"A tool for managing and scheduling calendar appointments" matching MCP servers:

Remote MCP server for managing iCloud calendar events via CalDAV, supporting CRUD operations, ICS import, and deployment on Prefect Horizon.

This project implements a Python-based MCP (Model Context Protocol) server that acts as an interface between Large Language Models (LLMs) and the Google Calendar API. It enables LLMs to perform calendar operations via natural language requests.

Enables AI agents to interact with Notion Calendar through an undocumented API, supporting calendar and event management, scheduling, RSVPs, preferences, contacts, and more via natural language.

Enables MCP clients like Claude to query Chinese A-share market data, including K-line charts with forward/backward adjustment, limit-up and limit-down pools, per-stock fund flows, index quotes, and stock news, with automatic symbol normalization and retry handling for throttled data sources.

Provides A-share (Chinese stock market) quantitative analysis through tools for stock screening, northbound capital flow tracking, dragon-tiger list analysis, margin trading, sector analysis, technical indicators, IPO info, and limit-up/down statistics using akshare data.

Enables LLMs to read and write local user data, generate fake users via sampling, and interact with structured prompts and resources.

Enables agents to read, create, update, and delete iCloud Calendar events, including recurring events, via CalDAV.

An MCP server that provides utility tools for text analysis, URL metadata fetching, and temperature conversion.

Relays a result screenshot to Slack so you can review a coding agent's output without opening the app.

An MCP proxy that embeds tool definitions and returns only the top-k semantically relevant tools per query, reducing context usage and routing calls to upstream MCP servers.

Enables document conversion between PDF, DOCX, and Markdown formats to facilitate reading and editing complex files in AI tools like Claude Desktop or Cursor. It utilizes marker-pdf and pandoc to provide structured text versions of documents, helping to manage context and support unsupported file types.

An MCP server that enables AI agents to pause and request human approval or information via Slack, Telegram, or macOS dialogs before proceeding with actions.

Turns your PDFs into locally stored flashcards and quizzes, grades your answers, and schedules spaced-repetition reviews entirely on your machine.

Read-only MySQL MCP server that lets AI agents list tables, describe schemas, and run SELECT/SHOW/EXPLAIN queries with a row cap, bound to a single database for safety.

Enables building and evaluating LangGraph agents over a protocol-level MCP server to measure failure rates across four agent topologies.

Graph-based tool retrieval for LLM agents. Builds a tool graph from OpenAPI/MCP specs and retrieves multi-step workflows via hybrid search (BM25 + graph traversal + embedding), recovering accuracy from 12% to 82% with 79% fewer tokens. Also works as an MCP Proxy to aggregate multiple servers behind 3 meta-tools.

Enables AI agents to list, create, update, upsert, and delete calendar events that are stored as notes in a self-hosted Trilium instance, exposing tool names and arguments interchangeable with the Nextcloud Calendar MCP. Events carry stable UIDs, timezone-aware start/end and inclusive all-day semantics, tags, locations and recurrence, and the same notes can be served to standard calendar clients over CalDAV.

Enables LLMs to interact with Kibana through composable toolboxes for building dashboards, managing data, and handling alerts, among other operations.

Enables AI clients to read DTU Learn classes, assignments, deadlines, exams, and recent calendar changes through a local MCP server, using a cached SQLite store for fast and resilient queries.

A Model Context Protocol server that integrates Google Calendar with Claude Desktop, enabling users to manage calendar events (view, create, update, delete) through natural language.