Supported chains and tokens — agentra MCP Resource

Supported chains and tokens is one of 3 resources on the agentra MCP server. Connect the server and your client can attach it as context.

by client

How to attach Supported chains and tokens from your client

• Claude Code agentra Resource/Supported chains and tokens run in your project directory
• Claude Desktop agentra Resource/Supported chains and tokens ~/Library/Application Support/Claude/claude_desktop_config.json
• Cursor agentra Resource/Supported chains and tokens ~/.cursor/mcp.json
• VS Code agentra Resource/Supported chains and tokens .vscode/mcp.json
• Zed agentra Resource/Supported chains and tokens ~/.config/zed/settings.json
• Windsurf agentra Resource/Supported chains and tokens ~/.codeium/windsurf/mcp_config.json
• Cline agentra Resource/Supported chains and tokens ~/Library/Application Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json
• Gemini CLI agentra Resource/Supported chains and tokens ~/.gemini/settings.json
• Grok agentra Resource/Supported chains and tokens .mcp.json (in your project root)
• ChatGPT agentra Resource/Supported chains and tokens Settings → Connectors → Advanced → Developer mode
• Claude.ai agentra Resource/Supported chains and tokens Settings → Connectors → Add custom connector
• LangChain agentra Resource/Supported chains and tokens pip install langchain-mcp-adapters

Other resources on this server

• Trust tier reference
• Pricing and fee schedule

agentra also offers 2 prompts — things you invoke, where a resource is context you attach.

Read from the server itself, by connecting to it and calling resources/list on 24 September 2026. A listing does not declare its resources, so asking is the only way to know them, and this is what the server actually offers rather than what its listing claims. Names only are stored; connect the server for each resource's type and contents.