We are releasing Ultramarine 1 Flash, a frontier-class model built for knowledge work. It is open-source and achieves similar performance to Fable 5, while being 60x cheaper.
It was post-trained by a team of 5 for ~$300k all-in. Available on API now, with weights releasing in 2 weeks.
https://t.co/f9u1pQc8ZP Ships The First Unified MCP Server
Why This Is Different
Most existing MCP servers only expose a set of tools from a specific App.
And if you want to utilize tools from multiple apps (Gmail, Github etc) you’d need to integrate with multiple MCP servers.
Our Unified MCP Server elegantly solves this with a "discover and execute" pattern:
1️⃣ It exposes just TWO meta functions (tools) to your MCP Client
- ACI_SEARCH
- ACI_EXECUTE
2️⃣ The Client uses the ACI_SEARCH to dynamically discover relevant tools based on user intent
3️⃣ Then executes the suitable tools with the ACI_EXECUTE function
Benefits That Make a Difference:
⌚️ Maximum Context Efficiency: Only two tool definitions in your MCP client’s LLM context window, no matter how many tools are available
🔐 Unified Authentication: One authentication scheme to rule them all – no more juggling credentials across multiple MCP server providers
💣 Zero Name Collisions: Eliminate tool naming conflicts when combining tools from different MCP Servers
🔎 Intelligent Tool Discovery: The server automatically finds the perfect tools for each specific task
♾ Unlimited Tool Access: Your LLM can use ANY tools from the https://t.co/f9u1pQc8ZP platform.
We've also released an Apps MCP Server as an alternative for those who prefer direct access to narrow set of tools from limited apps. Our MCP servers are open-sourced at https://t.co/wACi2WAc6u. We welcome contributions, feedback, feature, and integration requests. Try it out now at https://t.co/f9u1pQc8ZP, sign-up code in comments. Follow us on X: https://t.co/RhOojvCmyb
See It In Action
Check out the demo video below showing the Unified MCP Server working seamlessly with Cursor.
Docs Here
https://t.co/yfj6zdqeWG
#unifiedmcp #mcp #aiagent #agent #llm #aci #agi
3. Iterate faster
When you start doing stuff in small chunks
Its easier to iterate faster because you have more frequent decision points
Which = more chances to realize you're going in the wrong direction
So you can course-correct and keep pushing
2. Do work in the smallest increments
Linked to above
Whether it's your MVP product or a GTM motion
Think of the SMALLEST single task you can do
That drives a DISPROPORTIONATELY HUGE outcome
Then go do it!
Do more, plan less