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GMI MCP is HERE! Create directly from Claude, ChatGPT, Cursor, Hermes Agent, and more, with access to 150+ multimodal models through GMI. Seedance 2.5, GPT Image 2.5, Gemini Omni 1.1 Flash, and more, now available to your agents. Connect now 👇

116,938 просмотров • 2 дней назад •via X (Twitter)

Комментарии: 42

Фото профиля Jaydeep
Jaydeep2 дней назад

MCP server help unlock the full potential of any solution, rich model catalog coupled with the MCP server is a huge step 👏

Фото профиля Tech Fusionist | Kushal Gangil
Tech Fusionist | Kushal Gangil2 дней назад

150+ multimodal models inside the agent is actually huge…👍

Фото профиля Nandkishor
Nandkishor2 дней назад

Thanks for making integration so simple so I can focus on building the things without thinking about integration

Фото профиля Priyansh
Priyansh2 дней назад

150+ models is a lot of options to work with.

Фото профиля Aaliya
Aaliya2 дней назад

150+ models is a lot of options to work with.

Фото профиля Tom
Tom2 дней назад

Seedance and GPT Image through an MCP connection is a pretty interesting combination. Curious to see what people build with this.

Фото профиля Sanskriti Naruka
Sanskriti Naruka2 дней назад

GMI MCP just turned Claude, ChatGPT, and Cursor into full multimodal agent powerhouses with 150+ models at your fingertips.

Фото профиля Ritika Agrawal
Ritika Agrawal2 дней назад

Haha this is so cute and creative!

Фото профиля GMI Cloud
GMI Cloud2 дней назад

thanks, dino is our mascot, glad you like it

Фото профиля Dipanshu Kushwaha
Dipanshu Kushwaha2 дней назад

150+ multimodal models through one connection is impressive. 🔥

Фото профиля Aditi
Aditi2 дней назад

Lemme give it a try

Фото профиля Shruti Codes
Shruti Codes2 дней назад

One MCP layer connecting 150+ multimodal models is a massive unlock for agent builders. 🔥

Фото профиля GMI Cloud
GMI Cloud2 дней назад

thanks

Фото профиля Kiran Bharambe
Kiran Bharambe2 дней назад

The interesting part here is not just the number of models, but giving agents access to them directly.

Фото профиля Kshitij Mishra | AI & Tech
Kshitij Mishra | AI & Tech2 дней назад

150+ models behind one MCP layer is exactly how AI agents become truly powerful. 🔥

Фото профиля Hussain Hashim | Building SundayBack
Hussain Hashim | Building SundayBack2 дней назад

@gmi_cloud This opens up so many possibilities for integrating different AI models smoothly. Can't wait to try it out!

Фото профиля Liam | AI Tools & News
Liam | AI Tools & News2 дней назад

This could make testing different models way less annoying.

Фото профиля GMI Cloud
GMI Cloud2 дней назад

absolutely!

Фото профиля Rohit
Rohit2 дней назад

Seedance + GPT Image + Gemini in one workflow is interesting.

Фото профиля GMI Cloud
GMI Cloud2 дней назад

❤️‍🔥

Фото профиля Adarsh Chetan
Adarsh Chetan2 дней назад

This is a huge step toward making AI agents truly multimodal and capable. 🚀

Фото профиля GMI Cloud
GMI Cloud2 дней назад

thanks

Фото профиля Akshay Dawra
Akshay Dawra2 дней назад

This is a big one !! Over 150 multimodal models are now available right inside your favorite AI agents.

Фото профиля GMI Cloud
GMI Cloud2 дней назад

🔥

Фото профиля Aaliya
Aaliya2 дней назад

creativity got its wings

Фото профиля Anish Jaitwar
Anish Jaitwar2 дней назад

Big move for AI agents! 🚀🔥

Фото профиля Roan Weigert
Roan Weigert2 дней назад

I have been waiting for this MCP for a while 😎

Фото профиля GMI Cloud
GMI Cloud2 дней назад

now you get what you want

Фото профиля catman
catman2 дней назад

150+ multimodal models sounds powerful, but how does Claude choose between them without wasting requests on guesswork?

Фото профиля GMI Cloud
GMI Cloud2 дней назад

you can just tell claude which model you want, or ask it to recommend

Фото профиля Axiom 🔬
Axiom 🔬2 дней назад

Useful MCP surface is less about all models and more about boring routing metadata: modalities, latency class, cost hint, failure shape, and auth scope. Agents need that before they can choose a model without a human reading docs.

Фото профиля Rowan
Rowan2 дней назад

Lol the dino in the vending machine 😂 150+ models from one MCP is wild. Connecting rn 🚀

Фото профиля GMI Cloud
GMI Cloud2 дней назад

dino: the cutest mascot ever

Фото профиля Haider Anis
Haider Anis2 дней назад

This could make model selection much less painful for developers. One connection and the agent gets access to a much broader toolbox.

Фото профиля AI_Explorer
AI_Explorer2 дней назад

150+ models is great, but being able to use them without leaving your workflow is the real win.

Фото профиля Khusboo Tayal
Khusboo Tayal2 дней назад

This is huge 🔥 150+ multimodal models directly inside your favorite AI agents.

Фото профиля GMI Cloud
GMI Cloud2 дней назад

will add more!

Фото профиля Tonye💡
Tonye💡2 дней назад

Access is the easy half. Each of those engines takes different reference and duration limits, and one wrong number quietly drops an engine out of your fallback chain with no error to explain it.

Фото профиля Prem
Prem2 дней назад

This is a huge step for AI workflows. 150+ multimodal models directly accessible to agents is a game changer.

Фото профиля COMMON AI
COMMON AI2 дней назад

This is a huge step toward making AI agents truly multimodal and capable.

Фото профиля Mohit Mishra
Mohit Mishra2 дней назад

This is where AI workflows are heading less time managing tools and more time actually getting things done. Having multiple models available in one workflow makes choosing the right model much easier.

Фото профиля Prolific VA
Prolific VA2 дней назад

This is great; we just did a thread on how Claude Fable 5.1 handles your online visibility. I hope you find this useful.

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