Integration
Connect Mailparser to Pangram
When New Email Parsed (One Request Per Email) fires in Mailparser, your agent runs Check Plagiarism in Pangram. 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 Mailparser and Pangram to do together?
Ask the assistant
Connect your AI client
Give your AI client this address.
https://mcp.apiant.aiOne connection does both: ask your client to act in an app once, or have it build an automation that keeps running. Any 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 Mailparser can start in Pangram
When New Email Parsed (One Request Per Email) in Mailparser
then Check Plagiarism in Pangram
When New Email Parsed (One Request Per Email) in Mailparser
then Detect AI Image in Pangram
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 Mailparser and Pangram
Triggers and actions 2 triggers · 6 actions
Trigger
New Email Parsed (One Request Per Email)Triggered instantly when Mailparser finishes parsing an inbound email, with all of that email's parsed data delivered in a single request. In Mailparser, open your inbox and add a Generic Webhook under Integrations/Downstream Webhooks, paste the minted URL, and set Repeating Data Behaviour to "One request per Email". Parsed fields bind as {{ trigger.body.* }}. Use the One Request Per Row trigger instead when you are parsing tabular data and want each row handled as its own run.
Trigger
New Email Parsed (One Request Per Row)Triggered instantly for EACH parsed table row when Mailparser finishes parsing an inbound email — one run per row, for tabular data such as invoice line items or price lists. In Mailparser, open your inbox and add a Generic Webhook under Integrations/Downstream Webhooks, paste the minted URL, and set Repeating Data Behaviour to "One request per row". That row's fields bind as {{ trigger.body.* }}. Use the One Request Per Email trigger instead when you want the whole email's parsed data in a single run.
Action
Check PlagiarismChecks text against online content and returns any matching sources with similarity scores.
Action
Detect AI ImageAnalyzes an image and returns whether it is AI-generated or AI-edited, with a likelihood score.
Action
Get AI Detection ResultReturns the status and result of an AI text detection check, looked up by its task ID.
Action
Get Bulk Detection JobReturns the status and progress counts of a bulk AI detection job.
Action
Get Bulk Detection ResultsReturns the per-passage AI detection results of a bulk job, up to 1,000 passages per call.
Action
List ModelsReturns the AI text detection models available to your Pangram account.
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
Mailparser and Pangram, answered
What can start an automation from Mailparser?
Any of Mailparser's 2 triggers in the catalog, including New Email Parsed (One Request Per Email) and New Email Parsed (One Request Per Row). Describe the moment in plain language and your agent picks the right one.
What can your agent do in Pangram when something happens in Mailparser?
Any of Pangram's 6 actions, including Check Plagiarism, Detect AI Image, Get AI Detection Result and Get Bulk Detection Job. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Pangram to Mailparser?
Pangram has no triggers in the catalog today, so automations start in Mailparser. If you need the other direction, ask: your agent reads Pangram's API documentation and adds it.
Do I have to build a connector for Mailparser or Pangram?
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.
Can my AI client use Mailparser and Pangram without building an automation?
Yes. With your AI client connected to APIANT, ask it to do something in Pangram once and it runs that action on the spot. Ask for an automation and your agent builds it, tests every scenario and keeps it running. One connection covers both.
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.