Integration
Connect Open Science Framework to Dashly
When New comment fires in Open Science Framework, your agent runs Send message to user in Dashly. Describe the whole flow and it is built, tested on every scenario and kept running.
What the catalog holds today. Ask for anything missing and your agent reads the API documentation and adds it.
Build solutions, not workarounds.
What do you want Open Science Framework and Dashly to do together?
Ask the assistant
Connect your AI client
Give your AI client this address.
https://mcp.apiant.aiAny client that takes a remote MCP server. Nothing to install. Create your free account, then sign in once in your browser.
Set it up in your client
Claude Code
Run this in the directory you want to work in.
claude mcp add --transport http -s project apiant-ai https://mcp.apiant.aiStart Claude Code there, approve the server, and sign in in the browser page it opens.
Claude Code guide (opens in a new tab)Claude, web and desktop
Open Customize, then Connectors, then Add custom connector, and paste the address. On Team and Enterprise an owner adds it first.
Setup guide (opens in a new tab)Cursor
Add the address to your MCP configuration as a server URL. Cursor signs you in in your browser.
Setup guide (opens in a new tab)Zed
Open Settings, then AI, then MCP Servers, then Add Server, then Add Remote Server.
Setup guide (opens in a new tab)Codex and the ChatGPT desktop app
Open Settings, then MCP servers, then Add server, and choose Streamable HTTP. From the terminal, Codex takes the address with its own add command and then signs you in.
Setup guide (opens in a new tab)Any other MCP client
Paste the address where the client asks for a remote MCP server URL, and name the server apiant-ai where it lets you. APIANT's skills reach the client over the same connection.
Setup guide (opens in a new tab)Example flows
What Open Science Framework can start in Dashly
When New comment in Open Science Framework
then Send message to user in Dashly
When New preprint in Open Science Framework
then Create Event in Dashly
Starting points drawn from the triggers and actions in the catalog today. Describe the flow you need, at any depth, and your agent builds it and tests every scenario before it ships.
Everything your agent can do with Open Science Framework and Dashly
Triggers and actions 3 triggers · 32 actions
Trigger
New commentPolling trigger that fires when a new comment is added to an OSF project.
Trigger
New preprintPolling trigger that fires when a new OSF preprint is created.
Trigger
New registrationPolling trigger that fires when a new OSF registration is created.
Action
Get collectionRetrieve a single OSF collection.
Action
Get contributorRetrieve a single contributor on an OSF project.
Action
Get fileRetrieve metadata for a single OSF file.
Action
Get preprintRetrieve a single OSF preprint.
Action
Get projectRetrieve a single OSF project by id.
Action
Get registrationRetrieve a single OSF registration.
Action
Get resourceRetrieve a single OSF outcome resource.
Action
Get userRetrieve a single OSF user.
Action
Get wiki pageRetrieve a single OSF wiki page.
Action
List collectionsList OSF collections.
Action
List commentsList comments on an OSF project.
Action
List contributorsList the contributors on an OSF project.
Action
List preprintsList OSF preprints.
Action
List project filesList the files stored in an OSF project.
Action
List projectsList OSF projects (nodes) visible to the user.
Action
List registrationsList OSF registrations.
Action
List resourcesList OSF outcome resources.
Action
List usersList OSF users.
Action
List wiki pagesList the wiki pages on an OSF project.
Action
Add conversation tag/conversations/{id}/tag - add a tag to a conversation.
Action
Assign conversation/conversations/{id}/assign - assign an admin to the conversation.
Action
Close conversation/conversations/{id}/close - close a conversation.
Action
Create EventCreates a new event.
Action
Create/Update/Delete PropertiesCreates, updates or deletes a list of properties, depending on an operation choice.
Action
Delete conversation tag/conversations/{id}/tag - remove a tag from a conversation.
Action
Get conversation/conversations/{id} - retrieve a conversation by id.
Action
Get user/users/{id} - retrieve a user's data.
Action
List conversation parts/conversations/{id}/parts - list messages/parts of a conversation.
Action
List user events/users/{id}/events - list a user's tracked events.
Action
List users/apps/{id}/users - list users (leads) of an app; paginated.
Action
Reply to conversation/conversations/{id}/reply - post a reply in a conversation.
Action
Send message to user/users/{id}/sendmessage - send a manual message to a user.
No trigger or action matches that. Ask your agent to add it: it reads the API documentation and builds what you describe.
Each app on its own
Reviews
What our customers say
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Questions
Open Science Framework and Dashly, answered
What can start an automation from Open Science Framework?
Any of Open Science Framework's 3 triggers in the catalog, including New comment, New preprint and New registration. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Dashly when something happens in Open Science Framework?
Any of Dashly's 13 actions, including Create Event, Create/Update/Delete Properties, Send message to user and Add conversation tag. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Dashly to Open Science Framework?
Dashly has no triggers in the catalog today, so automations start in Open Science Framework. If you need the other direction, ask: your agent reads Dashly's API documentation and adds it.
Do I have to build a connector for Open Science Framework or Dashly?
No. Both are in the catalog with their triggers and actions. You describe the automation; your agent builds it, tests every scenario and keeps it running.
What happens when something fails?
Your agent works that out for you. It plans the failure paths along with the happy path, then tests every scenario before it ships.
Is there a free plan?
Yes. Every plan includes the agent, including free, and building from your own AI client spends no assistant credits.