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Swig supports two complementary AI workflows:
  1. Give AI agents wallet capabilities with the Swig MCP server
  2. Make the docs AI-friendly by exposing the docs themselves as an MCP server

Path 1: AI agents that can use Swig

Use this path when you want an agent to create wallets, manage authorities, configure RPC, or execute transactions.

Path 2: AI apps that need Swig docs as context

Use this path when you want your assistant, IDE, or internal tooling to ingest the Swig docs directly.

Good AI use cases for Swig

  • agent-driven wallet creation and account setup
  • chat-to-action experiences for users
  • role-scoped agent permissions
  • multi-agent workflows with limited authorities
  • AI copilots that answer product questions using your docs

Where to go next

Wallet Agents

Connect AI agents to Swig wallet operations

MCP Server Reference

Review tools, permissions, and deployment details

Docs MCP

Expose the Swig docs themselves to LLM tooling

Products & SDKs

Understand where AI fits across the platform