Integration
Connect Mailparser to Writer
When something happens in Mailparser, your agent does the next thing in Writer. 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 Mailparser and Writer 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 Mailparser can start in Writer
When New Email Parsed (One Request Per Email) in Mailparser
then Add file in Writer
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 Writer
Triggers and actions 2 triggers · 16 actions
- 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.
- 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.
- Add file
Uploads a file (PDF, Word, PowerPoint, image, email, HTML, subtitle, CSV or Excel) to your Writer account, optionally attaching it to a Knowledge Graph.
- Add file to knowledge graph
Adds an uploaded file to a Writer Knowledge Graph.
- Add knowledge graph
Create a new Knowledge Graph.
- Ask knowledge graph
Ask a natural-language question against a Knowledge Graph and get an answer with citations.
- Delete file
Permanently delete a file from Writer. This cannot be undone.
- Delete file from knowledge graph
Remove a file from a Knowledge Graph. The file remains in your Writer files.
- Delete knowledge graph
Delete a Writer Knowledge Graph.
- Generate chat completion
Generate a multi-turn chat completion from a list of messages, distinct from the existing single-prompt Send Prompt/Text generation op.
- Get file
Retrieve a file's details, including its name, processing status, and the Knowledge Graphs it belongs to.
- Get knowledge graph
Retrieve a Writer Knowledge Graph by its id, including file processing status and connected web URLs.
- List knowledge graphs
Retrieve a list of Knowledge Graphs. By default only org-wide Knowledge Graphs are returned; supply team IDs to include graphs deployed to those teams.
- List models
Lists the models available to your Writer account for text generation, chat completions and other AI tasks.
- Parse PDF
Parse a PDF document into structured text.
- Search web
Searches the web for a query using Writer's web search tool and returns a generated answer with the source URLs it drew on.
- Send Prompt
Generates text from a single prompt with a Writer Palmyra model (or an external model configured for your organization), without conversational context.
- Update knowledge graph
Update a Knowledge Graph's name/description.
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 Writer, 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 Writer when something happens in Mailparser?
Any of Writer's 16 actions, including Send Prompt, Update knowledge graph, Add file and Add file to knowledge graph. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Writer to Mailparser?
Writer has no triggers in the catalog today, so automations start in Mailparser. If you need the other direction, ask: your agent reads Writer's API documentation and adds it.
Do I have to build a connector for Mailparser or Writer?
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.