Trunk AI (@trunk_ai) 's Twitter Profile
Trunk AI

@trunk_ai

Accelerating MCPs through Smart Batching and Unified Delivery

3UNfBvswmhz6WXV7pFvzwnvK3s2i68EXpNpuM2eWpump

t.me/Trunk_AI

ID: 1916851998697062400

linkhttps://trunk.com/ calendar_today28-04-2025 13:48:40

20 Tweet

756 Followers

4 Following

Trunk AI (@trunk_ai) 's Twitter Profile Photo

$TRUNK is a Solana-native batching protocol optimizing MCP (Model Context Protocol) calls at machine speed. -Batch Engine: Aggregates thousands of MCP requests dynamically, minimizing per-request costs with SLA-bounded latency. -Sequencer Network: Coordinates batching, Bundlr

$TRUNK is a Solana-native batching protocol optimizing MCP (Model Context Protocol) calls at machine speed.

-Batch Engine: Aggregates thousands of MCP requests dynamically, minimizing per-request costs with SLA-bounded latency.

-Sequencer Network: Coordinates batching, Bundlr
Trunk AI (@trunk_ai) 's Twitter Profile Photo

Most chains make you pay for every single request. One fetch. One fee. One confirmation. Again. And again. And again. Trunk flips the economics. It waits. It batches. It optimizes. You pay once for thousands of calls. → 90% lower cost per call → 1000s of sub-kilobyte MCPs

Most chains make you pay for every single request.

One fetch. One fee. One confirmation. Again. And again. And again.

Trunk flips the economics.
It waits. It batches. It optimizes.
You pay once for thousands of calls.

→ 90% lower cost per call
→ 1000s of sub-kilobyte MCPs
Trunk AI (@trunk_ai) 's Twitter Profile Photo

Most protocols push transactions. Trunk orchestrates them in 4 stages. [1] Contextual requests (MCPs) arrive → [2] Trunk scores sources by quality + latency → [3] Dynamically schedules batches for max efficiency → [4] Commits verifiable state on Solana. This isn't just

Most protocols push transactions.

Trunk orchestrates them in 4 stages.

[1] Contextual requests (MCPs) arrive →
[2] Trunk scores sources by quality + latency →
[3] Dynamically schedules batches for max efficiency →
[4] Commits verifiable state on Solana.

This isn't just
Trunk AI (@trunk_ai) 's Twitter Profile Photo

Most chains just push transactions. Trunk batches context for AI. → Agents fire off MCPs → Trunk estimates load + optimizes batch timing → Scores public data sources for quality → Commits it all to Solana with verifiable proofs Faster agents, lower fees and no glue code.

Most chains just push transactions.

Trunk batches context for AI.

→ Agents fire off MCPs
→ Trunk estimates load + optimizes batch timing
→ Scores public data sources for quality
→ Commits it all to Solana with verifiable proofs

Faster agents, lower fees and no glue code.
Trunk AI (@trunk_ai) 's Twitter Profile Photo

Agents don’t speak the same language, Trunk fixes that. It batches MCP calls into a shared protocol that every agent can read, verify, and respond to. 📡 Inter-agent comms 🧾 Standardized logs 🔐 Verifiable execution $TRUNK is the layer where autonomous systems converge.

Agents don’t speak the same language, Trunk fixes that.

It batches MCP calls into a shared protocol that every agent can read, verify, and respond to.

📡 Inter-agent comms
🧾 Standardized logs
🔐 Verifiable execution

$TRUNK is the layer where autonomous systems converge.
Trunk AI (@trunk_ai) 's Twitter Profile Photo

Still installing a new plugin every time your agent needs a new skill? What if it could just ask for a new tool? Trunk connects agents to a live, evolving network of solvers - no setup required.

Still installing a new plugin every time your agent needs a new skill?

What if it could just ask for a new tool?

Trunk connects agents to a live, evolving network of solvers - no setup required.
Trunk AI (@trunk_ai) 's Twitter Profile Photo

AI agents shouldn't need a PhD to run a simple task. Trunk bundles MCP calls into a single, efficient request. Lowering costs and speeding up responses. One call in, one response out.

Trunk AI (@trunk_ai) 's Twitter Profile Photo

In Trunk, client-side execution keeps sensitive data local and internal routing spreads tasks across a decentralized solver network for trustless validation. The result: privacy preserved, minimal trust required and resilience boosted. ⏳ $TRUNK...

In Trunk, client-side execution keeps sensitive data local and internal routing spreads tasks across a decentralized solver network for trustless validation. 

The result: privacy preserved, minimal trust required and resilience boosted.

⏳ $TRUNK...
Trunk AI (@trunk_ai) 's Twitter Profile Photo

Update your Claude desktop config to include Trunk. All our demo tools completely free, with more dropping soon. 🔗 docs.trunk.com/quickstart Get started with Trunk!

Update your Claude desktop config to include Trunk.

All our demo tools completely free, with more dropping soon.

  🔗 docs.trunk.com/quickstart

Get started with Trunk!
Trunk AI (@trunk_ai) 's Twitter Profile Photo

Big news — we’re officially partnering with Aethir to power all our backend infrastructure. $TRUNK is built for agent autonomy at scale — and that demands compute that doesn’t buckle, lag, or centralize. That’s why we chose Aethir.

Big news — we’re officially partnering with <a href="/AethirCloud/">Aethir</a> to power all our backend infrastructure.

$TRUNK is built for agent autonomy at scale — and that demands compute that doesn’t buckle, lag, or centralize.

That’s why we chose Aethir.
Trunk AI (@trunk_ai) 's Twitter Profile Photo

This is a fast, hands-on demo showing how Trunk simplifies MCPs You’ll learn: - How to install Trunk - How to run it locally - How to send and receive requests Install and run here: npmjs.com/package/@trunk…