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ZetaChain

The ZetaChain CLI MCP server provides AI assistants with direct access to ZetaChain's universal blockchain development tools through both stdio and HTTP modes via Smithery integration. Built by the ZetaChain DevEx team, it exposes comprehensive functionality for cross-chain development including account management across multiple blockchain types (EVM, Solana, Bitcoin, TON, Sui), querying balances and transaction status, managing protocol contracts and ZRC-20 tokens, executing cross-chain calls and withdrawals, and creating new universal contract projects from example templates. The implementation features automatic command discovery from JSON schema, rate limiting, streaming chat responses for documentation queries, and supports installation in popular AI development environments like Claude Code and Cursor, making it useful for building universal smart contracts, cross-chain DeFi applications, and blockchain interoperability solutions.

Cognium trust score

64%

Tier

Scanned

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-01.

Scan details: Circle-IR · 2026-09-01 · Appeal

View full trust & usage report →

Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: finance
Source: PulseMCP
Repository: github.com/zeta-chain/cli
Author type: human
Last scanned: 2026-09-01
Updated: 2026-09-01

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MCP

Resolve ZetaChain from your agent

Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.

One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.

claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"