Loading video...

Video Failed to Load

There was a problem loading this video. This could be due to a temporary network issue or the video might be unavailable.

The Injective AI Agent SDK is officially live. One command installs the stack and connects Cursor to Injective’s MCP server. Your agent can research the docs, query chain data, and execute onchain actions from the same workflow. Watch the setup below ⤵️

Injective 🥷

540,580 subscribers

33,366 views • 12 days ago •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

0 Comments

No comments available

Comments from the original post will appear here

Related Videos

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 views • 1 year ago

Here is a step-by-step introduction to building a workflow with a custom AI agent that uses MCP. I explain every component in the video: 1. Building the MCP server 2. Building the agent and an MCP client 3. Building a workflow that uses the agent The goal is simple: Generate a dialogue between two people and make one yell and the other answer with sarcasm. Kestra is sponsoring this video. They are an open-source orchestration platform (repo link below), and I used them to build the workflow that connects every component.

Here is a step-by-step introduction to building a workflow with a custom AI agent that uses MCP. I explain every component in the video: 1. Building the MCP server 2. Building the agent and an MCP client 3. Building a workflow that uses the agent The goal is simple: Generate a dialogue between two people and make one yell and the other answer with sarcasm. Kestra is sponsoring this video. They are an open-source orchestration platform (repo link below), and I used them to build the workflow that connects every component.

Santiago

51,527 views • 1 year ago

Setup MCP on Cursor with Google Docs in less than 2 mins!! I used Cursor to to create PRDs in Google Docs Here's how you can do it too: - Go to the MCP directory - Search for Google Docs and grab your sse url - Paste the url and set up MCP in Cursor - Use Cursor Agent to authenticate and create PRD Check out the 100+ tools available at

Setup MCP on Cursor with Google Docs in less than 2 mins!! I used Cursor to to create PRDs in Google Docs Here's how you can do it too: - Go to the MCP directory - Search for Google Docs and grab your sse url - Paste the url and set up MCP in Cursor - Use Cursor Agent to authenticate and create PRD Check out the 100+ tools available at

Soham

151,221 views • 1 year ago

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 views • 1 month ago

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.

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 views • 1 year ago

Unreal Engine 5.8 ships today with experimental MCP server support: Your sources, your pipeline and your workflow—simply configure the MCP plugin and connect to any agent. Get familiar with the MCP server and the PCG Primitive Plugin today and see what teams can build together:

Unreal Engine 5.8 ships today with experimental MCP server support: Your sources, your pipeline and your workflow—simply configure the MCP plugin and connect to any agent. Get familiar with the MCP server and the PCG Primitive Plugin today and see what teams can build together:

Unreal Engine

3,019,918 views • 1 month ago

Transform AI agent workflows into MCP servers. MCP clients like Cursor and Windsurf can invoke and orchestrate agents the same way it does other MCP servers. 100% opensource.

Transform AI agent workflows into MCP servers. MCP clients like Cursor and Windsurf can invoke and orchestrate agents the same way it does other MCP servers. 100% opensource.

Shubham Saboo

16,340 views • 1 year ago

A sneak peek into iAgent, the first Injective AI agent based sdk. iAgent will allow anyone to send lightning fast payments, execute on-chain trades and more with AI powered commands with LLMs such as OpenAI. Demo by Injective Labs CEO Ericchen.inj. Launching this week ⏳

A sneak peek into iAgent, the first Injective AI agent based sdk. iAgent will allow anyone to send lightning fast payments, execute on-chain trades and more with AI powered commands with LLMs such as OpenAI. Demo by Injective Labs CEO Ericchen.inj. Launching this week ⏳

Injective 🥷

103,038 views • 1 year ago

Automate Customer Support entirely with Cursor + MCP!! Cursor Agent can now autonomously fetch emails, solve code issues with codebase indexing and reply to these emails. Here's how you can do it in just 2 mins, - Go to Composio's MCP directory - Click on the Gmail app and copy the sse url for Cursor - Add MCP server in cursor and complete auth - Let Cursor fetch emails, solve issues and reply to the query instantly All you need is

Automate Customer Support entirely with Cursor + MCP!! Cursor Agent can now autonomously fetch emails, solve code issues with codebase indexing and reply to these emails. Here's how you can do it in just 2 mins, - Go to Composio's MCP directory - Click on the Gmail app and copy the sse url for Cursor - Add MCP server in cursor and complete auth - Let Cursor fetch emails, solve issues and reply to the query instantly All you need is

Karan Vaidya

63,866 views • 1 year ago

Dune CLI & Skills are live 🔔 130+ chains of onchain data, now agent-native. Your AI agents can now: ✅ Discover onchain tables and schemas ✅ Write and execute DuneSQL ✅ Search Dune docs ✅ Handle errors automatically ✅ Optimizing costs More context-efficient than MCP for terminals ( Claude Code, OpenCode, Cursor) and agents ( OpenClaw🦞, NanoClaw, IronClaw , etc).

Dune CLI & Skills are live 🔔 130+ chains of onchain data, now agent-native. Your AI agents can now: ✅ Discover onchain tables and schemas ✅ Write and execute DuneSQL ✅ Search Dune docs ✅ Handle errors automatically ✅ Optimizing costs More context-efficient than MCP for terminals ( Claude Code, OpenCode, Cursor) and agents ( OpenClaw🦞, NanoClaw, IronClaw , etc).

