Integration
Connect Cassidy to Crossref Metadata Search
When something happens in Cassidy, your agent does the next thing in Crossref Metadata Search. Describe it 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 Cassidy and Crossref Metadata Search 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 Cassidy can start in Crossref Metadata Search
When Workflow Finished Running in Cassidy
then Find funders by query in Crossref Metadata Search
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 Cassidy and Crossref Metadata Search
Triggers and actions 1 trigger · 6 actions
- Workflow Finished Running
Triggers when a Workflow finishes running within Cassidy.
- Find funders by query
Search the Crossref Funder Registry for funding organizations matching a free-text query.
- Find works by query
Search Crossref's bibliographic metadata for works (articles, books, conference papers, etc.) matching a free-text query, with optional filters and sorting.
- Get funder
Retrieve metadata for a funding organization and its suborganizations by funder ID.
- Get journal
Retrieve information about a journal by its ISSN.
- Get member
Retrieve metadata for a Crossref member (publisher) by member ID.
- Get work by DOI
Retrieve full Crossref metadata for a single work given its DOI.
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
Cassidy and Crossref Metadata Search, answered
What can start an automation from Cassidy?
Any of Cassidy's 1 trigger in the catalog, including Workflow Finished Running. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Crossref Metadata Search when something happens in Cassidy?
Any of Crossref Metadata Search's 6 actions, including Find funders by query, Find works by query, Get funder and Get journal. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Crossref Metadata Search to Cassidy?
Crossref Metadata Search has no triggers in the catalog today, so automations start in Cassidy. If you need the other direction, ask: your agent reads Crossref Metadata Search's API documentation and adds it.
Do I have to build a connector for Cassidy or Crossref Metadata Search?
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.