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Comfy MCP is now local and open-source! The #1 ask after Comfy Cloud MCP shipped in June. Your agent sees your actual install. So every node, custom nodes included, and every model on disk. It fetches files, starts your instance, gets a workflow to the point where it runs....

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ComfyUI

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169,747 просмотров • 12 дней назад •via X (Twitter)

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We just launched Comfy MCP in public beta, the first MCP built for production pipelines. Connect Claude, Codex, Cursor, or Hermes to the entire ComfyUI ecosystem. → Run any workflow in natural language → Search models, nodes, and templates → Share a workflow URL - your agent picks it up → Re-run saved workflows on new inputs without touching a single node → Hundreds of pre-built workflows. Always auto-updated 20 product-placement images for your brand ads. Character design for your game art. Script-to-shot ideation at scale and so on! Your agent is now a creative technologist.
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We just launched Comfy MCP in public beta, the first MCP built for production pipelines. Connect Claude, Codex, Cursor, or Hermes to the entire ComfyUI ecosystem. → Run any workflow in natural language → Search models, nodes, and templates → Share a workflow URL - your agent picks it up → Re-run saved workflows on new inputs without touching a single node → Hundreds of pre-built workflows. Always auto-updated 20 product-placement images for your brand ads. Character design for your game art. Script-to-shot ideation at scale and so on! Your agent is now a creative technologist.

ComfyUI

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Internet Identity is getting an MCP server. We sat down with Arshavir Ter-Gabrielyan to understand what it is and why it matters. He starts with the problem: an AI agent runs in a cloud sandbox. No access to your device. No safe way to hold your keys. The MCP server is the answer. Keys stay in a trusted execution environment, and the agent asks permission to act in each app. Full conversation below.
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Internet Identity is getting an MCP server. We sat down with Arshavir Ter-Gabrielyan to understand what it is and why it matters. He starts with the problem: an AI agent runs in a cloud sandbox. No access to your device. No safe way to hold your keys. The MCP server is the answer. Keys stay in a trusted execution environment, and the agent asks permission to act in each app. Full conversation below.

DFINITY Foundation

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Model Context Protocol (MCP) lets Gemini CLI connect to your databases, cloud services, and local files without custom integrations for every tool! Watch this week’s livestream to see how it works →
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Model Context Protocol (MCP) lets Gemini CLI connect to your databases, cloud services, and local files without custom integrations for every tool! Watch this week’s livestream to see how it works →

Google Cloud Tech

28,269 просмотров • 6 месяцев назад

Your entire n8n instance is now MCP-ready. Access your workflows through native connectors in Lovable and Mistral AI, with Claude and more platforms on the way! Give it a try with n8n version 1.121.2 and your go-to MCP-enabled platform. 🔗 Watch the full video here:
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Your entire n8n instance is now MCP-ready. Access your workflows through native connectors in Lovable and Mistral AI, with Claude and more platforms on the way! Give it a try with n8n version 1.121.2 and your go-to MCP-enabled platform. 🔗 Watch the full video here:

n8n.io

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Meet June: your private AI agent now with local models on your Mac. Turn the wifi off: Agent, dictation, meeting notes, and your files all in one workspace. 100% free to use with local inference. Open Source. MIT. Local first. Try it:
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Meet June: your private AI agent now with local models on your Mac. Turn the wifi off: Agent, dictation, meeting notes, and your files all in one workspace. 100% free to use with local inference. Open Source. MIT. Local first. Try it:

OpenSoftware

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Run your coding agent on a local model, with QVAC. OpenCode now plugs into a model on your own machine through our official plugin. That changes two things. Privacy by default. Your repo, your prompts, and every command the agent runs stay on your device. No third-party model ever sees your code. For an agent that reads your codebase and runs commands, that is the point, not a nice-to-have. New workflows. With no meter and no rate limit, the agent does not have to stop. Let it loop on a task, refactor a whole repo overnight, or run a watch-build-fix loop that keeps going. Setup takes a few minutes: one line in opencode.json and OpenCode runs on a local QVAC model. In the video demo, it handles three real developer tasks back to back, fully offline.
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Run your coding agent on a local model, with QVAC. OpenCode now plugs into a model on your own machine through our official plugin. That changes two things. Privacy by default. Your repo, your prompts, and every command the agent runs stay on your device. No third-party model ever sees your code. For an agent that reads your codebase and runs commands, that is the point, not a nice-to-have. New workflows. With no meter and no rate limit, the agent does not have to stop. Let it loop on a task, refactor a whole repo overnight, or run a watch-build-fix loop that keeps going. Setup takes a few minutes: one line in opencode.json and OpenCode runs on a local QVAC model. In the video demo, it handles three real developer tasks back to back, fully offline.

