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wtf is MCP? Paul Klein IV, CEO of explains "Model Context Protocol" (MCP) in plain terms: "There's this new way that people are exposing tools to AI & the 'Model Context Protocol' is one of those ways that you can standardize & give your AI a set of tools...

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Molly O’Shea

57,356 subscribers

20,408 просмотров • 1 год назад •via X (Twitter)

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Комментарии: 11

Фото профиля Molly O’Shea
Molly O’Shea1 год назад

Full conversation here:

Фото профиля Mobile Scanner
Mobile Scanner1 год назад

Scan any documents, convert images into text, PDF files, etc. 👍

Фото профиля Jackson Urano
Jackson Urano1 год назад

@browserbasehq What a layup there with that quote reply, I’ll watch it on my flight shortly

Фото профиля Molly O’Shea
Molly O’Shea1 год назад

@browserbasehq

Фото профиля Ian Patrick Hines
Ian Patrick Hines1 год назад

@browserbasehq oh that is some A+ social media wave-riding

Фото профиля Molly O’Shea
Molly O’Shea1 год назад

@browserbasehq 🤝

Фото профиля seafang
seafang1 год назад

@browserbasehq truly epic every fiber of my being says to shape up the esteemed-free-gemini-api to be more like claude code with some in-house MCP sorcery on some mulan shit

Фото профиля Miranda Nover
Miranda Nover1 год назад

the gym just made me sign a waiver saying i wouldn’t do steroids on the property does this mean I look juiced?

Фото профиля embersunn
embersunn1 год назад

Will vibe coders replace raw coders in the future? Unfortunately, maybe. I had a great convo with a friend about how traditional coding, like we did 8 years ago, might disappear. They made a solid point: why raw code when AI will do it faster and will only be better by then? As much as I want to argue real coding will stick around, I can’t deny that logic

Фото профиля Chris Ching
Chris Ching1 год назад

I’m building indie apps to make money — and I’m sharing raw monthly updates. Spoiler: there’s no big money yet. But that’s exactly why I’m doing this. #buildinpublic #IndieDev

Фото профиля Abril
Abril1 год назад

will be writing an article highlighting my takes and the general overview on decentralized AI this cycle, but want to hear what people are building first (or trying to solve?) I want to find the best AI founders to contribute on abstract. dms are open :)

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Explore the dart_mcp package, a powerful framework for building Model Context Protocol (MCP) servers and clients in Dart, enabling you to connect AI models to resources, tools, and create custom workflows.
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123,179 просмотров • 1 год назад

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22,961 просмотров • 10 месяцев назад

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Today we open Laravel MCP (beta) to the public! Laravel MCP is a library that makes it simple to build Model Context Protocol servers in your Laravel apps. This gives AI clients (like Claude, Cursor, & ChatGPT) a structured way to interact with your application. It's already been field tested by powering Laravel Boost.

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As promised, I built a small local RAG agent to demonstrate how Model Context Protocol (𝐌𝐂𝐏) works in practice when connecting LLMs to tools and data. The agent can read, search, and list my notes; but the functionality itself isn’t the point, the protocol is. Instead of writing Gemini specific tool integrations, I connected the model to an 𝐌𝐂𝐏 server. This is why 𝐌𝐂𝐏 is highly relevant for production AI systems: • 𝐒𝐭𝐚𝐧𝐝𝐚𝐫𝐝𝐢𝐳𝐚𝐭𝐢𝐨𝐧: one protocol instead of custom connectors per data source. • 𝐏𝐨𝐫𝐭𝐚𝐛𝐢𝐥𝐢𝐭𝐲: the same MCP server works with Gemini, Claude, or any MCP compliant client. • 𝐒𝐚𝐟𝐞𝐭𝐲: models can only access explicitly exposed capabilities. 𝐌𝐂𝐏 shifts agent development from integration heavy to capability driven. Demo link in the first comment.
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As promised, I built a small local RAG agent to demonstrate how Model Context Protocol (𝐌𝐂𝐏) works in practice when connecting LLMs to tools and data. The agent can read, search, and list my notes; but the functionality itself isn’t the point, the protocol is. Instead of writing Gemini specific tool integrations, I connected the model to an 𝐌𝐂𝐏 server. This is why 𝐌𝐂𝐏 is highly relevant for production AI systems: • 𝐒𝐭𝐚𝐧𝐝𝐚𝐫𝐝𝐢𝐳𝐚𝐭𝐢𝐨𝐧: one protocol instead of custom connectors per data source. • 𝐏𝐨𝐫𝐭𝐚𝐛𝐢𝐥𝐢𝐭𝐲: the same MCP server works with Gemini, Claude, or any MCP compliant client. • 𝐒𝐚𝐟𝐞𝐭𝐲: models can only access explicitly exposed capabilities. 𝐌𝐂𝐏 shifts agent development from integration heavy to capability driven. Demo link in the first comment.

