear ticket 🎨 Create a Canva design ...and a whole lot more, all without leaving the conversation. Multiply your output with multiplayer work in Slack. Learn more:
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Introducing Slackbot's MCP client, now available with more than 20 partner apps! With Slackbot MCP, you can: 🚀 Build an app with Replit ⠕ 📊 Pull a live Amplitude chart ✅ Update a Linear ticket 🎨 Create a Canva design ...and a whole lot more, all without leaving the conversation. Multiply your output with multiplayer work in Slack. Learn more:

Slack

171,477 görüntüleme • 29 gün önce

New course: MCP: Build Rich-Context AI Apps with Anthropic. Learn to build AI apps that access tools, data, and prompts using the Model Context Protocol in this short course, created in partnership with Anthropic Anthropic and taught by Elie Schoppik Elie Schoppik, its Head of Technical Education. Connecting AI applications to external systems that bring rich context to LLM-based applications has often meant writing custom integrations for each use case. MCP is an open protocol that standardizes how LLMs access tools, data, and prompts from external sources, and simplifies how you provide context to your LLM-based applications. For example, you can provide context via third-party tools that let your LLM make API calls to search the web, access data from local docs, retrieve code from a GitHub repo, and so on. MCP, developed by Anthropic, is based on a client-server architecture that defines the communication details between an MCP client, hosted inside the AI application, and an MCP server that exposes tools, resources, and prompt templates. The server can be a subprocess launched by the client that runs locally or an independent process running remotely. In this hands-on course, you'll learn the core architecture behind MCP. You’ll create an MCP-compatible chatbot, build and deploy an MCP server, and connect the chatbot to your MCP server and other open-source servers. Here’s what you’ll do: - Understand why MCP makes AI development less fragmented and standardizes connections between AI applications and external data sources - Learn the core components of the client-server architecture of MCP and the underlying communication mechanism - Build a chatbot with custom tools for searching academic papers, and transform it into an MCP-compatible application - Build a local MCP server that exposes tools, resources, and prompt templates using FastMCP, and test it using MCP Inspector - Create an MCP client inside your chatbot to dynamically connect to your server - Connect your chatbot to reference servers built by Anthropic’s MCP team, such as filesystem, which implements filesystem operations, and fetch, which extracts contents from the web as markdown - Configure Claude Desktop to connect to your server and others, and explore how it abstracts away the low-level logic of MCP clients - Deploy your MCP server remotely and test it with the Inspector or other MCP-compatible applications - Learn about the roadmap for future MCP development, such as multi-agent architecture, MCP registry API, server discovery, authorization, and authentication MCP is an exciting and important technology that lets you build rich-context AI applications that connect to a growing ecosystem of MCP servers, with minimal integration work. Please sign up here!
2:43

New course: MCP: Build Rich-Context AI Apps with Anthropic. Learn to build AI apps that access tools, data, and prompts using the Model Context Protocol in this short course, created in partnership with Anthropic Anthropic and taught by Elie Schoppik Elie Schoppik, its Head of Technical Education. Connecting AI applications to external systems that bring rich context to LLM-based applications has often meant writing custom integrations for each use case. MCP is an open protocol that standardizes how LLMs access tools, data, and prompts from external sources, and simplifies how you provide context to your LLM-based applications. For example, you can provide context via third-party tools that let your LLM make API calls to search the web, access data from local docs, retrieve code from a GitHub repo, and so on. MCP, developed by Anthropic, is based on a client-server architecture that defines the communication details between an MCP client, hosted inside the AI application, and an MCP server that exposes tools, resources, and prompt templates. The server can be a subprocess launched by the client that runs locally or an independent process running remotely. In this hands-on course, you'll learn the core architecture behind MCP. You’ll create an MCP-compatible chatbot, build and deploy an MCP server, and connect the chatbot to your MCP server and other open-source servers. Here’s what you’ll do: - Understand why MCP makes AI development less fragmented and standardizes connections between AI applications and external data sources - Learn the core components of the client-server architecture of MCP and the underlying communication mechanism - Build a chatbot with custom tools for searching academic papers, and transform it into an MCP-compatible application - Build a local MCP server that exposes tools, resources, and prompt templates using FastMCP, and test it using MCP Inspector - Create an MCP client inside your chatbot to dynamically connect to your server - Connect your chatbot to reference servers built by Anthropic’s MCP team, such as filesystem, which implements filesystem operations, and fetch, which extracts contents from the web as markdown - Configure Claude Desktop to connect to your server and others, and explore how it abstracts away the low-level logic of MCP clients - Deploy your MCP server remotely and test it with the Inspector or other MCP-compatible applications - Learn about the roadmap for future MCP development, such as multi-agent architecture, MCP registry API, server discovery, authorization, and authentication MCP is an exciting and important technology that lets you build rich-context AI applications that connect to a growing ecosystem of MCP servers, with minimal integration work. Please sign up here!

