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AI-Track Web3 Projects: DeFi, Gaming & MCP Tech

AI-Track Web3 Projects: DeFi, Gaming & MCP Tech

Bitaigen Research Bitaigen Research 4 min read

Explore AI-track Web3 projects merging MCP tech with DeFi and gaming. Get analysis, overview, and insights to identify trends and investment potential.

We have organized the latest Web3 projects that combine the AI track with MCP technology in this article, covering sub‑domains such as decentralized finance and gaming. By deeply analyzing technical implementations, ecosystem layouts, and community dynamics, we help readers quickly capture industry trends, understand core innovations, and assess potential value. To stay on top of cutting‑edge developments, we recommend reading on.

What New Projects Are Emerging on the AI Track? An Overview of 8 Major Web3 + MCP Projects

At present, there are eight Web3 projects on the AI track that integrate MCP: DARK, SkyAI, Solix, Open MCP, HighKey, DAMN.FUN, DeMCP, and UnifAI. They span several niche areas, including DeFAI and GameFAI.

1. DARK

DARK is an experimental MCP network built on Solana, operating inside a Trusted Execution Environment (TEE) and having already completed its token issuance. Its first application automatically connects new tools to the AIMCP server under the TEE protocol; the product is still in development, and users can join a waiting list via email. The project’s founder, edgar, is also a co‑founder of mtndao, a DAO focused on Solana‑ecosystem innovation that has organized multiple hackathons.

To boost community activity, DARK is developing DARK Games, a game reminiscent of the 2021 title *Dark Forest*. The first competitive AI Agent inside the game is SPUTNIK. Players interact with SPUTNIK using DARK tokens to obtain clues; SPUTNIK leverages the Dark Forest MCP and Solana MCP to enable on‑chain interactions.

  • Token contract: `8BtoThi2ZoXnF7QQK1Wjmh2JuBw9FjVvhnGMVZ2vpump`
  • Current market cap: roughly $16 million USD

2. SkyAI

SkyAI is built on BNB Chain and aims to use MCP to construct a native‑on‑chain AI infrastructure that offers a scalable, interoperable data protocol. The project has issued its token and plans to simplify Web3 AI development through multi‑chain data access, AI Agent deployment, and protocol‑level utilities, with future integration of cutting‑edge protocols such as Google A2A. No live product has been released yet.

SkyAI is the first presale project on the Four.meme platform. During the presale it raised 83,851 BNB (approximately $50 million USD), exceeding its target by 167 times. The team pledged not to retain any team tokens; 80 % of the supply will be distributed via the public presale, and the remaining 20 % will be allocated to liquidity provision.

  • Token contract: `0x92aa03137385f18539301349dcfc9ebc923ffb10`
  • Current market cap: roughly $40 million USD

3. Solix

Solix is a DePIN network that utilizes MCP to create a more convenient, efficient, and fair internet experience. Users can share idle bandwidth through a browser extension and earn rewards. The network is already active in 63 countries, processing an average of 275 TB of data per day.

On April 14 2025, Solix closed a $29.5 million USD funding round led by the Eclip Foundation. The capital will accelerate research and development of the MODEL CONTEXT PROTOCOL (MCP), enabling intelligent bandwidth sharing without degrading the user’s internet experience.

Note: The project has not issued a token yet; further interactive tutorials can be accessed by clicking to read.

4. Open MCP

Open MCP is an open‑source protocol dedicated to connecting AI Agents to EVM blockchains and Web3 infrastructure. Its core contributor, Holoworld AI, has opened the protocol for use by project teams, creating a standardized interface that facilitates interaction between decentralized technologies and AI systems.

5. HighKey

HighKey is a DeFAI platform that adopts DARP (Decentralized Agency and Resource Protocol) and is compatible with MCP, aiming to build an AI‑powered internet. The platform has deployed an AI Agent capable of fetching data from multiple chains in a single request, delivering professional DeFi analysis. For example, a user can query “arbitrage opportunities between Ethereum Uniswap and BSC PancakeSwap,” and the Agent instantly returns a concrete answer that combines on‑chain data and tool‑derived insights.

  • Token contract: `F7BW1wJsDHrHUkNPcoYkgYcKD1o2DsUooML9kjajpump`
  • Current market cap: about $6.6 million USD

6. DAMN.FUN

DAMN.FUN is an AI‑native gaming framework led by developers Ethan and Jerry. The project is integrating the MCP protocol, the DAMN.FUN SDK, and the Digimon Engine (an AI‑native game engine) to achieve seamless interoperability between the ecosystem, external clients, large language models (LLMs), and AI Agents. Integration work includes building webhooks and new REST API endpoints for external game/agent creation, ownership management, and wallet connections. The game is already live and its token has been issued.

  • Token contract: `WEmjxPMGXEW1Nvc4rCgRKiWHj1H1tvhPsKMw2yvpump`
  • Current market cap: roughly $3 million USD

7. DeMCP

DeMCP is a decentralized MCP network that provides Server‑Sent Events (SSE) proxy services for mainstream LLMs. By leveraging TEE and blockchain technology, it addresses trust and security concerns, and plans to use tokenomics to build a sustainable incentive model that encourages more contributors. The platform is still under development and has not issued a token.

  • Goal: Offer both proprietary and open‑source MCP services for AI Agents, supporting stablecoin payments such as USDT and USDC.

8. UnifAI

UnifAI belongs to the DeFAI space and permits AI Agents to perform on‑chain and off‑chain tasks within the Web3 ecosystem. Its flagship product, UniQ, dramatically reduces the time analysts need to conduct complex on‑chain research and design DeFi strategies, even condensing multi‑step on‑chain operations into a single command. Although the project does not explicitly use the MCP protocol, it markets itself as an MCP solution for Web3 and likens its flagship product to a “Manus” for the sector.

  • Token status: Not yet issued; the first‑season points program is already live.

Conclusion

Overall, most Web3 AI projects that incorporate MCP remain in early development stages, with full‑featured products yet to be widely deployed. Only a few have completed token issuances. As a hot concept in the current AI Agent landscape, MCP still needs to prove whether it can overcome the “narrative‑product mismatch” that plagued the previous wave of AI Agents and truly drive practical adoption.

In the Web3 ecosystem, AI Agents face two major challenges:

  1. Narrative‑product mismatch – many projects over‑promise capabilities during the promotional phase, only to fall short when attempting real‑world implementation.
  2. Token‑product disconnect – token sales often precede product launches, causing token value to become detached from actual usage scenarios.

Investors should focus on a project’s product roadmap and market fit rather than being swayed solely by hype. Only when MCP can securely and reliably enable efficient on‑chain data interaction with external tools will AI Agents have a realistic path toward genuine utility.

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