QVAC

11,382,936 просмотров • 2 месяцев назад

ComfyUI Tutorial for Beginners: Full Node Graph Basics It's a production-grade generation backend with an adaptable front end and Module 1 is where the node graph stops being intimidating. We boot up Comfy Cloud, tour the full UI, and build your first workflow from the ground up. What you'll learn: → Comfy Cloud vs. Desktop - which to use and when → Navigating the graph: pan, zoom, frame, select → The 5 core nodes behind every text-to-image workflow → Checkpoints, LoRAs, VAEs, CLIP - matching model versions → Get/Set nodes + reroutes to kill the spaghetti → Subgraphs: complex workflows collapsed into one node → App Mode: a front end for non-technical collaborators → Templates vs. Blueprints vs. Workflows → The 7 node categories that make the whole library click No installs. No missing models. Open it and generate.
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ComfyUI Tutorial for Beginners: Full Node Graph Basics It's a production-grade generation backend with an adaptable front end and Module 1 is where the node graph stops being intimidating. We boot up Comfy Cloud, tour the full UI, and build your first workflow from the ground up. What you'll learn: → Comfy Cloud vs. Desktop - which to use and when → Navigating the graph: pan, zoom, frame, select → The 5 core nodes behind every text-to-image workflow → Checkpoints, LoRAs, VAEs, CLIP - matching model versions → Get/Set nodes + reroutes to kill the spaghetti → Subgraphs: complex workflows collapsed into one node → App Mode: a front end for non-technical collaborators → Templates vs. Blueprints vs. Workflows → The 7 node categories that make the whole library click No installs. No missing models. Open it and generate.

ComfyUI

14,244 просмотров • 17 дней назад

Ad Studio is now inside Imagine MCP. Ad Studio lets your ads get seen, get watched, and become memorable. Putting it inside Imagine MCP takes another layer of friction out of the process. Open your MCP client of choice, Claude for instance, and just talk to it. Tell it about your product, describe the ad you have in your head, and it handles the build from there.
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Ad Studio is now inside Imagine MCP. Ad Studio lets your ads get seen, get watched, and become memorable. Putting it inside Imagine MCP takes another layer of friction out of the process. Open your MCP client of choice, Claude for instance, and just talk to it. Tell it about your product, describe the ad you have in your head, and it handles the build from there.

ImagineArt

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We made an MCP for your phone. Your laptop is just half of your life, and the other half is in your phone. Now your agent gets the mobile screen too. No connectors, no complex setup, it has access to everything that lives on your phone, all the logged-in apps, your notes, your calls, you name it. It sees the screen, taps it, types on it, from Claude Code, Codex, or any MCP client. Live now at $20 in credits, $20 more for the first 100 who connect a phone and run a task. Comment "discord" if you want the invite to the builder Discord, I'll DM it to you.
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We made an MCP for your phone. Your laptop is just half of your life, and the other half is in your phone. Now your agent gets the mobile screen too. No connectors, no complex setup, it has access to everything that lives on your phone, all the logged-in apps, your notes, your calls, you name it. It sees the screen, taps it, types on it, from Claude Code, Codex, or any MCP client. Live now at $20 in credits, $20 more for the first 100 who connect a phone and run a task. Comment "discord" if you want the invite to the builder Discord, I'll DM it to you.

Div Garg

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How to connect Agent Wallet to your AI agent. → MCP: add our MCP server to Claude, sign in with District Pass. → CLI: install the fdx CLI, sign up or log in via email OTP, run in Claude Code. Now your AI agent doesn't just talk. It pays, swaps, and earns. Get Started →
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How to connect Agent Wallet to your AI agent. → MCP: add our MCP server to Claude, sign in with District Pass. → CLI: install the fdx CLI, sign up or log in via email OTP, run in Claude Code. Now your AI agent doesn't just talk. It pays, swaps, and earns. Get Started →

Finance District

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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 просмотров • 10 месяцев назад

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

187,518 просмотров • 3 месяцев назад

Introducing the OpenRouter MCP, live model intelligence right inside your agent Your agent builds and ships, but when it comes to choosing the right model for the right job, it guesses from 6 month old training data Watch it pick, price, and test the right model:
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Introducing the OpenRouter MCP, live model intelligence right inside your agent Your agent builds and ships, but when it comes to choosing the right model for the right job, it guesses from 6 month old training data Watch it pick, price, and test the right model:

OpenRouter

264,457 просмотров • 2 месяцев назад

Bring your Favourite models to Comfy Cloud ☁️ Now you can import models from Civitai or Hugging Face with a single paste of the link. No more manual downloads or file management. We will handle the rest! Try it out in Comfy Cloud today!
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Bring your Favourite models to Comfy Cloud ☁️ Now you can import models from Civitai or Hugging Face with a single paste of the link. No more manual downloads or file management. We will handle the rest! Try it out in Comfy Cloud today!

