"How to configure Azure Speech" matching MCP servers:

Enables AI clients like Claude to read and manage Microsoft To Do task lists and tasks via the Microsoft Graph API, running locally over stdio with secure token storage.

A unified MCP server that enables AI assistants to interact with Microsoft 365 and Azure resources through Azure CLI and Microsoft Graph API, running in a single Docker container.

Enables managing Microsoft To Do lists and tasks through MCP, including creating, updating, completing, deleting, searching, and checklist operations via Microsoft Graph.

Enables to manage to-do items through natural language, with tools for creating, reading, updating, and deleting tasks.

Search, document and execute authenticated API calls across all your apps (Gmail, Slack, Stripe, Notion, GitHub, and more) through 4 universal tools whose context footprint stays constant no matter how many connections you add. Hosted remote server with OAuth at https://mcp.withone.ai/mcp, or run locally via npx @withone/mcp.

AI job search and job application tracker. Search live jobs by title, location, salary, date posted, and remote or on-site, and see each one checked on real data: pay against market rates, ghost-job signals, visa sponsorship history, and how well it matches your resume. Check how hiring software reads your resume, track applications, set follow-up reminders, and get email alerts.

Enterprise AI operator evaluation MCP server. 27 tools (22 read + 5 write) for measuring, benchmarking, diagnosing, and interv ening on how human operators use AI tools across 5 canonical metrics.

Converts Markdown documents to professional Word documents with advanced formatting capabilities including mathematical formulas, custom styling, tables, images, headers/footers, and watermarks.

Enables AI agents to read and edit Microsoft To Do tasks, lists, and steps via Microsoft Graph, including due dates, reminders, and subtasks.

TO DO microsoft

Enables AI assistants to read, search, create, and update Microsoft OneNote Desktop notebooks, sections, and pages on Windows using a dual-engine design that combines local .one backup parsing for offline full-text search with live COM automation for real-time authoring. Converts semantic HTML into native OneNote XML with rich typography, hierarchical sub-bullets, and grid tables — no cloud tokens, Graph registrations, or Azure credentials required.

Enables fetching and managing Microsoft Outlook calendar events within date ranges through natural language, using Azure AD authentication and dual transport support for compatibility with Claude Desktop and other MCP clients.

Provides comprehensive management of Microsoft 365 services including Exchange, SharePoint, Teams, Azure AD, Intune device management, security & compliance frameworks, and universal access to 1000+ Microsoft Graph API endpoints with advanced features like batch operations, delta queries, and real-time webhooks.

MCP server for Microsoft To Do via Microsoft Graph. MSAL device code flow, no client secret needed.

Enables interaction with Microsoft Planner tasks through natural language using Azure CLI authentication. Supports listing plans, creating/updating/deleting tasks, managing buckets, and integrating GitHub links without complex OAuth setup.

Universal Microsoft Graph API gateway providing access to 1000+ endpoints for managing Microsoft 365 services including Teams, SharePoint, Exchange, Intune, security, compliance, and Azure AD with dynamic tool generation and advanced features like batch operations and webhooks.

Enables users to manage a personal to-do list backed by SQLite, adding single or multiple tasks, listing incomplete tasks, renaming or updating task status, and marking tasks complete. All state persists in a local database created automatically on first run.

What is PandaDoc MCP? PandaDoc MCP (Model Context Protocol) server connects AI agents directly to PandaDoc's document workflow — creating, sending, and tracking contracts and agreements without leaving your AI client. How to use PandaDoc MCP? To use PandaDoc MCP, connect your PandaDoc account, provide the required API credentials, and configure the appropriate MCP client.

Enables agents to break high-level business objectives into dependency-ordered sub-task graphs and then directly generate the finished deliverables, such as financial spreadsheets, executive presentations, and analytical reports. It runs as a zero-dependency Python MCP server over JSON-RPC stdio, adding deterministic authorization, role-boundary validation, and telemetry.

Enables AI agents to query and interact with Microsoft OneNote data via natural language, as part of the Pipeworx MCP gateway.