正在加载视频...

视频加载失败

加载此视频时出现问题。这可能是由于临时网络问题，或视频可能不可用。

Raydium LaunchLab MCP, by Hey Anon Using this MCP, your agent is able to deploy a memecoin via Raydium From image generation, curating a name/ticker, deploying, and dev buying - it is the full stack. Available via x402, ERC 8004, and our API:

Hey Anon

48,930 subscribers

22,177 次观看 • 5 个月前 •via X (Twitter)

教育科学技术财经

Anya Rossi• Live Now

Private livecam show

33 条评论

Raydium 的头像

Raydium5 个月前

1) what

Hey Anon 的头像

Hey Anon5 个月前

2) defai

Hey Anon 的头像

Hey Anon5 个月前

defai

Hey Anon 的头像

Hey Anon5 个月前

paging @Raydium intern btw pls respond 🆘

jetlagged 的头像

jetlagged5 个月前

@Raydium defai season

Hey Anon 的头像

Hey Anon5 个月前

@Raydium hey anon season

culture 的头像

culture5 个月前

@Raydium defai

Hey Anon 的头像

Hey Anon5 个月前

@Raydium on SOLANA

Hannah Hughes 的头像

Hannah Hughes5 个月前

@HeyAnonaiTR @Raydium Bullish

CryptoAce Wolf 的头像

CryptoAce Wolf5 个月前

@Raydium Hey anon always delivers

Western Hammer 的头像

Western Hammer5 个月前

@danielesesta @Raydium Useless

letterbomb 的头像

letterbomb5 个月前

@Raydium hello is this your launchpad's first coin? 4S7qkg8zqdaSwWYKcWEH4CMsuX4oQr8K4QVPr7gqAnon

Hey Anon 的头像

Hey Anon5 个月前

@Raydium no is scam

letterbomb 的头像

letterbomb5 个月前

@Raydium okay thank you!!

RomanSoldier.sats 的头像

RomanSoldier.sats5 个月前

@Raydium 🔥🔥🔥

@likeey™️ 的头像

@likeey™️5 个月前

@Raydium Defai szn Would be bad to miss this season

KashKysh ❄️ 的头像

KashKysh ❄️5 个月前

@Raydium Sounds like a banger move

Ben❓️ 的头像

Ben❓️5 个月前

@Raydium

Gasp 的头像

Gasp5 个月前

@Raydium

justabear💤 的头像

justabear💤5 个月前

@Raydium thats big, lets see how it goes.

𝚆𝚎𝚕𝚙𝚑 𝙰𝚕𝚕𝚛𝚒𝚌𝚑 🛡️ 的头像

𝚆𝚎𝚕𝚙𝚑 𝙰𝚕𝚕𝚛𝚒𝚌𝚑 🛡️5 个月前

@Raydium Noice

0xDimension 🪐 的头像

0xDimension 🪐5 个月前

@Raydium this boolish?

Super Soonic 的头像

Super Soonic5 个月前

@AcemanX69 @Raydium It isnt magic, it is ANON

The WallyNeubig3 🟧🍎🍎🍎🍎 的头像

The WallyNeubig3 🟧🍎🍎🍎🍎5 个月前

@Raydium Bruh!

The WallyNeubig3 🟧🍎🍎🍎🍎 的头像

The WallyNeubig3 🟧🍎🍎🍎🍎5 个月前

@Raydium @HeyAnonai fyi I’m willing to leave it all behind just for you my love.

SP3ND 🛍️ 的头像

SP3ND 🛍️5 个月前

@Raydium Agents deploying tokens via Raydium LaunchLab MCP means the token creation part of the stack is now programmable. That changes what 'launch' means.

100x 的头像

100x5 个月前

@Raydium So bullishhhh 🔥

Chain Alpha 的头像

Chain Alpha5 个月前

@Raydium wow, deploying a memecoin fully automated? interesting…

秦先生的头像

秦先生5 个月前

@Raydium ANON 100x 🚀

Coarsten 的头像

Coarsten5 个月前

@Raydium I'm really interested how good it'll work👀

Dan 的头像

Dan5 个月前

@Raydium it has to be this: EhfPMSJiF28Wwwzcr5Wiq6gR64EdGFcLUzk5NWRpRdHc

Solana Guru 的头像

Solana Guru5 个月前

@Raydium Hey dm me I got something for you.

Gas 的头像

Gas5 个月前

@Raydium Love this agent

相关视频

Hyperliquid MCP, by Hey Anon Direct plumbing for your agent to access the deepest decentralized liquidity. Trade perps, make vaults, capture rebates, manage margin, .. Available via x402, ERC 8004, and our API.

Hyperliquid MCP, by Hey Anon Direct plumbing for your agent to access the deepest decentralized liquidity. Trade perps, make vaults, capture rebates, manage margin, .. Available via x402, ERC 8004, and our API.

