Skip to main content
Glama

handbook-building

Build Turbo applications by handling scripts, bundling JavaScript, implementing caching strategies, installing Stimulus behavior, making transformations idempotent, and persisting elements across page loads.

Instructions

Building Turbo applications - covers script handling, JavaScript bundling, caching strategies, installing behavior with Stimulus, making transformations idempotent, and persisting elements across page loads

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Implementation Reference

  • Handler function for the 'handbook-building' tool (shared across all doc tools). Fetches the markdown content for the specified file using readMarkdownFile and returns it as MCP content block, with error handling.
    async () => { try { const content = await readMarkdownFile(path.join(folder, file)); return { content: [ { type: "text", text: content } ] }; } catch (error) { const errorMessage = error instanceof Error ? error.message : String(error); return { content: [ { type: "text", text: `Error reading ${file}: ${errorMessage}` } ] }; } }
  • src/index.ts:17-45 (registration)
    Registers the 'handbook-building' tool by iterating over docFiles from config.ts and calling server.tool with the tool's name, description, and handler function.
    docFiles.forEach(({ folder, file, name, description }) => { server.tool( name, description, async () => { try { const content = await readMarkdownFile(path.join(folder, file)); return { content: [ { type: "text", text: content } ] }; } catch (error) { const errorMessage = error instanceof Error ? error.message : String(error); return { content: [ { type: "text", text: `Error reading ${file}: ${errorMessage}` } ] }; } } ); });
  • Schema/configuration defining the 'handbook-building' tool: its name, description, source folder, and filename.
    { folder: 'handbook', file: '07_building.md', name: 'handbook-building', description: 'Building Turbo applications - covers script handling, JavaScript bundling, caching strategies, installing behavior with Stimulus, making transformations idempotent, and persisting elements across page loads' },
  • Helper function called by the tool handler to read the markdown file content, implementing caching, GitHub API fetching, and local fallback.
    export async function readMarkdownFile(filename: string): Promise<string> { const filePath = path.join(docsFolder, filename); if (!filePath.startsWith(docsFolder)) { throw new Error("Invalid file path"); } // Get current commit info if we don't have it yet if (!mainBranchInfo) { try { const commitInfo = await fetchMainBranchInformation(); const cacheKey = `${commitInfo.sha.substring(0, 7)}-${commitInfo.timestamp}`; mainBranchInfo = { ...commitInfo, cacheKey }; } catch (shaError) { console.error('Failed to get GitHub commit info, falling back to direct fetch'); } } // Try to read from cache first if we have commit info if (mainBranchInfo) { const cachedFilePath = path.join(cacheFolder, mainBranchInfo.cacheKey, filename); try { const content = await fs.promises.readFile(cachedFilePath, "utf-8"); console.error(`Using cached content for ${mainBranchInfo.cacheKey}: ${filename}`); return content; } catch (cacheError) { // Cache miss, continue to fetch from GitHub } } // Fetch from GitHub try { return await fetchFromGitHub(filename, mainBranchInfo?.cacheKey); } catch (githubError) { console.error(`GitHub fetch failed: ${githubError}, attempting to read from local files...`); // Fallback: read from local files try { return await fs.promises.readFile(filePath, "utf-8"); } catch (localError) { const githubErrorMessage = githubError instanceof Error ? githubError.message : String(githubError); const localErrorMessage = localError instanceof Error ? localError.message : String(localError); throw new Error(`Failed to read file from GitHub (${githubErrorMessage}) and locally (${localErrorMessage})`); } } }

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/pinzonjulian/turbo-docs-mcp-server'

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