Post
1809
📢 New Workflow: MCP Server is Live!
As part of our Summer of Workflows series, we are excited to release MCP Server — an MCP ( Model Context Protocol) server that connects directly to your ApertureDB Cloud instance.
This workflow gives your Generative AI models and AI agents live, multimodal memory—enabling real-time access to images, text, video, embeddings, and more.
🔍 Why it matters:
Static context limits what AI agents can do. With MCP + ApertureDB, your LLMs can now query fresh, contextual information as they reason, plan, and act.
✅ What’s included:
A deployable MCP-compliant server - Zero glue code needed
Works out-of-the-box with ApertureDB Cloud
Built-in authentication for secure, production-ready deployment
👉 Try it now: https://cloud.aperturedata.io/signup
We are building the memory layer for Generative AI.
Let us know in the comments what you would build with real-time LLM memory!
Additional Resources: https://shorturl.at/hYH9i
Docs: https://shorturl.at/0RUd1
GitHub Code: https://shorturl.at/DxSad
As part of our Summer of Workflows series, we are excited to release MCP Server — an MCP ( Model Context Protocol) server that connects directly to your ApertureDB Cloud instance.
This workflow gives your Generative AI models and AI agents live, multimodal memory—enabling real-time access to images, text, video, embeddings, and more.
🔍 Why it matters:
Static context limits what AI agents can do. With MCP + ApertureDB, your LLMs can now query fresh, contextual information as they reason, plan, and act.
✅ What’s included:
A deployable MCP-compliant server - Zero glue code needed
Works out-of-the-box with ApertureDB Cloud
Built-in authentication for secure, production-ready deployment
👉 Try it now: https://cloud.aperturedata.io/signup
We are building the memory layer for Generative AI.
Let us know in the comments what you would build with real-time LLM memory!
Additional Resources: https://shorturl.at/hYH9i
Docs: https://shorturl.at/0RUd1
GitHub Code: https://shorturl.at/DxSad