Andrew Ng

142,010 görüntüleme • 1 yıl önce

You can now import your project from Lovable, Base44, V0 into Replit ⠕ for free. After importing, Replit Agent will build a free mobile app for it and get it onto the App Store in minutes. All free for a limited time:
0:50

You can now import your project from Lovable, Base44, V0 into Replit ⠕ for free. After importing, Replit Agent will build a free mobile app for it and get it onto the App Store in minutes. All free for a limited time:

Zhen Li

213,022 görüntüleme • 2 ay önce

You don’t need to code to build anymore. You just need a sentence. Type what you want in plain English and Replit builds it with you. Database. Auth. Hosting. Deployment. All done, instantly. Add your favorite tools in one click: Notion, Slack, Dropbox, Google Drive no setup, no API keys. Got a Figma design? Import it. Watch it come alive as a working app. ⚡ And yes, you can do it all from your phone. Because Replit ⠕’s mobile app means your next product fits right in your pocket. - Build anywhere. - Build in plain English. - Build what you imagine. 👉
0:36

You don’t need to code to build anymore. You just need a sentence. Type what you want in plain English and Replit builds it with you. Database. Auth. Hosting. Deployment. All done, instantly. Add your favorite tools in one click: Notion, Slack, Dropbox, Google Drive no setup, no API keys. Got a Figma design? Import it. Watch it come alive as a working app. ⚡ And yes, you can do it all from your phone. Because Replit ⠕’s mobile app means your next product fits right in your pocket. - Build anywhere. - Build in plain English. - Build what you imagine. 👉

Parul Gautam

101,913 görüntüleme • 8 ay önce

HERMES AGENT JUST GOT A RESEARCH BRAIN. connect it to NotebookLM and it becomes a 247 research system that builds knowledge over time. it resources. connects ideas across sources. uses that context in every real task. setup in 4 steps: 1. install Hermes with MCP enabled 2. download NotebookLM skill from GitHub 3. add endpoint to MCP servers in config 4. restart Hermes what your agent can now do: → query your notebooks instead of the open web → connect ideas across multiple sources → build knowledge session after session → use your curated context in every /goal → zero hallucinations from your own verified sources ask it anything — it answers from what YOU already know. full setup guide — MCP, models, use cases — in the article 👇
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HERMES AGENT JUST GOT A RESEARCH BRAIN. connect it to NotebookLM and it becomes a 247 research system that builds knowledge over time. it resources. connects ideas across sources. uses that context in every real task. setup in 4 steps: 1. install Hermes with MCP enabled 2. download NotebookLM skill from GitHub 3. add endpoint to MCP servers in config 4. restart Hermes what your agent can now do: → query your notebooks instead of the open web → connect ideas across multiple sources → build knowledge session after session → use your curated context in every /goal → zero hallucinations from your own verified sources ask it anything — it answers from what YOU already know. full setup guide — MCP, models, use cases — in the article 👇

YanXbt

185,901 görüntüleme • 1 ay önce

Build your first AI agent + MCP Server in Python. Here is everything you need to build your first AI agent in less than 20 minutes. About the code you'll see here: 1. I used Google ADK with Gemini Flash to power the agent 2. The agent connects to an MCP server 3. It also uses two custom tools to do its work 4. You can see everything the agent does thanks to Comet's Opik library Here is the video, free for you to watch.
17:04

Build your first AI agent + MCP Server in Python. Here is everything you need to build your first AI agent in less than 20 minutes. About the code you'll see here: 1. I used Google ADK with Gemini Flash to power the agent 2. The agent connects to an MCP server 3. It also uses two custom tools to do its work 4. You can see everything the agent does thanks to Comet's Opik library Here is the video, free for you to watch.

Santiago

56,569 görüntüleme • 1 yıl önce

MCP connectors are now available in Basedash. Basedash already reads from your databases and SaaS tools. Now it can act on them too. Connect any MCP server (Linear, HubSpot, Slack, Resend, Notion, GitHub, your own internal one) and the Basedash agent gets new tools it can use right inside chat. Try it today.
0:29

MCP connectors are now available in Basedash. Basedash already reads from your databases and SaaS tools. Now it can act on them too. Connect any MCP server (Linear, HubSpot, Slack, Resend, Notion, GitHub, your own internal one) and the Basedash agent gets new tools it can use right inside chat. Try it today.

