"Sort Content by Number of Downloads" matching MCP servers:

An MCP server that uses AI to generate structured Asana project plans from diverse sources like text, PDFs, and meeting transcripts. It enables users to preview, generate, and directly sync detailed task lists, subtasks, and dependencies into Asana.

Runs 20 slash-command workflows across Google Calendar, Gmail, Linear, Slack, Granola, Google Docs, GitHub, Stripe, Notion, Google Forms, Sheets and Drive to produce morning briefs, meeting prep, action items assigned to owners and weekly updates. Reads proceed without asking, while anything that creates, sends, changes or deletes is shown for approval first.

Shrimp Task Manager is a task tool built for AI Agents, emphasizing chain-of-thought, reflection, and style consistency. It converts natural language into structured dev tasks with dependency tracking and iterative refinement, enabling agent-like developer behavior in reasoning AI systems.

This read-only MCP Server allows you to connect to Jira data from Claude Desktop through CData JDBC Drivers. For full CRUD support, check out the first managed MCP platform: CData Connect AI (https://www.cdata.com/ai/).

NavisCoord connects desktop AI clients to Autodesk Navisworks Manage on Windows for clash analysis, coordination groups, revision comparisons and illustrated reports. Version 1.0 is under release review in PR #19 and requires a licensed local Navisworks installation.

Enables AI-powered task management in OmniFocus with support for project reviews, planned dates, repeating tasks, custom perspectives, hierarchical subtasks, and advanced filtering. Perfect for Claude AI integration with comprehensive CRUD operations for tasks, projects, and folders.

An MCP server that enables AI assistants to interact with Atlassian Jira and Confluence across Cloud and Server/Data Center environments. It supports tasks like searching and summarizing documentation, managing Jira issues, and creating content through natural language.

Atlassian Jira/Confluence MCP server with schema-validated Markdown↔ADF roundtrips — surfaces content-model violations at conversion time instead of silently dropping panels, mentions, and layouts.

This MCP server provides unified read/write access to Jira Cloud tickets and Confluence Cloud pages, enabling search, retrieval, and updates. It automatically downloads log attachments from tickets into a shared directory for the companion Log Intelligence MCP to ingest.

This MCP server lets GitHub Copilot fetch Azure Boards work items by URL or ID and generate QA test cases from the ticket content.

Enables automatic saving of insights from Claude conversations as GitHub Issues, with features to create, list, and search insights by category and keyword.

Enables natural language management of Motion tasks, projects, schedules, and more by bridging the Motion API with LLMs through the Model Context Protocol.

Enables Google Developer Experts to report various activities (content creation, speaking engagements, workshops, mentoring) through AI conversational interfaces by connecting Advocu API with Model Context Protocol.

Enables AI assistants to interact with Monday.com workspaces, allowing retrieval of board lists, board details, item content, and user information through the Monday.com API.

A server that provides access to Alibaba Cloud workitem descriptions through MCP protocol, allowing agents to retrieve structured workitem data including text, images, and HTML content by ID.

TruePPM MCP servers ask real questions of your self-hosted TruePPM instance: the critical path, a Monte Carlo slip forecast, sprint status, the risk register, My Work. Answers are computed server-side by the same CPM/Monte Carlo engine the web UI uses, never guessed by a model, and nothing leaves your box.

Enables Claude and other MCP clients to log, update, and delete FreshBooks time entries, run and stop timers, and pull summaries of billable and unbilled hours by day, week, client, project, or service, with OAuth-based sign-in and per-user token storage.

Enables AI agents to manage web production projects by providing tools for sitemap planning, content drafting, and review comment workflows.

A single source of truth for a product's state, roadmap, and deferred work, read and written equally by you and your AI agent via web dashboard and MCP.

Enables MCP clients to list, view details of, and update Microsoft Planner tasks grouped by bucket.