Sui_Builds

12,853 просмотров • 7 месяцев назад

We’re excited to launch OpenMemory MCP, a private memory for MCP-compatible clients powered by mem0 Today, most AI assistants and dev tools operate without memory. You plan your roadmap in Claude, implement tasks in Cursor, but none of them know what the other did. Each tool operates in isolation, and your context disappears as soon as the session ends. OpenMemory MCP solves this. Built on the open Model Context Protocol (MCP), OpenMemory MCP runs 100% locally and provides a persistent, portable memory layer for all your AI tools. It enables agents and assistants to read from and write to a shared memory, securely and privately. Key capabilities: ✅Works across MCP clients like Cursor, Claude Desktop, Windsurf, Cline and more ✅Provides standardized memory operations (add_memories, search_memory, list_memories, delete_all_memories) ✅Stores data on your machine, fully private ✅Offers a centralized dashboard for visibility and control ✅Simple Docker-based setup with no vendor lock-in If you're building on MCP, OpenMemory MCP is the easiest way to add persistent, private memory to your clients with zero cloud dependencies and full local control. We’ve put together a short demo to show how it works Check it out in the links below 👇
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We’re excited to launch OpenMemory MCP, a private memory for MCP-compatible clients powered by mem0 Today, most AI assistants and dev tools operate without memory. You plan your roadmap in Claude, implement tasks in Cursor, but none of them know what the other did. Each tool operates in isolation, and your context disappears as soon as the session ends. OpenMemory MCP solves this. Built on the open Model Context Protocol (MCP), OpenMemory MCP runs 100% locally and provides a persistent, portable memory layer for all your AI tools. It enables agents and assistants to read from and write to a shared memory, securely and privately. Key capabilities: ✅Works across MCP clients like Cursor, Claude Desktop, Windsurf, Cline and more ✅Provides standardized memory operations (add_memories, search_memory, list_memories, delete_all_memories) ✅Stores data on your machine, fully private ✅Offers a centralized dashboard for visibility and control ✅Simple Docker-based setup with no vendor lock-in If you're building on MCP, OpenMemory MCP is the easiest way to add persistent, private memory to your clients with zero cloud dependencies and full local control. We’ve put together a short demo to show how it works Check it out in the links below 👇

Taranjeet

472,126 просмотров • 1 год назад

What is MCP and why is everyone talking about it? In our latest episode of the GitHub Podcast, the team breaks down how the Model Context Protocol is making AI tools more powerful, open, and accessible. Listen wherever you catch your podcasts or
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What is MCP and why is everyone talking about it? In our latest episode of the GitHub Podcast, the team breaks down how the Model Context Protocol is making AI tools more powerful, open, and accessible. Listen wherever you catch your podcasts or

GitHub

25,233 просмотров • 1 год назад

This week, ML Scientist @dimid_ml shares an exciting update on the Theoriq Protocol. ⚡️ As MCP gains momentum in connecting AI models with external tools and data, our team has moved fast to integrate an MCP server directly into Theoriq’s SDK. This upgrade makes it easy for agents to register, manage, and update other agents on the protocol, laying the foundation for a more flexible and adaptable agentic ecosystem. More below.
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This week, ML Scientist @dimid_ml shares an exciting update on the Theoriq Protocol. ⚡️ As MCP gains momentum in connecting AI models with external tools and data, our team has moved fast to integrate an MCP server directly into Theoriq’s SDK. This upgrade makes it easy for agents to register, manage, and update other agents on the protocol, laying the foundation for a more flexible and adaptable agentic ecosystem. More below.

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82,463 просмотров • 1 год назад