"How to read and write data in Zoho Sheet" matching MCP servers:

Connects Zoho Projects with Claude AI to manage projects, tasks, time tracking, and comments through natural language conversations.

Enables MCP-compatible clients to manage Zoho Sprints projects, sprints, items, statuses, and comments via the Zoho Sprints REST API.

Enables managing bugs and test cases in Google Sheets via Claude Code, with tools to list, search, filter failed, and update test cases.

Provides read-only access to Zoho Projects data, letting Claude retrieve tasks, bugs, comments, and inline screenshots directly.

Enables AI assistants to interact with Zoho Projects for managing projects, tasks, issues, milestones, users, and performing searches. Supports comprehensive project management operations through natural language with automatic OAuth token handling.

An enhanced MCP server for Zoho Projects API integration, enabling AI assistants to manage projects, tasks, issues, milestones, comments, attachments, and more with automatic OAuth token refresh.

Read-only MCP server for ClickUp that enables querying workspace hierarchy, task trees, activity history, comments, and time entries without any write capabilities.

Enables async-first working practices by providing tools to draft decision docs, convert meetings to async artifacts, score status updates, and triage sync vs async tasks. It also offers reference tools for the Open and Async book's principles and coaching prompts.

One-pass agentic inbox triage as an MCP server: fetch unread Gmail → classify (action_needed/fyi/newsletter/noise) → summarize → extract tasks → draft replies as Gmail DRAFTS (never sends) → flag calendar → write a triage report. Four stdio tools (fetch_emails, save_gmail_draft, append_tasks, write_report); the host is the LLM, so it runs keyless in Claude Code. Gmail scopes: readonly + compose

MCP server enabling AI agents to interact with OpenProject API v3 for project management, including creating and managing work packages, projects, comments, time entries, boards, and user dashboards.

Enables agentic co-authoring of feature specs, decomposition into architecture-validated tickets, and idempotent syncing to Linear as projects with epics, sub-issues, and dependencies.

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.

Enables AI agents to break down complex tasks into manageable pieces using a structured JSON format with task tracking, context preservation, and progress monitoring capabilities.

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.

A Model Context Protocol (MCP) server that connects AI assistants to Jira Server/Data Center, enabling issue management, JQL search, sprint tracking, and natural language interaction with Jira.

Enables AI to read live weather data and manage a persistent to-do list through MCP tools, demonstrating both read and write capabilities without API keys.

Lets Claude and other AI clients read and modify Microsoft To Do through natural language, adding, completing, searching, updating, and deleting tasks and sub-steps by title and list name instead of ids. Personal Microsoft accounts need no Azure app registration — a single device-code sign-in grants access, with optional read-only and no-delete modes available.

A Python MCP server that retrieves requirements and bug data from TAPD platform to provide AI clients with project management information.

Goodday‑MCP is a lightweight Model Context Protocol (MCP) server designed to seamlessly integrate with the Goodday project management platform via its API v2. It enables querying of projects, tasks, and users—without altering any data—making it ideal for secure context-aware applications