R

Roychri MCP Server Asana

This is an MCP server implementation for Asana that allows interaction with the Asana API through an MCP client (such as Anthropic's Claude desktop app), providing management functions for tasks, projects, workspaces, etc.
2 points
10

What is the MCP Asana Server?

The MCP Asana Server allows you to interact with the Asana API through the Model Context Protocol (MCP). It supports various functions, such as listing workspaces, searching for projects and tasks, creating tasks, and retrieving task comments.

How to use the MCP Asana Server?

After enabling the MCP Asana Server in your AI tool, you can easily query and manipulate your Asana tasks and projects.

Use Cases

The MCP Asana Server is ideal for teams and individuals who need to efficiently manage Asana tasks and projects.

Main Features

List WorkspacesList all available workspaces with support for selective field filtering.
Search ProjectsSearch for projects based on name pattern matching.
Search TasksSearch for tasks with advanced filtering options.
Create TaskCreate a new task in a project.
Get Task StoriesRetrieve comments and stories for a specific task.
Update TaskUpdate the details of an existing task.
Create SubtaskCreate a new subtask for an existing task.
Get Multiple Tasks by GIDRetrieve detailed information for multiple tasks in batches.

Advantages and Limitations

Advantages
Seamless integration with the Asana API
Support for various advanced task management functions
Easy to configure and use
Limitations
Requires a valid Asana access token
May require network permissions

How to Use

Register an Asana Account
Visit the Asana official website and register an account.
Generate an Asana Access Token
Generate a personal access token in the Asana Developer Console.
Configure the MCP Client
Add the Asana Server to your MCP client configuration.

Usage Examples

Query Unfinished TasksQuery unfinished tasks in the Sprint 30 project.
Create a New TaskCreate a new task in the specified project.

Frequently Asked Questions

How to generate an Asana access token?
Why did my task search fail?

Related Resources

MCP Official Website
Learn about the Model Context Protocol.
Asana API Documentation
Detailed documentation for the Asana API.
MCP Asana GitHub Repository
View the source code and submit issues.
Installation
Copy the following command to your Client for configuration
{
     "mcpServers": {
       "asana": {
         "command": "npx",
         "args": ["-y", "@roychri/mcp-server-asana"],
         "env": {
           "ASANA_ACCESS_TOKEN": "your-asana-access-token"
         }
       }
     }
   }
Note: Your key is sensitive information, do not share it with anyone.
S
Search1api
The Search1API MCP Server is a server based on the Model Context Protocol (MCP), providing search and crawling functions, and supporting multiple search services and tools.
TypeScript
343
4 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
830
4.3 points
M
MCP Alchemy
Certified
MCP Alchemy is a tool that connects Claude Desktop to multiple databases, supporting SQL queries, database structure analysis, and data report generation.
Python
325
4.2 points
P
Postgresql MCP
A PostgreSQL database MCP service based on the FastMCP library, providing CRUD operations, schema inspection, and custom SQL query functions for specified tables.
Python
112
4 points
M
MCP Scan
MCP-Scan is a security scanning tool for MCP servers, used to detect common security vulnerabilities such as prompt injection, tool poisoning, and cross-domain escalation.
Python
616
5 points
A
Agentic Radar
Agentic Radar is a security scanning tool for analyzing and assessing agentic systems, helping developers, researchers, and security experts understand the workflows of agentic systems and identify potential vulnerabilities.
Python
557
5 points
C
Cloudflare
Changesets is a build tool for managing versions and releases in multi - package or single - package repositories.
TypeScript
1.5K
5 points
E
Edgeone Pages MCP Server
EdgeOne Pages MCP is a service that quickly deploys HTML content to EdgeOne Pages via the MCP protocol and obtains a public URL
TypeScript
254
4.8 points
Featured MCP Services
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
141
4.5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
830
4.3 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
1.7K
5 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
87
4.3 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
6.7K
4.5 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
567
5 points
M
Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
754
4.8 points
C
Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
5.2K
4.7 points
AIbase
Zhiqi Future, Your AI Solution Think Tank
© 2025AIbase