"A server for accessing spreadsheets with service accounts and managing ClickUp using MCP" matching MCP servers:

Enables interaction with ClickUp workspaces, spaces, folders, lists, tasks, and comments via MCP tools.

A comprehensive MCP server for the ClickUp API exposing 166 tools to manage Spaces, Folders, Lists, Tasks, Docs, and more, enabling LLMs to read and drive a ClickUp Workspace.

Enables Claude Code and Claude Desktop to manage ClickUp tasks, sprints, reports, workspace navigation, and docs through 25+ MCP tools.

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.

ClickUp MCP Server enables AI assistants to seamlessly interact with your ClickUp workspace. This powerful integration allows Claude to create and manage tasks, access documents, organize folders and lists, add comments, and handle checklists—all through natural conversation.

A Model Context Protocol (MCP) server providing AI assistants with comprehensive ClickUp integration, covering the full API surface across 87 consolidated tools.

Enables natural language management of ClickUp workspaces, including task CRUD operations, task listing, and user profile retrieval via Claude Desktop.

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 AI agents to search, read, and draft emails across multiple Gmail accounts using short aliases, while requiring human approval before any message is sent.

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

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.

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.

An MCP server that enables LLMs to automate browser interactions using Playwright to fetch real-time Israeli weather data.

Connects AI assistants to Jira Service Management instances, providing 40 tools for managing service desks, requests, comments, customers, organizations, queues, SLA, approvals, and attachments.

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

Provides a local MCP server for AI-powered web crawling on Windows, enabling agents to directly crawl and extract web content without requiring WSL.

Enables AI agents to recognize and extract text from images using PaddleOCR, supporting both file paths and base64 input with structured results including confidence scores and text positions.