OpnForm MCP. Orchestrate complex data collection flows from chat.

Forget clicking through dashboards or building complex API calls just to check a form's status. This server gives your AI client full, direct command over OpnForm data collection and infrastructure management. You won't need to touch a single UI element; your agent handles the whole data pipeline using natural conversation.

Managing Environments & Workspaces
You can start by seeing what containers you've got going on. Use list_workspaces to pull an overview of every project area managed under your account. If you need details on one specific area, call get_workspace with the appropriate workspace ID. This gives you all the necessary metadata for that whole section.

Handling Forms Structure
When it comes to forms themselves, you've got total control over the lifecycle. You can ask your agent to build and publish an entirely new form using create_form. Need to tweak an existing setup? Use update_form to modify fields, settings, or content on any current structure without rebuilding it.

If a form is obsolete, you delete it outright with delete_form, removing the specified form from the system.

To keep tabs on everything, you can list all active forms within your scope using list_forms. If you only need to see details for one specific setup, call get_form to retrieve every detail about that particular structure.

Retrieving and Managing Submissions
This is where the data magic happens. You've got two ways to look at submitted records. First, you can use list_submissions to get a summary list of multiple responses attached to one specific form—you see all the raw counts and general data points without getting bogged down in every single field value.

If you need deep detail on just one entry, call get_submission. This fetches the full, detailed payload for that singular submission. For tracking user context, your agent can check your profile details by using get_me, which returns all current account and user information.

Data Cleanup & Maintenance
Keeping data clean is half the battle. If a specific record gets corrupted or needs to be removed entirely, you delete it with delete_submission, removing that single data entry. Remember that cleanup applies not just to submissions; you've also got full power to remove entire forms using delete_form.

Your AI client uses this suite of tools to orchestrate complex data workflows: it can list all available projects via list_workspaces, get the details for a specific project area with get_workspace, then use list_forms and get_form to verify the form structure, build new forms using create_form, or modify old ones with update_form.

When data comes in, it uses list_submissions for summaries and get_submission for granular inspection. It can also manage user context via get_me. Finally, if you need to wipe something clean—whether it's an entire form structure using delete_form, or just one bad record with delete_submission—you've got the commands ready.