Hey Anon

14,570 次观看 • 6 个月前

Huge update for the Hey Anon MCP.. - continue to access the agents via our API: - or now access agents via x402 and ERC 8004:

Huge update for the Hey Anon MCP.. - continue to access the agents via our API: - or now access agents via x402 and ERC 8004:

Hey Anon

25,461 次观看 • 6 个月前

An AI agent can now register its on-chain identity, pay for API calls, and deploy an ERC-20 token from the terminal. No browser. No API key. No human approval loop. Today we launch the Brickken CLI: a command-line interface for agentic transaction workflows. The developer journey is direct: CLI → x402 → ERC-8004 → Token Deploy What this means in practice: • A developer or the AI agent installs the CLI. • The agent pays for Brickken API calls through x402. • The agent registers its identity through ERC-8004. • The agent deploys and manages an ERC-20 token. Together, the stack gives agents three things they usually lack: a way to pay, a way to prove who they are, and a way to execute token operations without leaving the terminal. • x402 handles payment. • ERC-8004 handles agent identity. • Token Deploy handles ERC-20 execution. This is live today. Developers can now move from agent setup to payment, identity registration, and token deployment in one terminal workflow. Start here: Watch the demo. Run the commands. Deploy from the terminal.

An AI agent can now register its on-chain identity, pay for API calls, and deploy an ERC-20 token from the terminal. No browser. No API key. No human approval loop. Today we launch the Brickken CLI: a command-line interface for agentic transaction workflows. The developer journey is direct: CLI → x402 → ERC-8004 → Token Deploy What this means in practice: • A developer or the AI agent installs the CLI. • The agent pays for Brickken API calls through x402. • The agent registers its identity through ERC-8004. • The agent deploys and manages an ERC-20 token. Together, the stack gives agents three things they usually lack: a way to pay, a way to prove who they are, and a way to execute token operations without leaving the terminal. • x402 handles payment. • ERC-8004 handles agent identity. • Token Deploy handles ERC-20 execution. This is live today. Developers can now move from agent setup to payment, identity registration, and token deployment in one terminal workflow. Start here: Watch the demo. Run the commands. Deploy from the terminal.

Brickken

119,221 次观看 • 2 个月前

A first look at buying and remixing a song from KORUS on Claude. Base MCP gives the agent a wallet, letting it transact and settle payment on Base in real time via x402. AiFi in action ↓

A first look at buying and remixing a song from KORUS on Claude. Base MCP gives the agent a wallet, letting it transact and settle payment on Base in real time via x402. AiFi in action ↓

KOR

27,399 次观看 • 10 天前

Stop deploying manually. Watch this demo to learn how to use the Gemini CLI and Google's new Model Context Protocol (MCP) servers to migrate and deploy a full-stack application agentically →

Stop deploying manually. Watch this demo to learn how to use the Gemini CLI and Google's new Model Context Protocol (MCP) servers to migrate and deploy a full-stack application agentically →

Google Cloud Tech

17,943 次观看 • 5 个月前

We're excited to introduce the first fully automated AI Analyst: Amplitude Global Agent Global Agent can do anything a human can do in Amplitude. You can go from creating a cohort to deploying a guide in a few minutes. Global Agent is also available via our new Slack MCP.

We're excited to introduce the first fully automated AI Analyst: Amplitude Global Agent Global Agent can do anything a human can do in Amplitude. You can go from creating a cohort to deploying a guide in a few minutes. Global Agent is also available via our new Slack MCP.

Spenser Skates

11,182 次观看 • 7 个月前

Our MCP Marketplace is now in Beta. Introducing Shopify for AI Agents: no-code creation + community extensibility. Create utility agents by assembling abilities from SendAI, Graffle, & Genopets - WHITTAKR Agent Era community. Or deploy your own via our simple MCP Server tools. More 🧵

Our MCP Marketplace is now in Beta. Introducing Shopify for AI Agents: no-code creation + community extensibility. Create utility agents by assembling abilities from SendAI, Graffle, & Genopets - WHITTAKR Agent Era community. Or deploy your own via our simple MCP Server tools. More 🧵

Elite Agents (EAs)

68,712 次观看 • 1 年前

Agents and developers can now build, test & deploy on OKX Exchange. Agent Trade Kit delivers 80+ tools via MCP or CLI, from market data to trade management across our full product suite. API keys stay local. Fully auditable code. Build on demo & deploy:

Agents and developers can now build, test & deploy on OKX Exchange. Agent Trade Kit delivers 80+ tools via MCP or CLI, from market data to trade management across our full product suite. API keys stay local. Fully auditable code. Build on demo & deploy:

OKX

34,781 次观看 • 6 个月前

Agents and developers can now build, test & deploy on OKX Exchange. Agent Trade Kit delivers 80+ tools via MCP or CLI, from market data to trade management across our full product suite. API keys stay local. Fully auditable code. Build on demo & deploy:

Agents and developers can now build, test & deploy on OKX Exchange. Agent Trade Kit delivers 80+ tools via MCP or CLI, from market data to trade management across our full product suite. API keys stay local. Fully auditable code. Build on demo & deploy:

OKX

535,426 次观看 • 6 个月前

Your AI agent can now buy Glassnode data. x402 pays per call: from your Coinbase 🛡️ balance via Coinbase for Agents (live today), or any USDC wallet via Base MCP. Try: "Pull Glassnode's MVRV and NUPL for BTC and tell me if the market is overheated"

Your AI agent can now buy Glassnode data. x402 pays per call: from your Coinbase 🛡️ balance via Coinbase for Agents (live today), or any USDC wallet via Base MCP. Try: "Pull Glassnode's MVRV and NUPL for BTC and tell me if the market is overheated"

glassnode

39,597 次观看 • 1 个月前

The Cloudflare API has an incredible MCP. It uses Code Mode so you get access to the entire Cloudflare API (~2500 endpoints) in ~1k tokens. In this video we use the MCP to buy a domain, deploy a React app to it, have my agent check errors, fix them and re-deploy. It's SICK🔥

The Cloudflare API has an incredible MCP. It uses Code Mode so you get access to the entire Cloudflare API (~2500 endpoints) in ~1k tokens. In this video we use the MCP to buy a domain, deploy a React app to it, have my agent check errors, fix them and re-deploy. It's SICK🔥

Jilles Soeters

26,300 次观看 • 18 天前

You can connect your Supabase database via MCP server to Cursor! The Cursor agent can get the schema and any data from your database through the official Postgres MCP server! This helps Cursor understand your database better when it needs to modify it to add a new feature!

You can connect your Supabase database via MCP server to Cursor! The Cursor agent can get the schema and any data from your database through the official Postgres MCP server! This helps Cursor understand your database better when it needs to modify it to add a new feature!

Tyler Shukert

203,451 次观看 • 1 年前

SendAI's Solana MCP is now available in the OpenAI Responses API 🤖 Just plug in the SendAI Remote MCP server and prompt Solana actions in your agentic workflows (Chain-of-Thought) using your own Solana wallet. A quick demo of fetching and buying $SEND on the OpenAI Platform:

SendAI's Solana MCP is now available in the OpenAI Responses API 🤖 Just plug in the SendAI Remote MCP server and prompt Solana actions in your agentic workflows (Chain-of-Thought) using your own Solana wallet. A quick demo of fetching and buying $SEND on the OpenAI Platform:

SendAI

22,961 次观看 • 1 年前

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!

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

142,256 次观看 • 1 年前

The exchange layer for AI agents is here. Agent Trade Kit gives developers 80+ tools via MCP or CLI to build, test, and deploy directly on OKX Exchange. From market data to trade execution, it taps into the full OKX product suite.

The exchange layer for AI agents is here. Agent Trade Kit gives developers 80+ tools via MCP or CLI to build, test, and deploy directly on OKX Exchange. From market data to trade execution, it taps into the full OKX product suite.

OKX

32,477 次观看 • 6 个月前

Claude Fable 5 + Higgsfield MCP is insane. You can now build a playable game with a full story and stunning visuals from one click. Fable 5 researches your idea and writes the game. Higgsfield MCP generates all the assets. On Higgsfield Supercomputer and in Claude via Higgsfield MCP.

Claude Fable 5 + Higgsfield MCP is insane. You can now build a playable game with a full story and stunning visuals from one click. Fable 5 researches your idea and writes the game. Higgsfield MCP generates all the assets. On Higgsfield Supercomputer and in Claude via Higgsfield MCP.

Higgsfield AI 🧩

696,710 次观看 • 3 个月前

MCP sucking is a harness problem, not an MCP problem MCP unlocks behavior that is fundamentally impossible to get via CLI or APIs Bad auth, too much context usage, all get solved with an execution layer - your agent writes code to progressively discover and call tools

MCP sucking is a harness problem, not an MCP problem MCP unlocks behavior that is fundamentally impossible to get via CLI or APIs Bad auth, too much context usage, all get solved with an execution layer - your agent writes code to progressively discover and call tools

Rhys

376,723 次观看 • 6 个月前

Executor v1.2.1 is now out, with full Google Discover API support Google Workspace, Search Console, and 70+ other Google APIs all supported Connects to any agent via MCP, only adds 1k tokens to context thanks to code mode, keeps you in the loop through MCP elicitation

Executor v1.2.1 is now out, with full Google Discover API support Google Workspace, Search Console, and 70+ other Google APIs all supported Connects to any agent via MCP, only adds 1k tokens to context thanks to code mode, keeps you in the loop through MCP elicitation

Rhys

32,970 次观看 • 6 个月前

Now, businesses can accept machine payments via our regular ol' Stripe PaymentIntents API. Charge agents for their API usage, MCP calls, or HTTP requests with agent-specific pricing plans, alongside your conventional subscriptions and invoices. Here's a demo from Steve Kaliski:

Now, businesses can accept machine payments via our regular ol' Stripe PaymentIntents API. Charge agents for their API usage, MCP calls, or HTTP requests with agent-specific pricing plans, alongside your conventional subscriptions and invoices. Here's a demo from Steve Kaliski:

Jeff Weinstein

23,493 次观看 • 7 个月前