"Asana" matching MCP servers:

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

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.

A local MCP server for Asana that uses a personal access token to read and manage Asana projects, tasks, sections, and comments via the standard Asana REST API.

A local MCP server that lets you interact with Asana using a personal access token, providing tools to list projects and tasks, search tasks, create and update tasks, and add comments via the Asana REST API.

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

A local-first Asana MCP server that provides controlled writes, schema operations, diagnostics, and one-call briefs over the REST API using a Personal Access Token.

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

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.

Enables AI agents to bridge Shopify, Odoo, and Asana for e-commerce operations, turning a Shopify order into an Odoo sale order and Asana fulfillment task in a single call, with Excel export support.

MCP server for Everhour time tracking with first-class Asana integration, enabling tasks lookup, time logging, timer control, and timesheet review.

Enables AI assistants to scan multiple services and local filesystems for leaked secrets using n0s1 secret-scanning capabilities.

A composable semantic memory layer that provides cross-project recall and session context using Qdrant and OpenAI embeddings. It enables users to securely store, search, and manage persistent memories with built-in secret scrubbing for privacy.

Enables LLMs and AI agents to query Google Ads accounts and reporting data through the Google Ads API, including customer lookups, resource metadata inspection, and reference material on metrics, segments, and release notes. Tools and resources can be selectively enabled and namespaced via a configuration file, with authentication handled through Application Default Credentials or an OAuth proxy.