Agents can sign plugins, rotate credentials without losing identity, and publicly attest to behavior.
日本語の概要は準備中です。原文の説明を表示しています。
Interact with the BNB Chain Model Context Protocol (MCP) server. Use to query DeFi data, get token prices, search documentation, fetch git diffs, and retrieve smart contract source code on BNB Chain.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
This skill allows you to interact with the BNB Chain MCP server to retrieve data about BNB Chain.
The BNB Chain MCP server runs locally. You interact with it using the mcp-client script bundled with this skill.
Run the client script to execute tools:
python3 skills/bnbchain-mcp/scripts/mcp-client.py <tool_name> [arguments]
To list available tools:
python3 skills/bnbchain-mcp/scripts/mcp-client.py list_tools
Currently supported tools in bnbchain-mcp:
args: {"symbol": "BNB"}args: {"protocol": "venus"}args: {"query": "validators"}args: {"repo_name": "bnb-chain/bsc"}args: {"contract_address": "0x..."}The MCP server must be running for this skill to work.
If the server is not running, start it (this is usually handled by the MCP/OpenClaw infrastructure, but good to know):
uv run bnbchain-mcp (requires uv and bnbchain-mcp package installed).
Get the price of BNB:
python3 skills/bnbchain-mcp/scripts/mcp-client.py get_token_price --args '{"symbol": "BNB"}'
Search documentation:
python3 skills/bnbchain-mcp/scripts/mcp-client.py search_documentation --args '{"query": "staking"}'
まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Agents can sign plugins, rotate credentials without losing identity, and publicly attest to behavior.
日本語の概要は準備中です。原文の説明を表示しています。
Query historical crypto market data from 0xArchive across Hyperliquid, Lighter.xyz, and HIP-3. Covers orderbooks, trades, candles, funding rates, open interest, liquidations, and data quality. Use when the user asks about crypto market data, orderbooks, trades, funding rates, or historical prices on Hyperliquid, Lighter.xyz, or HIP-3.
日本語の概要は準備中です。原文の説明を表示しています。
Calculate ROI for AI-as-a-Service (managed AI agents). Estimates cost savings, efficiency gains, and payback period for deploying AI agents across business operations. Use when evaluating whether managed AI agents make financial sense for a company.
日本語の概要は準備中です。原文の説明を表示しています。
Design, build, deploy, and operate production AI agent systems — single agents, multi-agent teams, and autonomous swarms. Complete methodology from agent architecture through orchestration, memory systems, safety guardrails, and operational excellence.
日本語の概要は準備中です。原文の説明を表示しています。
Design, build, test, document, and secure production-grade APIs. Covers the full lifecycle from schema design through deployment, monitoring, and versioning. Use when designing new APIs, reviewing existing ones, generating OpenAPI specs, building test suites, or debugging production issues.
日本語の概要は準備中です。原文の説明を表示しています。
Turn your AI agent into a business automation architect. Design, document, implement, and monitor automated workflows across sales, ops, finance, HR, and support — no n8n or Zapier required.
日本語の概要は準備中です。原文の説明を表示しています。