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

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

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.

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 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 multi-agent collaborative development bridge that enables TRAE Work to offload complex tasks to Codex executor, with tools for task submission, status tracking, artifact listing, and permission management.

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.

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.

Enables interaction with the Flow Team API through MCP clients, allowing endpoint discovery, API calls, and project management operations like listing projects and participants.

A local, read-only MCP server (plus CLI) over your own stock/ETF transaction log. A deterministic core computes drawdown-first risk with bootstrap confidence intervals and validates targets with walk-forward verdicts. The assistant narrates, but the number fence makes it structurally impossible for the model to produce a figure.

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

A Model Context Protocol server that provides a scratchpad tool for LLMs to organize thoughts, take notes, and plan approaches to complex problems.

Read, search, and write Obsidian vault notes via Team Relay collaborative server. Supports shared folders, real-time sync, and AI agent access.

MCP router that fronts your other MCP servers behind a few small generic tools, so their tool definitions stay out of the context window and are discovered on demand.

Project Memory stores decisions, evidence, outcomes and reviewed lessons in local SQLite. Assistants retrieve bounded context through three MCP tools. People follow and plan work in a live workspace with an overview, sprint board, decision history, readable documents, skills and project maps. Offline exports remain available.

Enables AI agents to securely discover, inspect, and read approved local team files through structured tools, with incremental SQLite indexing, paginated navigation, version verification, and evidence citations across common document formats.

Intent-based project documentation server that automatically maps natural language queries to the right sources (plans, todos, roadmap, docs) and provides comprehensive task management with dependency tracking, backlog promotion, and archival workflows.

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.

Encoding-aware, indentation-smart file tools for AI coding agents. 20+ tools including read/edit with automatic encoding detection, smart indentation conversion, SSH, SFTP, process management, and system utilities.

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.

Enables orchestrating a reusable team of expert agents (PM, architecture, development, QA, security) to analyze a project's files and produce consolidated recommendations. It exposes tools to list experts, ask a single expert, or run the full team from MCP clients.

Enables LLMs to read and write local user data, generate fake users via sampling, and interact with structured prompts and resources.

MCP server for team task tracking, code review, and activity monitoring via Claude Code. Assign tasks, track branch activity, review code, and get daily summaries through natural language.

Enables persistent SQLite-backed tasks, recorded parent/child agent relationships, workflow groups, and lead-mediated conversation snapshots and navigation requests through compatible ChatGPT/Codex hosts.

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.

Enables coding agents to discover projects, inspect existing work, atomically claim tasks, record progress, and complete verified work through a task-tracking HTTP API, with version checks, claim coordination, and idempotent retries.

A FastMCP server that exposes predefined artifacts as Resources and project lifecycle operations as Tools for creating, updating, deploying, debugging, testing, monitoring, and configuring projects with minimal token usage.