About
A TypeScript‑based Model Context Protocol server that lets AI agents query, transfer, and manage assets across multiple blockchain networks, enabling seamless multi‑chain smart contract interactions.
Capabilities

Overview
The Multichain MCP Server is a specialized Model Context Protocol implementation that bridges AI assistants with the blockchain ecosystem. It solves the problem of fragmented, network‑specific tooling by providing a single, unified API for interacting with multiple blockchains. Developers can query wallet balances, transfer assets, deploy smart contracts, and bridge tokens across chains—all through a consistent MCP interface that Claude or any other AI client can consume. This eliminates the need for custom adapters and reduces integration friction when building Web3‑enabled AI agents.
Core Value Proposition
For developers, the server acts as an abstraction layer that translates high‑level AI requests into concrete blockchain operations. By exposing standard MCP resources such as “wallet,” “token,” and “contract” objects, it lets AI assistants request actions like “send 10 ORAI to address X” or “deploy a new liquidity pool.” The server’s ability to handle multi‑chain RPCs and perform cross‑chain bridging means that an AI agent can operate seamlessly across Ethereum, Cosmos, and Oraichain networks without the client needing to manage RPC URLs or chain‑specific SDKs.
Key Features and Capabilities
- Multi‑chain support: Connect to any network that provides an RPC endpoint, with built‑in defaults for Oraichain and optional custom URLs.
- Wallet management: Retrieve addresses, query balances, and sign transactions on behalf of the user.
- Token operations: Transfer ERC‑20 / CW‑20 tokens, approve allowances, and monitor token events.
- Smart contract deployment: Compile, deploy, and interact with contracts using a single MCP call.
- Cross‑chain bridging: Move assets between supported networks through integrated bridge tools.
- Secure transaction handling: All operations are signed using locally stored private keys, ensuring that the server never exposes secrets to external clients.
Real‑World Use Cases
- Decentralized AI Marketplaces: Agents can list, buy, and sell AI services using native tokens or stablecoins across multiple chains.
- DeFi Automation: An AI assistant can monitor market conditions and execute trades, liquidity provision, or yield‑harvesting strategies on Ethereum or Cosmos.
- Oracle Services: Agents can fetch on‑chain data, verify proofs, and submit oracle updates to smart contracts.
- Cross‑Chain Asset Management: Users can move funds between chains for arbitrage or to take advantage of network‑specific incentives.
Integration with AI Workflows
The MCP server plugs directly into Claude’s desktop or web clients via the standard MCP protocol. Developers expose specific resources (e.g., a “wallet” resource) and define tool prompts that map to blockchain actions. When an AI assistant receives a user query, it calls the appropriate MCP endpoint, and the server executes the underlying blockchain transaction. Because the server handles serialization, signing, and error reporting, AI agents can focus on intent understanding while delegating execution to a trusted backend.
Unique Advantages
- Monorepo Architecture: The server, agent tools, and development kit live in a single repository, simplifying versioning and dependency management.
- TypeScript Base: Strong typing ensures that developers receive compile‑time guarantees about resource shapes and tool signatures.
- Extensible Toolkit: New blockchains or DeFi protocols can be added by extending the agent tools package, then exposing them via MCP without modifying the core server logic.
- Community‑Driven: Backed by Oraichain Labs, the project benefits from active contributions and real‑world Web3 expertise.
In summary, Multichain MCP Server equips AI assistants with robust, cross‑chain blockchain capabilities, enabling developers to build sophisticated Web3 agents that can interact securely and efficiently with the decentralized economy.
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