KosmoKrator

data

Paddle MCP Gateway for AI Agents

Expose Paddle tools to Claude Code, Cursor, Codex, and other MCP clients through the local KosmoKrator MCP gateway.

Paddle MCP Gateway

Expose Paddle to MCP clients with `kosmokrator mcp:serve --integration=paddle`.

If the client has never used KosmoKrator before, install it first, then register this integration as a stdio MCP server.

Install KosmoKrator 
curl -fsSL https://raw.githubusercontent.com/OpenCompanyApp/kosmokrator/main/install.sh | bash
Install gateway entry 
kosmokrator mcp:gateway:install --integration=paddle --write=deny --json
MCP configuration 
{
  "mcpServers": {
    "kosmokrator-paddle": {
      "type": "stdio",
      "command": "kosmo",
      "args": [
        "mcp:serve",
        "--integration=paddle",
        "--write=deny"
      ]
    }
  }
}
Serve manually 
kosmokrator mcp:serve --integration=paddle --write=deny

Client Notes

Use one scoped MCP gateway entry, then adapt the config location to the client or framework.

Claude Code Connect local KosmoKrator integrations to Claude Code through one scoped MCP gateway entry. Claude Code can launch the local kosmo binary directly from the project MCP config.
Cursor Expose selected local integrations to Cursor through KosmoKrator without configuring each service as its own MCP server. Use the same KosmoKrator install and integration credentials that power terminal and headless runs.
Codex Use KosmoKrator as a local MCP proxy for Codex so coding sessions can reach selected integrations with explicit write policy. Keep write access denied or ask-based unless the workspace is trusted.
OpenAI Agents SDK Attach KosmoKrator integration tools to OpenAI Agents SDK workflows through a local MCP gateway. Use headless JSON commands for CI-style execution and MCP for agent tool discovery.
Claude Agent SDK Give Claude Agent SDK workflows access to KosmoKrator integrations through a local MCP server. Use a narrow integration list so the agent does not load unrelated tools.
Vercel AI SDK Use KosmoKrator as a local integration gateway for Vercel AI SDK agents and scripts. Prefer CLI JSON calls when a workflow only needs one deterministic integration operation.
LangChain Bridge LangChain agents to local KosmoKrator integration tools through MCP or headless CLI calls. Keep the gateway scoped to the integration and operation class needed by the chain.
LangGraph Run KosmoKrator integration calls from LangGraph nodes while preserving local credentials and permissions. Headless CLI calls fit repeatable graph edges; MCP fits exploratory agent nodes.
CrewAI Expose KosmoKrator integrations to CrewAI workers as scoped local tools. Use per-worker integration scopes to avoid giving every worker every tool.
Generic MCP Clients Connect any stdio-compatible MCP client to local KosmoKrator integration tools. Start with read-only write policy and expand only for trusted projects.

MCP Tool Names

KosmoKrator exposes integration tools through the gateway with stable names.

MCP toolSource functionType
integration__paddle__paddle_list_transactions paddle.paddle_list_transactions Read read
integration__paddle__paddle_get_transaction paddle.paddle_get_transaction Read read
integration__paddle__paddle_list_customers paddle.paddle_list_customers Read read
integration__paddle__paddle_get_customer paddle.paddle_get_customer Read read
integration__paddle__paddle_create_customer paddle.paddle_create_customer Write write
integration__paddle__paddle_list_products paddle.paddle_list_products Read read
integration__paddle__paddle_get_current_user paddle.paddle_get_current_user Read read

Write Access

Start with --write=deny for read-only MCP clients. Use --write=ask or --write=allow only when the client and workspace are trusted.