Sei + Model Context Protocol: Build AI Applications That Perform Onchain
What is Model Context Protocol (MCP)?
Model Context Protocol is Anthropic's open standard that allows AI systems to securely connect to data sources, tools, and services. Think of it as the universal API that lets AI, and AI agents, securely access blockchain data, execute transactions, and coordinate with other systems, all through standardized interfaces like Claude.
AI agents powered with MCP can query blockchain state, meaning they can check token balances, read contract variables, and analyze transaction history. They can also understand what different contracts do by reading their code, and track onchain activities like transfers and trades.
Sei's integration with MCP provides just this – agents on the Sei Network can now access blockchain data, execute transactions, integrate seamlessly with DeFi protocols, and coordinate with other agents directly through the MCP standard, and they can do it at machine speed.
Why AI + Blockchain Integration Has Been Limited
Building AI applications that interact with blockchain today means dealing with integration challenges:
- AI agents need custom code for each blockchain interaction instead of standardized interfaces
- No unified way for agents to verify blockchain data or prove their onchain actions
- Complex multi-step DeFi operations require agents to understand protocol-specific APIs
- Limited tooling for agents to coordinate blockchain transactions with each other
What MCP on Sei Gives You Right Now
Sei's Model Context Protocol integration solves these problems with three key capabilities you can use today:
1. Standardized Blockchain Access for AI Agents
What MCP enables: AI agents can interact with Sei using standard MCP interfaces instead of custom blockchain APIs. Sub-400ms finality means these interactions happen fast enough for real-time applications.
Possible use cases:
- AI agents that can query network state, manage portfolios, and execute transactions through simple MCP calls
- Chatbots that can execute blockchain transactions as naturally as they search the web
- Automated systems that can react to on-chain events without complex integration work
2. Verifiable Agent Actions
What MCP enables: AI agents can cryptographically prove their blockchain interactions and share verified context with other agents. Sei Network’s high throughput makes it practical to publish and verify large amounts of agent activity data, enabling large data workloads previously unsuitable for blockchain integration.
Possible use cases:
- Multi-agent systems where agents can verify each other's work and build on proven results
- Transparent AI services where users can audit exactly what actions agents took
- Agent coordination networks where trust is built through verifiable blockchain history
3. Seamless Multi-Protocol Operations
What MCP enables: AI agents can interact with multiple DeFi protocols through unified MCP interfaces rather than protocol-specific integrations. Parallel execution enables agents to coordinate complex multi-protocol strategies efficiently.
Possible use cases:
- Agents that execute complex cross-protocol trades
- Portfolio management systems that operate across multiple DeFi protocols
How to Set it Up
Setting up Sei’s MCP kit is simple. All you need is a standard installation of Cursor, Windsurf, or Claude, and you can deploy it from right inside the settings of your respective app.
Head to the Sei MCP Kit docs for an easy-to-follow start guide on deploying Sei MCP across each environment.
Real Examples You Can Build Today
Multi-Protocol Chain Analysis: Run onchain analysis across any contract or deployment on the Sei Network.
Universal Portfolio Manager: One agent can manage positions across all of DeFi without protocol-specific code.
ai/accelathon Bounty
The Sei Development Foundation recently announced that it’s hosting an ai-themed hackathon. You can build something cool for the ai/accelathon with Sei MCP Kit and earn up to $10,000 in prizes.
Note: MCP Bounty track is for university students only. Five other ai/accelathon tracks are available for general submissions.
To get started, head over to the ai/accelathon page on DoraHacks and click on “Bounties” to see more info.
For everything else you need on Sei’s MCP kit, make sure to bookmark the Sei docs here: https://docs.sei.io/learn/mcp-server