Dune

75,538 views • 5 months ago

Watch Hedera Agent Lab in action 👀 From setup to chatting with a live on-chain AI agent - the full walkthrough in one video. Try it yourself 👉

Watch Hedera Agent Lab in action 👀 From setup to chatting with a live on-chain AI agent - the full walkthrough in one video. Try it yourself 👉

Hedera

22,087 views • 4 months ago

We can finally say it! is launching today! We spent a year building the data substrate for the agent economy, one MCP that allows your agents to query the world as a DB, so you can skip the data and focus on building what matters! Cala

We can finally say it! is launching today! We spent a year building the data substrate for the agent economy, one MCP that allows your agents to query the world as a DB, so you can skip the data and focus on building what matters! Cala

Elisenda Bou-Balust

18,688 views • 3 months ago

Introducing SEO AI Agent 🚀 The first autonomous AI that connects directly to Ahrefs, Search Console, SERP, and Google Keyword Planner to handle your entire SEO workflow. From keyword research to content strategy—all with real data, not AI hallucinations. Here's what it can do 🧵

Introducing SEO AI Agent 🚀 The first autonomous AI that connects directly to Ahrefs, Search Console, SERP, and Google Keyword Planner to handle your entire SEO workflow. From keyword research to content strategy—all with real data, not AI hallucinations. Here's what it can do 🧵

Samanyou Garg

109,061 views • 1 year ago

Today we're launching the PlanetScale hosted MCP server. Use your favorite AI agent to explore your data, identify slow queries, and improve database performance.

Today we're launching the PlanetScale hosted MCP server. Use your favorite AI agent to explore your data, identify slow queries, and improve database performance.

PlanetScale

29,423 views • 6 months ago

Today we're launching Amplitude MCP MCP was made for data analytics. Ask a vague question and have an AI model iteratively query Amplitude to find you insights. Amplitude MCP exposes all of Amplitude's functionality so an agent can interact with it directly. It allows you to use Amplitude without having to know anything about Amplitude's user interface or your data taxonomy. It uses the intelligence of off the shelf AI agents, including Claude, Gemini, and Cursor, to query Amplitude data you already have to find answers. It leverages all of your existing Amplitude data and how it's used to navigate through large complex behavioral datasets. You can have conversations about your product data directly inside any AI model with MCP. It can create Amplitude dashboards and notebooks with what it finds and even make recommendations. This is the best MCP use case I've ever seen. Watching an AI agent think, reason, query Amplitude, and then repeat that process iteratively is magical. See it in action:

Today we're launching Amplitude MCP MCP was made for data analytics. Ask a vague question and have an AI model iteratively query Amplitude to find you insights. Amplitude MCP exposes all of Amplitude's functionality so an agent can interact with it directly. It allows you to use Amplitude without having to know anything about Amplitude's user interface or your data taxonomy. It uses the intelligence of off the shelf AI agents, including Claude, Gemini, and Cursor, to query Amplitude data you already have to find answers. It leverages all of your existing Amplitude data and how it's used to navigate through large complex behavioral datasets. You can have conversations about your product data directly inside any AI model with MCP. It can create Amplitude dashboards and notebooks with what it finds and even make recommendations. This is the best MCP use case I've ever seen. Watching an AI agent think, reason, query Amplitude, and then repeat that process iteratively is magical. See it in action:

Spenser Skates

32,332 views • 9 months ago

Your AI agent can now generate and ship videos. HeyGen CLI is now live. Run one command and your agent handles it all: script → avatar creation → video → delivery All from the terminal. Just your agent and the CLI. RT + Comment “CLI” and we’ll DM API credits (must follow)

HeyGen

225,625 views • 4 months ago

The Stripe MCP server is now available in Notion Custom Agents. Your agent can now create customers, generate payment links, and fetch Stripe details - right inside your docs. Try the template →

The Stripe MCP server is now available in Notion Custom Agents. Your agent can now create customers, generate payment links, and fetch Stripe details - right inside your docs. Try the template →

Stripe Developers

22,049 views • 5 months ago

Introducing AgentKey by Chainbase Labs. AgentKey connects AI agents to the outside world. With one install, your agent can access web search, read pages, reach social platforms, query crypto data, and more. Try it now:

Introducing AgentKey by Chainbase Labs. AgentKey connects AI agents to the outside world. With one install, your agent can access web search, read pages, reach social platforms, query crypto data, and more. Try it now:

Chainbase (💜,💛)

23,102 views • 3 months ago

Now it’s time to onboard more builders. We’ve put together a short developer onboarding video. The video covers: - 1⃣: How to build your first agent with the Unibase Agent SDK and deploy it to Unibase AIP — from anywhere - 2⃣: How to call deployed agents and execute tasks via the Unibase AIP SDK — from anywhere Next up, we’ll show how to use Unibase Membase to persist the memory of the OpenClaw bot 🧠 🔗Useful Link ▫️Unibase Docs: ▫️Unibase Agent SDK: Your Fast way to spin up your first agent with AIP. ▫️Unibase AIP SDK & DOCS ▫️AIP 2.0 DOCS: *As the SDK is under active development, certain interfaces may be subject to change. Please refer to the latest GitHub source for the authoritative implementation.

Now it’s time to onboard more builders. We’ve put together a short developer onboarding video. The video covers: - 1⃣: How to build your first agent with the Unibase Agent SDK and deploy it to Unibase AIP — from anywhere - 2⃣: How to call deployed agents and execute tasks via the Unibase AIP SDK — from anywhere Next up, we’ll show how to use Unibase Membase to persist the memory of the OpenClaw bot 🧠 🔗Useful Link ▫️Unibase Docs: ▫️Unibase Agent SDK: Your Fast way to spin up your first agent with AIP. ▫️Unibase AIP SDK & DOCS ▫️AIP 2.0 DOCS: *As the SDK is under active development, certain interfaces may be subject to change. Please refer to the latest GitHub source for the authoritative implementation.

Unibase

19,712 views • 6 months ago