Skip to main content
Glama

load-official-blueprint

Load predefined blueprints on Flux MCP server by specifying blueprintName and processId, enabling AI-powered creation, running, and testing of code and handlers in Arweave OS.

Input Schema

NameRequiredDescriptionDefault
blueprintNameYes
processIdYes

Input Schema (JSON Schema)

{ "$schema": "http://json-schema.org/draft-07/schema#", "additionalProperties": false, "properties": { "blueprintName": { "type": "string" }, "processId": { "type": "string" } }, "required": [ "blueprintName", "processId" ], "type": "object" }

Implementation Reference

  • src/mcp.ts:217-231 (registration)
    Registration of the 'load-official-blueprint' tool including name, description, Zod input schema, and inline handler function.
    this.server.tool( "load-official-blueprint", "load an official blueprint in an existing AO process", { blueprintName: z.string(), processId: z.string() }, async ({ blueprintName, processId }) => { const result = await addBlueprint( blueprintName, processId, this.signer ); return { content: [{ type: "text", text: cleanOutput(result) }], }; } );
  • The handler function that implements the tool logic by invoking addBlueprint and formatting the response.
    async ({ blueprintName, processId }) => { const result = await addBlueprint( blueprintName, processId, this.signer ); return { content: [{ type: "text", text: cleanOutput(result) }], }; }
  • Input schema using Zod for blueprintName and processId parameters.
    { blueprintName: z.string(), processId: z.string() },
  • Core helper function that fetches the official blueprint Lua code from GitHub and loads it into the specified AO process.
    export async function addBlueprint( blueprintName: string, processId: string, signer: any ) { const url = `https://raw.githubusercontent.com/permaweb/aos/refs/heads/main/blueprints/${blueprintName}.lua`; const code = await fetchBlueprintCode(url); const result = await runLuaCode(code, processId, signer); return result; }

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/asrvd/flux'

If you have feedback or need assistance with the MCP directory API, please join our Discord server