$ loading_
Let AI request human confirmation during data sync tasks to avoid waste.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "data_sync_mcp" yet — see the docs or source repo.
Before running the audience sync, ask me to confirm the audience name, destination platform, and expected impact scope; continue only after I explicitly reply "confirm."
The AI requests confirmation first, then proceeds with the sync only after human approval.
Run DMP verification before the data sync and send me the result for confirmation; pause the next steps if anything looks abnormal.
The AI returns the verification result and stops automatic continuation when issues are found.
If a rollback is needed after a failed sync, explain the reason and impact first, then wait for my approval before rolling back.
The AI explains the rollback and asks for human approval before executing it.
Marketing or data teams can have the AI request human approval before syncing audiences to a destination platform. This helps prevent wrong audience pushes and reduces wasted API calls.
In sync workflows that depend on DMP data, teams can verify the data before continuing. This is useful for automated tasks where data accuracy matters.
When a sync job fails or produces unexpected results, the AI can ask for approval before rolling back. This fits automated workflows that still need human control points.
It is an MCP server that lets AI agents request user feedback or confirmation during tasks. The description specifically says it is optimized for data sync workflows, including audience sync confirmation, DMP verification, and rollback confirmation.
According to the description, its main goal is to reduce wasted API calls. By adding human confirmation at key steps, it lowers the chance of continuing with a bad action.
The provided material does not include installation steps, runtime requirements, or key requirements. For more details, see the source repository.
Sync user profile and audience data with confirmation, verification, and rollback controls.
Create lip-sync videos, manage assets, and track generation via Sync API.
Local-first MCP tool for shared agent memory sync and focus conflict warnings.
Lets AI agents inspect fact-check scope, evidence gaps, and review requirements.
Send transactional emails, track status, and manage contacts through MCP.
Enable AI agents to access Synapse datasets, projects, files, and tables.