"Asana: Project Management and Team Collaboration Tool" matching MCP servers:

An MCP (Multi-Agent Conversation Protocol) server that enables interacting with the Asana API through natural language commands for task management, project organization, and team collaboration.

Enables interaction with Asana through natural language, supporting task and project management via MCP clients like Claude.

Enables comprehensive Asana workspace management through natural language, supporting task tracking, project planning, team collaboration, and workflow automation across workspaces, projects, sections, and tasks.

Multi-Agent Conversation Protocol server that enables interaction with Asana's task management API, allowing users to manage projects, tasks, and team collaboration through natural language.

Enables comprehensive GitHub project management automation including creating/managing issues, updating project boards, assigning team members, and analyzing repository activity across organizations through OAuth-authenticated AI assistants.

In-memory MCP server for cooperative collaboration between separate agents, enabling topic-based messaging and coordination via tools like create_topic, join_topic, send_message, read_messages, and check_in.

MCP server for Asana administration, enabling portfolio, custom field, project, and section management with advanced features like duplication and reordering.

A Model Context Protocol (MCP) server that connects AI assistants to the Asana API for task, project, and workspace management.

MCP server for the Asana API that allows AI agents to read and optionally write to Asana tasks, comments, and custom fields, with tiered access controls and no delete tools.

Enables AI agents to interact with Asana workspaces, projects, and tasks via the Asana REST API. Supports natural language queries through the Pipeworx gateway.

Enables to interact with Asana through Claude, with read and write tools for tasks, projects, tags, and custom fields, with no destructive operations.

Enables AI assistants to export Asana project structures, retrieve tasks and details, and list workspaces and projects via the Model Context Protocol.

A Type 4 OAuth MCP server for the Asana API, enabling AI assistants to manage workspaces, projects, tasks, comments, users, and teams.

Enables AI assistants to fully interact with Asana, including creating and managing tasks, projects, time tracking, and search, all through natural language.

Enables local read-only access to Asana through MCP, exposing six tools to list projects, search tasks and comments, retrieve task details, and fetch attachment metadata without mutating data.

Enables interaction with Tiptap collaborative document services through comprehensive document management, real-time statistics, markdown conversion, and batch operations. Supports creating, updating, searching, and managing collaborative documents with health monitoring and semantic search capabilities.

Enables Claude to collaborate with Gemini for code reviews, second opinions, and iterative software development. It facilitates multi-step workflows including PRD creation and code generation through an AI orchestration framework.

Perform Asana operations from an MCP Client such as Anthropic's Claude Desktop Application, and many more.

A Model Context Protocol (MCP) server that provides comprehensive Asana integration, enabling AI assistants like Claude to interact with Asana workspaces, projects, tasks, goals, portfolios, and more.

Enables Claude to interact with Asana workspaces, tasks and projects through the Asana API, allowing users to search, create, update, and manage Asana tasks and projects using natural language.

Provides a standardized interface for interacting with Asana's tools and services through a unified API, enabling AI assistants to manage tasks, projects, and workflows.

Enables AI agents from different providers to collaborate in shared discussion threads, posting proposals and reviews while retrieving synchronized context, with human oversight.

Provides access to Atomic Red Team tests, enabling search, validation, and execution of atomic tests via natural language.

A tool discovery MCP server that integrates with Azure DevOps wikis and code-graph-rag to match natural language goals to tools, enabling tool composition and proxy testing.

Exposes employee leave-management operations (add employees, check balance, apply/cancel leave, view history) as MCP tools for AI clients like Claude Desktop to call directly.

This server implementation allows AI assistants to interact with Asana's API, enabling users to manage tasks, projects, workspaces, and comments through natural language requests.

Enables collaboration between multiple AI models (GPT, Claude, Gemini) to work together on complex tasks, with intelligent task distribution and role-based expert assignment for code development, review, and optimization.

Publishes a shared MCP endpoint where API-key users in different groups see and call only the tools their policies permit, mixing remote upstream tools with local ones. Tool discovery and execution are both filtered, hidden-tool calls are denied before their handlers run, and every action is tagged with subject and group in structured JSON logs.

Manages Supabase projects, databases, edge functions, secrets, and branches across organizations using the Supabase Management API with 24 tools.

Enables AI assistants to programmatically manage GitHub Project V2 boards with 100+ tools for issues, fields, workflows, and automation via MCP.