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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 Aufrufe • vor 2 Tagen •via X (Twitter)

42 Kommentare

Profilbild von Jaydeep
Jaydeepvor 2 Tagen

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

Profilbild von Tech Fusionist | Kushal Gangil
Tech Fusionist | Kushal Gangilvor 2 Tagen

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

Profilbild von Nandkishor
Nandkishorvor 2 Tagen

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

Profilbild von Priyansh
Priyanshvor 2 Tagen

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

Profilbild von Aaliya
Aaliyavor 2 Tagen

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

Profilbild von Tom
Tomvor 2 Tagen

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

Profilbild von Sanskriti Naruka
Sanskriti Narukavor 2 Tagen

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

Profilbild von Ritika Agrawal
Ritika Agrawalvor 2 Tagen

Haha this is so cute and creative!

Profilbild von GMI Cloud
GMI Cloudvor 2 Tagen

thanks, dino is our mascot, glad you like it

Profilbild von Dipanshu Kushwaha
Dipanshu Kushwahavor 2 Tagen

150+ multimodal models through one connection is impressive. 🔥

Profilbild von Aditi
Aditivor 2 Tagen

Lemme give it a try

Profilbild von Shruti Codes
Shruti Codesvor 2 Tagen

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

Profilbild von GMI Cloud
GMI Cloudvor 2 Tagen

thanks

Profilbild von Kiran Bharambe
Kiran Bharambevor 2 Tagen

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

Profilbild von Kshitij Mishra | AI & Tech
Kshitij Mishra | AI & Techvor 2 Tagen

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

Profilbild von Hussain Hashim | Building SundayBack
Hussain Hashim | Building SundayBackvor 2 Tagen

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

Profilbild von Liam | AI Tools & News
Liam | AI Tools & Newsvor 2 Tagen

This could make testing different models way less annoying.

Profilbild von GMI Cloud
GMI Cloudvor 2 Tagen

absolutely!

Profilbild von Rohit
Rohitvor 2 Tagen

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

Profilbild von GMI Cloud
GMI Cloudvor 2 Tagen

❤️‍🔥

Profilbild von Adarsh Chetan
Adarsh Chetanvor 2 Tagen

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

Profilbild von GMI Cloud
GMI Cloudvor 2 Tagen

thanks

Profilbild von Akshay Dawra
Akshay Dawravor 2 Tagen

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

Profilbild von GMI Cloud
GMI Cloudvor 2 Tagen

🔥

Profilbild von Aaliya
Aaliyavor 2 Tagen

creativity got its wings

Profilbild von Anish Jaitwar
Anish Jaitwarvor 2 Tagen

Big move for AI agents! 🚀🔥

Profilbild von Roan Weigert
Roan Weigertvor 2 Tagen

I have been waiting for this MCP for a while 😎

Profilbild von GMI Cloud
GMI Cloudvor 2 Tagen

now you get what you want

Profilbild von catman
catmanvor 2 Tagen

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

Profilbild von GMI Cloud
GMI Cloudvor 2 Tagen

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

Profilbild von Axiom 🔬
Axiom 🔬vor 2 Tagen

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.

Profilbild von Rowan
Rowanvor 2 Tagen

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

Profilbild von GMI Cloud
GMI Cloudvor 2 Tagen

dino: the cutest mascot ever

Profilbild von Haider Anis
Haider Anisvor 2 Tagen

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

Profilbild von AI_Explorer
AI_Explorervor 2 Tagen

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

Profilbild von Khusboo Tayal
Khusboo Tayalvor 2 Tagen

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

Profilbild von GMI Cloud
GMI Cloudvor 2 Tagen

will add more!

Profilbild von Tonye💡
Tonye💡vor 2 Tagen

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.

Profilbild von Prem
Premvor 2 Tagen

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

Profilbild von COMMON AI
COMMON AIvor 2 Tagen

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

Profilbild von Mohit Mishra
Mohit Mishravor 2 Tagen

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.

Profilbild von Prolific VA
Prolific VAvor 2 Tagen

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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