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Manage secure data annotation workflows with storage, tracking, and team notifications.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "custom-mcp-server" yet — see the docs or source repo.
Use custom-mcp-server to create a workflow for a new image annotation project. Store source images in S3, track task status in DynamoDB, and return a task list for the team to execute.
A created annotation workflow description with storage location, status tracking method, and an actionable task list.
Use custom-mcp-server to check the completion progress of the current data annotation project, summarize unfinished items, and send the progress summary to a Slack team channel.
A progress summary plus a project status notification sent to Slack.
Use custom-mcp-server to access annotation task tools with JWT authentication. If requests are rate-limited, retry automatically and report the final result and failure reason if any.
The authenticated call result after retries, including success status, retry details, and any relevant errors.
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