Basedash

11,138 görüntüleme • 2 ay önce

🚀 Introducing Queue: A Smarter Way to Build with Replit Agent Today, we’re excited to launch Queue, a powerful new capability designed to enhance your experience with Replit Agent. With Queue, you can submit multiple tasks while your Agent is still working—no more waiting around or breaking your flow. As each task completes, the Agent automatically moves to the next. You can: ✅ Add multiple tasks for the Agent to process in order. ✅ Edit, reorder, or reprioritize messages on the fly. ✅ Attach files and adjust settings—including toggling extended thinking or selecting a different model—per task.
0:27

🚀 Introducing Queue: A Smarter Way to Build with Replit Agent Today, we’re excited to launch Queue, a powerful new capability designed to enhance your experience with Replit Agent. With Queue, you can submit multiple tasks while your Agent is still working—no more waiting around or breaking your flow. As each task completes, the Agent automatically moves to the next. You can: ✅ Add multiple tasks for the Agent to process in order. ✅ Edit, reorder, or reprioritize messages on the fly. ✅ Attach files and adjust settings—including toggling extended thinking or selecting a different model—per task.

Replit ⠕

75,576 görüntüleme • 1 yıl önce

When we unveiled Replit Agent in beta last year, we showed how to build a landmark explorer so you can see interesting things around you. It was slow, buggy, not pretty, and expensive. Now with Replit Design I can make it styled exactly to my taste fast and cheap—on my phone!
0:21

When we unveiled Replit Agent in beta last year, we showed how to build a landmark explorer so you can see interesting things around you. It was slow, buggy, not pretty, and expensive. Now with Replit Design I can make it styled exactly to my taste fast and cheap—on my phone!

Amjad Masad

12,750 görüntüleme • 7 ay önce

It got even easier to go from design to app! 🚀 Replit users can now drop Figma links into the Agent chat and build or update their apps from their designs. 🎨 Currently in Beta for Figma developer or full seat users only.
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It got even easier to go from design to app! 🚀 Replit users can now drop Figma links into the Agent chat and build or update their apps from their designs. 🎨 Currently in Beta for Figma developer or full seat users only.

Replit ⠕

30,182 görüntüleme • 9 ay önce

Need a beautiful design for your next Replit app? Head to 21st⁠.dev and: - Find a design - Copy the prompt into Replit Agent - Iterate and add Replit’s built-in tools and databases - Deploy your app to the public - Profit Share what you build and tag us!
0:35

Need a beautiful design for your next Replit app? Head to 21st⁠.dev and: - Find a design - Copy the prompt into Replit Agent - Iterate and add Replit’s built-in tools and databases - Deploy your app to the public - Profit Share what you build and tag us!

Replit ⠕

50,651 görüntüleme • 1 yıl önce

Building AI agents and tools is getting ridiculously easy! Here is a pretty impressive FREE and Open-Source AI agent builder that runs on your computer. It's a desktop app you can install on Mac or Windows. Link: • Free • 100% no-code: You can type what you want, and the tool will build everything for you. • You can use local models like DeepSeek or Qwen, or connect to cloud models like GPT-4o, Claude, or Gemini with your API key. • You can turn the tools you build into MCP Servers. I recorded a quick video to show you how easy it is to build something from scratch.
4:10

Building AI agents and tools is getting ridiculously easy! Here is a pretty impressive FREE and Open-Source AI agent builder that runs on your computer. It's a desktop app you can install on Mac or Windows. Link: • Free • 100% no-code: You can type what you want, and the tool will build everything for you. • You can use local models like DeepSeek or Qwen, or connect to cloud models like GPT-4o, Claude, or Gemini with your API key. • You can turn the tools you build into MCP Servers. I recorded a quick video to show you how easy it is to build something from scratch.

Santiago

56,815 görüntüleme • 1 yıl önce

Don't type it. Just say it. Slackbot now takes direction by voice — and acts with your context, priorities, and tools in mind. Log a ticket. Get a build status. Pull a report. Hands-free. See what else we shipped today, including Memory, MCP Client, and Voice Actions — all live now!
0:30

Don't type it. Just say it. Slackbot now takes direction by voice — and acts with your context, priorities, and tools in mind. Log a ticket. Get a build status. Pull a report. Hands-free. See what else we shipped today, including Memory, MCP Client, and Voice Actions — all live now!

Slack

14,966 görüntüleme • 23 gün önce

Agent-in-the-browser unlocks superpowers. The magic really shines when you bring your own model, system prompts, and MCP tools into the mix. Hence, AgentBoard 🪄. Your models, keys, and settings. Integration with remote MCP servers and — this is where it gets really fun — ability to register and allow the agent to call custom ~WebMCP tools that execute in context of the page. Chrome Web Store: Code:
3:51

Agent-in-the-browser unlocks superpowers. The magic really shines when you bring your own model, system prompts, and MCP tools into the mix. Hence, AgentBoard 🪄. Your models, keys, and settings. Integration with remote MCP servers and — this is where it gets really fun — ability to register and allow the agent to call custom ~WebMCP tools that execute in context of the page. Chrome Web Store: Code:

Ilya Grigorik

22,961 görüntüleme • 9 ay önce