--- title: "Connect Mailparser to NHL Records and Stats - APIANT.ai" description: "When \"New Email Parsed (One Request Per Email)\" fires in Mailparser, your agent runs \"Get attendance records\" in NHL Records and Stats." canonical: "https://apiant.ai/connect/mailparser-to-nhl-records-and-stats" --- # Connect Mailparser to NHL Records and Stats When **New Email Parsed (One Request Per Email)** fires in [Mailparser](https://apiant.ai/connections/mailparser), your agent runs **Get attendance records** in [NHL Records and Stats](https://apiant.ai/connections/nhl-records-and-stats). Describe the whole flow and it is built, tested on every scenario and kept running. Mailparser **2** triggers NHL Records and Stats **13** actions What the catalog holds today. Ask for anything missing and your agent reads the API documentation and adds it. ## What do you want Mailparser and NHL Records and Stats to do together? Give your AI client this address. `https://mcp.apiant.ai` One 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.ai` Start Claude Code there, approve the server, and sign in in the browser page it opens. [Claude Code guide (opens in a new tab)](https://apiant.ai/docs/mcp/claude-code) ### 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)](https://apiant.ai/docs/mcp) ### 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)](https://apiant.ai/docs/mcp) ### Zed Open Settings, then AI, then MCP Servers, then Add Server, then Add Remote Server. [Setup guide (opens in a new tab)](https://apiant.ai/docs/mcp) ### 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)](https://apiant.ai/docs/mcp) ### 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)](https://apiant.ai/docs/mcp) Example flows ## What Mailparser can start in NHL Records and Stats - When **New Email Parsed (One Request Per Email)** in Mailparser then **Get attendance records** in NHL Records and Stats - When **New Email Parsed (One Request Per Email)** in Mailparser then **Get franchise record vs another franchise** in NHL Records and Stats 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 NHL Records and Stats ## Triggers and actions 2 triggers · 13 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 **Find draft picks** Search historical NHL draft picks, filterable by draft year, drafting team, and round number. - Action **Find player milestones** Find players meeting a career or single-season milestone (e.g. 1000-point career, 500-goal career, 100-point season, 50-goal season, 5-goal game). - Action **Find playoff series** Search game-by-game data for a specific playoff round and season (e.g. Stanley Cup Final). - Action **Get attendance records** Return league-wide season attendance records, split into regular-season and playoff attendance. - Action **Get franchise detail** Return a franchise's captain history, coaching history, general manager history, and retired numbers. - Action **Get franchise record vs another franchise** Return a franchise's all-time regular-season record against every other team in the league. - Action **Get franchise team totals** Return cumulative all-time stats (wins, losses, ties, road/home splits, etc) for every franchise. - Action **Get playoff record vs another franchise** Return a franchise's all-time playoff record against every other team in the league. - Action **List franchises** List every franchise in NHL history with its id, name, and first/last season. - Action **List franchise season results** List every season's win/loss result for a specific franchise, sortable by season. - Action **List officials** List NHL officials, optionally filtered to only currently active officials. - Action **List players by team** List every player who has played for a specified team. - Action **List trophies** List every NHL trophy with its description and image. ## Each app on its own - [ **Mailparser** Send emails to Mailparser, get structured data in return.](https://apiant.ai/connections/mailparser) - [ **NHL Records and Stats** NHL Records and Stats covers the National Hockey League's public statistics and records services.](https://apiant.ai/connections/nhl-records-and-stats) Reviews ## What our customers say ## More from Mailparser - [ **Mailparser to HubSpot** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/mailparser-to-hubspot) - [ **Mailparser to Salesforce** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/mailparser-to-salesforce) - [ **Mailparser to Slack** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/mailparser-to-slack) - [ **Mailparser to Google Sheets** Google Sheets is Google's online spreadsheet app for creating, editing and sharing spreadsheets.](https://apiant.ai/connect/mailparser-to-google-sheets) - [ **Mailparser to Gmail** Gmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...](https://apiant.ai/connect/mailparser-to-gmail) - [ **Mailparser to Google Calendar** Google Calendar is a time management tool providing scheduling features, event reminders, and integration...](https://apiant.ai/connect/mailparser-to-google-calendar) ## More into NHL Records and Stats - [ **HubSpot to NHL Records and Stats** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/hubspot-to-nhl-records-and-stats) - [ **Salesforce to NHL Records and Stats** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/salesforce-to-nhl-records-and-stats) - [ **Slack to NHL Records and Stats** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/slack-to-nhl-records-and-stats) - [ **Google Sheets to NHL Records and Stats** Google Sheets is Google's online spreadsheet app for creating, editing and sharing spreadsheets.](https://apiant.ai/connect/google-sheets-to-nhl-records-and-stats) - [ **Gmail to NHL Records and Stats** Gmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...](https://apiant.ai/connect/gmail-to-nhl-records-and-stats) - [ **Google Calendar to NHL Records and Stats** Google Calendar is a time management tool providing scheduling features, event reminders, and integration...](https://apiant.ai/connect/google-calendar-to-nhl-records-and-stats) Questions ## Mailparser and NHL Records and Stats, 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 NHL Records and Stats when something happens in Mailparser? Any of NHL Records and Stats's 13 actions, including Find draft picks, Find player milestones, Find playoff series and Get attendance records. Your agent maps the data both ways and tests every scenario before it ships. ### ### Can it also run from NHL Records and Stats to Mailparser? NHL Records and Stats has no triggers in the catalog today, so automations start in Mailparser. If you need the other direction, ask: your agent reads NHL Records and Stats's API documentation and adds it. ### ### Do I have to build a connector for Mailparser or NHL Records and Stats? 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 NHL Records and Stats without building an automation? Yes. With your AI client connected to APIANT, ask it to do something in NHL Records and Stats 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.