Zero1 Labs x Equity Block. We're excited to announce that Equity Block is integrating with Zero1 Labs' AI server infrastructure and Model Context Protocol (MCP). Through this collaboration, Equity Block will leverage Zero1’s AI-native infrastructure to introduce memory-aware

Cypher Testnet has crossed a major threshold: over 42 million transactions processed across all phases. - 3.43 million unique wallets.- 17.08 million blocks confirmed.- 266,000+ transactions per day (avg).- 7.4 million $DEAI transfers. Up next: Phase 4 – Agent Missions.The final

Cypher-MCP Testnet (Phase 4: Agent Missions) is coming soon. A testnet for task-driven AI agents interacting via MCP - with verifiable context, credential minting, and reputation tracking. Built for experimentation across agents, prompts, and coordination logic.

Now on GitHub: MCP Context Badge Claim Module. 👉 A full implementation for minting verifiable ERC-1155 badges tied to AI agent context + eligibility logic. - Checks modelHash, contextCID, and user wallet.- Supports agent-signed or offchain proofs.-

Check out this tweet to grasp its function and significance.

MCP Context Badge is now live 👉 Users can now mint a verifiable ERC-1155 badge linked to their AI interaction - including model hash, context summary, and timestamp. To claim:.👉 Hold or stake at least 1000 $DEAI. What it does:.🏷️ Ties badges to real AI

Coming Soon: MCP Context Badge. What is the MCP Context Badge?. It’s a smart contract that gives you a digital badge for something you did -but instead of it being based on someone’s opinion, it’s tied to actual data from an AI interaction. For example:. - You complete a task

MCP gives agents context they can trust - and users tools they can verify. Everything from a prompt to a proposal can be stored, proven, and reused - across apps, chains, and teams. Try it out:. 👉 👉

Ecosystem + Testnets. - Cypher-MCP Testnet Phase 4 (agent missions).- AI Chat-History NFT testnet.- GPT Agent beta.- Ecosystem hackathon + dev onboarding tools.

Tooling + UX. - MCP Notes plug-in for Notion & Obsidian.- Prompt-as-a-Service Terminal v1.- GraphQL Indexer API for tools, chat logs, and agents.- Wallet UX integrations for previewing prompt + memory state.

Mintable AI Agents. - Draft standard for Agent-as-NFT (model hash + weights URL).- Marketplace testnet sandbox.- Beta launch with 20+ live agents.- Indexed metadata + reproducible deployment support.

Verifiability + Privacy. - Verifiable Context Badge (ERC-1155 + attestation).- zk-integrity layer (Poseidon/Keccak circuits).- Optional field-level FHE via tfhe_wasm.- Wallet-native model diff viewer for secure context comparison.

What’s coming to MCP:. A range of protocol upgrades, standards, and integrations are in development — across verifiability, privacy, UX, and deployment. Here’s what to expect:.

Chat-NFT. - Save any AI conversation as a verifiable onchain record:.- Stored on IPFS.- Context + model hash via MCP.- Minted to your wallet as an ERC-721.- Useful for authorship, decision tracking, or memory reuse. 👉 👉

DAO Explainer API. - A GraphQL-based server that integrates with Tally to expose structured.- DAO governance data:.- Proposals, votes, delegates.- DAO stats + participation.- Wallet-level governance history.

MCP Core SDK v0.1. - Tools to define, register, and interact with MCP-compatible agents:.- Tool, Resource, Prompt APIs.- Chain-agnostic client.- Test CLI.- Pluggable transports (STDIO, HTTP/SSE; gRPC coming). 👉

What’s live now?. MCP already powers several public tools and open-source projects - built for memory, traceability, and agent coordination. Here’s what’s available today:.

MCP is chain-agnostic and model-agnostic. It’s designed to work across:. - EVM-compatible networks.- IPFS for content addressing.- Any AI model interface (e.g. GPT).- TypeScript SDKs (Rust & Python in progress).

MCP introduces a standardized way to:. - Define Tools, Resources, and Prompts.- Persist and reuse session context.- Hash interactions for traceability.- Coordinate agents across chains and environments. It's infrastructure for interoperable, persistent AI.

What is MCP (Model Context Protocol)?. A protocol for building verifiable, memory-aware AI systems. MCP helps agents and apps manage context, connect across chains, and preserve state - securely and transparently. Let’s break it down. 🧵