"TDX API MCP (Model Context Protocol) Server" matching MCP servers:

Enables AI clients to create and manage tasks via a local REST API by converting natural language into HTTP requests through the Model Context Protocol.

MCP server for Microsoft Forms automation, enabling AI agents to inspect forms, resolve branching, validate and submit answers, upload files, and manage response links.

Enables ChatGPT to search, read, and organize your Google Keep notes through read-only MCP tools, including full note retrieval, label listing, recent-note browsing, and task extraction. Notes refresh automatically from your connected account without any local database or write access.

Enables AI agents to read conversations, send messages, and manage members in Microsoft Teams via the Teams Chat Service REST API.

An MCP server that gives LLMs read-only access to Microsoft Project Online (Project for the Web) via the Microsoft Graph API.

This MCP server provides an AI-powered productivity suite that connects Todo, Idea, Journal, and Timer apps with AI

An MCP server that generates MCP servers. Give it an API definition - OpenAPI 3.0/3.1 or a Postman collection or extend an existing server - and it scaffolds a complete, runnable, ownable TypeScript or Python MCP server for that collection of APIs.

Enables AI assistants to manage Tempo timesheets and perform write operations such as create, update, delete, submit, approve, reject, reopen, and recall, with user confirmation safeguards.

MCP server for Todoist API integration, allowing management of tasks, projects, sections, labels, and comments through natural language.

Enables AI assistants to read and manage YouGile boards, including projects, columns, tasks, and comments.

An MCP server that enables interaction with Google Sheets through natural language, allowing users to create, read, update, and manage spreadsheet data via the Google Sheets API v4.

An MCP (Multi-Agent Conversation Protocol) Server that enables AI agents to interact with Google Docs via natural language, automatically generated using AG2's MCP builder.

A TypeScript-based REST API that integrates project and task management with MCP (Model Context Protocol), allowing users to manage projects and tasks through natural language interactions.

Enables managing video conferencing platform tasks like creating rooms, managing recordings, and controlling live sessions through natural language with AI assistants.

Enables an AI agent to host a shared folder or join an invite link as a participant in a collaborative editing session, reading, editing, and writing the files the room shares. Runs the same sync engine and wire protocol as editor clients, so an agent and a person or another agent converge on the same documents and see each other's changes.

Enables MCP clients to discover and execute 172 ClickUp API v2 and v3 operations using a personal API token, covering tasks, Workspaces, Spaces, Folders, Lists, comments, custom fields, time tracking, webhooks, Docs, and Chat. Includes read-only mode and attachment uploads, with separate tools for searching operations, inspecting schemas, and running read or write calls.

An MCP server that exposes Nextcloud APIs as tools for AI assistants, enabling management of files, calendar, contacts, conversations, and more.

Enables local read-only access to Asana through MCP, exposing six tools to list projects, search tasks and comments, retrieve task details, and fetch attachment metadata without mutating data.

Enables AI assistants to interact with Google Sheets via natural language, supporting CRUD operations, listing, sharing, and batch updates.

Provides persistent memory, calendar integration, task management, and proactive assistance for Alexa+ through the Model Context Protocol.