ComfyUI

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Imagine MCP 🤝 Cursor Yes, you. Stop alt-tabbing. ImagineArt is in Cursor now, MCP integration. Your agent does the visuals. Nano Banana Pro, Seedance 2.0, all of it.
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Imagine MCP 🤝 Cursor Yes, you. Stop alt-tabbing. ImagineArt is in Cursor now, MCP integration. Your agent does the visuals. Nano Banana Pro, Seedance 2.0, all of it.

ImagineArt

1,106,984 просмотров • 2 месяцев назад

Google just quietly dropped something big for agent builders It's called SAM: Sovereign Agent Mesh A peer-to-peer network where AI agents auto-discover each other, authenticate every packet and call tools across the mesh without a central server Think of it like BitTorrent, but for your agents Right now every agent stack you build is a walled garden. Claude Code talks to its MCPs. Codex talks to its MCPs. If you want agents running on your laptop, your VPS, and your Mac Studio to share tools with each other, you're duct-taping SSH tunnels and REST endpoints together like it's 2015 SAM makes that whole layer disappear You run a sam-node on each machine and the nodes find each other automatically. Every connection is cryptographically identified, so your agents plug in and start calling tools across the whole network The identity is portable too. Same node, same keys, whether it's on GCP, your laptop, or a Raspberry Pi in your closet If you're serious about running agents across multiple devices, get on the testnet this weekend: 1. Install sam-node (binary or Docker) 2. Point it at 3. Connect Claude or Gemini to your local MCP endpoint 4. Watch your agent discover tools running on other people's nodes Still early. Not officially supported by Google. This is where the agent stack is heading. Get on it early Repo:
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Google just quietly dropped something big for agent builders It's called SAM: Sovereign Agent Mesh A peer-to-peer network where AI agents auto-discover each other, authenticate every packet and call tools across the mesh without a central server Think of it like BitTorrent, but for your agents Right now every agent stack you build is a walled garden. Claude Code talks to its MCPs. Codex talks to its MCPs. If you want agents running on your laptop, your VPS, and your Mac Studio to share tools with each other, you're duct-taping SSH tunnels and REST endpoints together like it's 2015 SAM makes that whole layer disappear You run a sam-node on each machine and the nodes find each other automatically. Every connection is cryptographically identified, so your agents plug in and start calling tools across the whole network The identity is portable too. Same node, same keys, whether it's on GCP, your laptop, or a Raspberry Pi in your closet If you're serious about running agents across multiple devices, get on the testnet this weekend: 1. Install sam-node (binary or Docker) 2. Point it at 3. Connect Claude or Gemini to your local MCP endpoint 4. Watch your agent discover tools running on other people's nodes Still early. Not officially supported by Google. This is where the agent stack is heading. Get on it early Repo:

Hasan Toor

41,990 просмотров • 8 дней назад

MiniMax H3 is open weights and native in ComfyUI. MiniMax (official) H3 has text, images, video, and audio in one model, video and stereo audio out in a single pass, running locally or on Comfy Cloud. To try this workflow, link below 👇
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MiniMax H3 is open weights and native in ComfyUI. MiniMax (official) H3 has text, images, video, and audio in one model, video and stereo audio out in a single pass, running locally or on Comfy Cloud. To try this workflow, link below 👇

ComfyUI

12,740 просмотров • 23 дней назад

Smart AI assistant for your ComfyUI workflow! Introducing ComfyUI-Copilot V2 - a powerful custom node by Pixelle AI that allows you to talk to your workflows! 🔹 Create and edit custom workflows from your descriptions 🔹 Smart debugging: detect and fix workflow errors 🔹 Custom node and model recommendation + explanation 🔹 Enhanced AI agent: provide advice based on your local ComfyUI setup Perfect for users who want to automate their workflow creation and management!
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Smart AI assistant for your ComfyUI workflow! Introducing ComfyUI-Copilot V2 - a powerful custom node by Pixelle AI that allows you to talk to your workflows! 🔹 Create and edit custom workflows from your descriptions 🔹 Smart debugging: detect and fix workflow errors 🔹 Custom node and model recommendation + explanation 🔹 Enhanced AI agent: provide advice based on your local ComfyUI setup Perfect for users who want to automate their workflow creation and management!

ComfyUI

26,259 просмотров • 1 год назад

The terminal hasn’t changed much since the 1970s. What you do with it has. Introducing Devin for Terminal: everything we learned building Devin, now as a local agent, available right in your shell. And when your work outgrows your laptop, hand it off to the cloud.
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The terminal hasn’t changed much since the 1970s. What you do with it has. Introducing Devin for Terminal: everything we learned building Devin, now as a local agent, available right in your shell. And when your work outgrows your laptop, hand it off to the cloud.

Cognition

392,205 просмотров • 4 месяцев назад

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.
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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 просмотров • 1 год назад