Trunk AI

Accelerating MCPs through Smart Batching and Unified Delivery

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[Trunk AI @Trunk_AI]

$TRUNK is Live on Solana

3UNfBvswmhz6WXV7pFvzwnvK3s2i68EXpNpuM2eWpump

• MCP requests are batched, verified, and committed on-chain
• All testnet calls are free: no keys, no fees
• Participation may influence future airdrop eligibility 🪂

🌐 https://t.co/ZiQkZA7KCT
🗣️ https://t.co/OITgdBpAOb

🧭 https://t.co/rguV7RZL8F

Rooted in Privacy, Proven on-chain & Built to Grow.

[Trunk AI @Trunk_AI]

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: https://t.co/ELyKyv7lS8

[Trunk AI @Trunk_AI]

Big news — we’re officially partnering with @AethirCloud 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]

Update your Claude desktop config to include Trunk.

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

🔗 https://t.co/Hamp7efx11

Get started with Trunk!

[Trunk AI @Trunk_AI]

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]

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]

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]

Any $TRUNK tokens launched without being announced from this account are fake.

[Trunk AI @Trunk_AI]

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]

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]

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 throughput. It's intelligence at the protocol layer.

[Trunk AI @Trunk_AI]

Without TRUNK: plugins, ops, glue code.

With TRUNK: One SDK, one call.

Same destination.

[Trunk AI @Trunk_AI]

Agents shouldn’t wait.
Neither should you.
Batch 1000s of MCPs in milliseconds.

[Trunk AI @Trunk_AI]

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 per second
→ Same security guarantees, finality, and audit trail

Call less. Think more. Batch with Trunk.

[Trunk AI @Trunk_AI]

[5/5] Result

Less scaffolding, more intelligence. Pack your Trunk and ship faster. 🌲⚡️

[Trunk AI @Trunk_AI]

[1/5] Context chaos → single lane

Every new AI agent skill used to mean yet another plugin, API key, glue script & cache. Trunk
hides all that behind one model-context protocol—no installs, no schema wrangling.

[Trunk AI @Trunk_AI]

[4/5] What devs feel

→ Swap dozens of plugins for a ~kb SDK
→ Fire a single async call like get_price("SOL") or add_event("Dentist", Tue 15:00)
→ Get a JSON reply—no extra code, no rate-limit headaches

[Trunk AI @Trunk_AI]

$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 uploads, and anchors batch commitments on Solana for decentralized verification.

-Optimization Module: Adapts batching windows Δ* in real time via arrival rate estimation λ(t)

-Data Availability: All batches permanently stored via @irys_xyz → @ArweaveEco.

- $TRUNK: Powers staking, batch payments, and protocol governance with burn-driven deflation.

Δ*-Optimal batching + Solana’s parallelism = low-cost, sub-second confirmation for decentralized cognition at scale.