Skip to main content
Glama

OneNote MCP Server

by danosb
simple-page-content.js2.89 kB
#!/usr/bin/env node import { Client } from '@microsoft/microsoft-graph-client'; import fs from 'fs'; import path from 'path'; import { fileURLToPath } from 'url'; // Get current directory const __filename = fileURLToPath(import.meta.url); const __dirname = path.dirname(__filename); // Path for storing the access token const tokenFilePath = path.join(__dirname, '.access-token.txt'); // Function to read the access token function getAccessToken() { try { const tokenData = fs.readFileSync(tokenFilePath, 'utf8'); try { // Try to parse as JSON first (new format) const parsedToken = JSON.parse(tokenData); return parsedToken.token; } catch (parseError) { // Fall back to using the raw token (old format) return tokenData; } } catch (error) { console.error('Error reading token:', error); return null; } } // Main function async function getPageContent() { try { // Get the access token const accessToken = getAccessToken(); if (!accessToken) { console.error('No access token found'); return; } // Initialize Graph client const client = Client.init({ authProvider: (done) => { done(null, accessToken); } }); // List pages console.log("Fetching pages..."); const pages = await client.api('/me/onenote/pages').get(); if (!pages || !pages.value || pages.value.length === 0) { console.log("No pages found"); return; } // Choose the first page const page = pages.value[0]; console.log(`Using page: "${page.title}" (ID: ${page.id})`); // Try to get the content console.log("Fetching page content..."); try { // Create direct HTTP request to the content endpoint const url = `https://graph.microsoft.com/v1.0/me/onenote/pages/${page.id}/content`; console.log(`Making request to: ${url}`); const response = await fetch(url, { headers: { 'Authorization': `Bearer ${accessToken}` } }); if (!response.ok) { throw new Error(`HTTP error! Status: ${response.status} ${response.statusText}`); } const contentType = response.headers.get('content-type'); console.log(`Content type: ${contentType}`); const content = await response.text(); console.log(`Content received! Length: ${content.length} characters`); console.log(`Content preview (first 100 chars): ${content.substring(0, 100).replace(/\n/g, ' ')}...`); // Don't save content to file - just confirm it worked console.log("Content retrieval successful! Privacy preserved - not saving to disk."); } catch (error) { console.error("Error fetching content:", error); } } catch (error) { console.error("Error:", error); } } // Run the function getPageContent();

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/danosb/onenote-mcp'

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