Integration
Connect DocuPipe to Forager
When Document Processed fires in DocuPipe, your agent runs Find person by email in Forager. 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 DocuPipe and Forager 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 DocuPipe can start in Forager
When Document Processed in DocuPipe
then Find person by email in Forager
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 DocuPipe and Forager
Triggers and actions 1 trigger · 21 actions
- Document Processed
Triggers when a document finishes parsing and OCR is complete.
- Add schema
Creates a new extraction schema in DocuPipe from a JSON schema you supply, and returns its schema ID.
- Analyze document
Asks DocuPipe a list of plain-language questions about one document and starts the analysis, returning the analysis ID to fetch the answers with.
- Classify Document
Sends one or more documents to DocuPipe to be sorted into your classes, and returns the job that is doing the work.
- Delete document
Removes a document from your DocuPipe account.
- Delete schema
Removes an extraction schema from your DocuPipe account.
- Extract Data From Document
Pulls structured data out of a document using one of your schemas, and returns the extraction to fetch the results with.
- Find documents by criteria
Finds documents in your DocuPipe account whose file name or document ID matches what you search for.
- Get Document
Returns one document from your DocuPipe account, with its file details, processing status, parsed text and your own metadata.
- Get Extraction Result
Returns the data DocuPipe pulled out of a document, shaped by the schema that was used, along with per-field confidence details.
- Get schema
Returns one extraction schema from your DocuPipe account, including the JSON schema it applies and its guidelines.
- List documents
Returns the documents in your DocuPipe account, optionally narrowed to one dataset or a date range.
- List extractions
Returns the data extractions in your DocuPipe account, optionally narrowed to one schema, one document, or a specific set of extractions.
- List schemas
Returns the extraction schemas in your DocuPipe account.
- Upload and Extract Data
Sends a file to DocuPipe and immediately starts pulling structured data out of it, returning both the new document and the extraction.
- Upload Document
Sends a file to DocuPipe to be read and turned into a document you can extract data from.
- Enrich Profile With Phone Number
Returns the phone numbers Forager holds for a known person, identified by Forager person ID or LinkedIn handle.
- Find job posts
Searches Forager's job-post index by title, description, source, dates, hiring organization and location, returning matching job posts.
- Find organizations
Searches Forager's organization index and returns companies matching filters such as description, industry, headcount, location, domain, funding and job posts.
- Find people by role
Searches Forager for people by their role title, role dates, personal details, and employer attributes, returning matching people with their role history and organizations.
- Find person by email
Finds a person's full profile (roles, education, skills, location) from their personal email address.
- Get person
Returns a person's full Forager profile — roles, education, skills, location and LinkedIn info — looked up by Forager person ID or LinkedIn profile slug.
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
DocuPipe and Forager, answered
What can start an automation from DocuPipe?
Any of DocuPipe's 1 trigger in the catalog, including Document Processed. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Forager when something happens in DocuPipe?
Any of Forager's 6 actions, including Enrich Profile With Phone Number, Find job posts, Find organizations and Find people by role. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Forager to DocuPipe?
Forager has no triggers in the catalog today, so automations start in DocuPipe. If you need the other direction, ask: your agent reads Forager's API documentation and adds it.
Do I have to build a connector for DocuPipe or Forager?
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.