| FMRS | 41 / 100 · D | 66 / 100 · C |
| Reliability | 4 / 20 | 8 / 20 |
|---|
| Security and permissions | 7 / 20 | 15 / 20 |
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| Maintenance | 5 / 20 | 15 / 20 |
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| Documentation | 12 / 20 | 15 / 20 |
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| Setup experience | 13 / 20 | 13 / 20 |
| Best for | - Teams that want to integrate Asana into their AI assistant workflow to operate tasks and projects via natural language.
- Developers and project managers who need quick access to and modification of Asana data.
- Teams that want to unify multiple tools via the MCP protocol.
| - Developers, content creators, and project teams using Atlassian Cloud
- Teams that want Atlassian access inside ChatGPT, Claude, Cursor, or VS Code
- Users who need natural-language search, write, and cross-product workflows
|
| Not for | - Users who do not need to interact with Asana.
- Organizations highly sensitive about data privacy who are uncomfortable with Asana data being processed by third-party servers (though this server runs locally).
- Scenarios requiring advanced admin privileges (e.g., user management, workspace settings) not supported by this server.
| - Users without an Atlassian Cloud site or relevant product permissions
- Deployments requiring a self-hosted MCP server
- Users unwilling to grant an AI client access to Atlassian data or actions
- Jira Service Management or Bitbucket Cloud workflows requiring OAuth authentication
|
| Required permissions | - Requires ASANA_ACCESS_TOKEN environment variable with read/write permissions to Asana API (depending on token scope).
- When READ_ONLY_MODE=true, all write operations are disabled.
| - Jira and Confluence provide read, write, and search permission groups
- Jira Service Management provides read and write access through API tokens only
- Bitbucket Cloud provides read and write access through scoped API tokens only
- Compass is available through OAuth 2.1 only
- The first OAuth installer for a site must have access to the Atlassian apps requested by the MCP scopes
- Organization administrators can manage domain controls, API-token authentication, app access, and audit logs
|
| Risks and side effects | - Token leakage risk: if the access token is leaked, an attacker may read or modify Asana data. Store the token securely.
- Accidental modifications: AI might execute delete or update operations unintentionally. It is recommended to test in a sandbox or enable READ_ONLY_MODE.
- Data privacy: the server is only a bridge, but Asana data will be processed by the MCP client; consider the client's data handling.
| - AI clients can perform Jira, Confluence, Jira Service Management, Bitbucket, and Compass actions on the user’s behalf
- Prompt injection, indirect prompt injection, and tool-poisoning attacks may cause data exfiltration or unintended changes
- Use least privilege, scoped tokens, and minimal project or workspace access
- Require human confirmation for high-impact or destructive actions and monitor audit logs
|
| Supported clients | Claude Desktop, Claude Code, Codex | OpenAI ChatGPT, Claude, Cursor, GitHub Copilot, GitHub Copilot CLI, Google Gemini CLI, Amazon Quick Suite, Local MCP-compatible clients via mcp-remote |
| Tools | 41 | 0 |