"API Documentation for Reference or Development" matching MCP servers:

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

A native Nextcloud app that exposes the instance as an MCP server so Claude and other MCP clients can read, search, and (with admin-granted permissions) edit files, notes, calendars, Deck cards, and Talk conversations. It runs inside Nextcloud with OAuth or app-password sign-in, applying each user's own Nextcloud permissions and admin-controlled per-operation grants.

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

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

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.

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.

Enables AI-powered project management by connecting Claude to Planka kanban boards via 75+ MCP tools for creating, updating, and managing projects, boards, lists, and cards.

Enables Claude to manage Apple Reminders on macOS, providing full CRUD operations such as listing, searching, creating, updating, and deleting reminders.

Enables AI agents to manage n8n workflow automation instances through tools for workflow CRUD operations, execution monitoring, and webhook triggering. It facilitates programmatic interaction with n8n instances via the n8n API with AI-optimized descriptions and error handling.

A robust MCP server that transforms OneNote notebooks into an AI-accessible knowledge base for Gemini Spark, enabling natural language queries to list, read, and search notes via Microsoft Graph API.

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

Enables voice-driven task management by letting users view, select, complete, and reschedule tasks through natural-language commands and a native confirmation card with date parsing and batch handling.

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.

Enables AI assistants to interact with Slack workspaces by listing channels, posting messages and thread replies, adding emoji reactions, retrieving channel history and thread replies, and inspecting user profiles. Supports both stdio and Streamable HTTP transports for flexible integration.

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.

Enables AI agents to read-only inspect an OmniFocus database, retrieving exact tasks and projects, Inbox roots, complete project hierarchies, tags, dates, notes and workload or review overviews. All access is read-only and bounded, with no mutation, write tools or sync triggers.

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

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.

Connects to Microsoft OneNote desktop via COM API, exposing 27 tools for hierarchy, page CRUD, search, rich content, export, health checks, and more. Enables natural-language control of OneNote without API keys or embedded AI providers.

Enables your own ChatGPT to build and manage a collaborative work board—dashboards, categories, datasets, monitors, and policies—through typed WebMCP tools, with human approval, audit trails, and guardrails enforced on every action.