Integration
Connect More Good Reviews to Parallel Web Systems
When Customers: New Customer fires in More Good Reviews, your agent runs Add FindAll run in Parallel Web Systems. 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 More Good Reviews and Parallel Web Systems to do together?
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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 More Good Reviews can start in Parallel Web Systems
When Customers: New Customer in More Good Reviews
then Add FindAll run in Parallel Web Systems
When Reviews: New Review in More Good Reviews
then Add monitor in Parallel Web Systems
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 More Good Reviews and Parallel Web Systems
Triggers and actions 2 triggers · 47 actions
Trigger
Customers: New CustomerTriggers when a new customer is added to your More Good Reviews project.
Trigger
Reviews: New ReviewTriggers when a new review is collected for the project, optionally limited to a source, location, score, tag or review facet.
Action
Asks: Create AskSchedules a review request to a customer by email and/or SMS, with optional reminder messages.
Action
Charges: Create ChargeRecords a revenue charge for a customer, identified by email or phone, from an external billing system.
Action
Charges: Delete ChargePermanently deletes a mistaken charge (revenue event) from the project.
Action
Customers: Archive CustomerArchives a customer in your More Good Reviews project and cancels any unsent outreach messages to them.
Action
Customers: Cancel Customer Unsent MessagesCancels a customer's scheduled outreach messages that have not been sent yet, without archiving or unsubscribing the customer.
Action
Customers: Create CustomerCreates a customer in your More Good Reviews project, or updates the existing customer that matches the email (or, failing that, the phone) you supply.
Action
Customers: Delete CustomerDeletes a customer from your More Good Reviews project.
Action
Customers: Get CustomerReturns one customer in your project, including their contact details, location and tags.
Action
Customers: List Customer ChargesReturns the revenue charges recorded for one customer, newest first.
Action
Customers: List Customer MessagesReturns the outreach message history (email and SMS review requests) for one customer.
Action
Customers: List CustomersReturns the project's customers, optionally filtered by search text, email, phone, tag, status facet or date range, and sorted.
Action
Customers: Resubscribe CustomerResubscribes a customer who previously opted out, so review requests and other outreach can be sent to them again.
Action
Customers: Unarchive CustomerRestores an archived customer so review requests and integrations treat them as active again.
Action
Customers: Unsubscribe CustomerUnsubscribes a customer from future review-request outreach and cancels any messages not yet sent to them.
Action
Customers: Update Customer NotesReplaces the internal notes stored on a More Good Reviews customer.
Action
Customers: Update Customer TagsReplaces the tags assigned to a customer with the provided list of tag slugs.
Action
Locations: Get LocationReturns a single project location, including its name, display name, slug, store code and address.
Action
Locations: List LocationsReturns every active location on the More Good Reviews project, including each location's slug, store code and address.
Action
Locations: Update LocationUpdates the name, public display name, slug, store code and address of a project location. Fields left blank are not changed.
Action
Messages: Delete MessageDeletes a scheduled or sent outreach message from the project.
Action
Reviews: Delete ReviewDeletes a review from the More Good Reviews project.
Action
Reviews: List ReviewsReturns the project's reviews, optionally filtered by date range, facet, location, source, star rating or tag, and sorted by rating or date.
Action
Reviews: Mark Review RepliedMarks a review as replied (or clears its replied status) when the reply was handled outside More Good Reviews, without changing the stored reply text.
Action
Reviews: Update Review Duplicate FlagMarks a review as a duplicate, or clears its duplicate mark.
Action
Reviews: Update Review TagsReplaces all tags on a review with the given list of tag slugs.
Action
Reviews: Update Review VisibilityShows or hides a review in More Good Reviews public displays.
Action
Sources: Create SourceCreates a review source in your More Good Reviews project, such as a platform where reviews are collected.
Action
Sources: Delete SourceDeletes a review source from the project when it is no longer used.
Action
Sources: List SourcesReturns the review sources (such as Google or Facebook) available for the project's reviews.
Action
Sources: Update SourceUpdates the name, slug, color, or icon of an existing review source.
Action
Tags: Create TagCreates a tag in your More Good Reviews project for organizing customers or reviews.
Action
Tags: Delete TagDeletes a tag from the project, removing it from use on customers and reviews.
Action
Tags: List TagsReturns the project's tags used to organize customers and reviews, optionally limited to customer or review tags.
Action
Tags: Update TagUpdates an existing tag's name, slug, color, icon, or AI tagging settings.
Action
Add FindAll runStarts a Parallel FindAll run that searches the web for every entity matching your objective and match conditions. The run starts queued; retrieve its status and results with the FindAll run id it returns.
Action
Add monitorCreates a Parallel monitor that watches a web search query, or the output of an existing task run, for material changes on a schedule. The monitor runs once right away and then on the chosen frequency.
Action
Cancel monitorPermanently stops a monitor from running. Cancellation cannot be undone; cancelling an already-cancelled monitor changes nothing.
Action
Create Async Web EnrichmentStarts an asynchronous web research/enrichment task run in Parallel. Returns immediately with the run in status 'queued'; fetch the result later with the run id.
Action
Extract web contentExtracts relevant excerpts (and optionally full content) as markdown from up to 20 web URLs.
Action
Fetch Results for Async RunsRetrieves the result of a Parallel task run (created asynchronously) by its run ID, waiting until the run completes or the timeout elapses.
Action
Find entities by objectiveReturns up to the chosen number of people or companies, ranked, that match a natural-language description of the entities you want.
Action
Get FindAll runRetrieve a FindAll run's status, candidate metrics, generator and metadata.
Action
Get FindAll run resultRetrieve a snapshot of a FindAll run's result: run status and metrics plus every candidate evaluated so far with its match status, output and citations.
Action
Get monitorRetrieves a monitor by its ID, including its type, status, frequency, query settings, webhook configuration and, for snapshot monitors, the latest output.
Action
List monitorsList monitors in the Parallel account, newest first, optionally filtered by type and status.
Action
Search webSearches the web with Parallel and returns ranked results with relevant excerpts.
Action
Update monitorUpdates an existing Parallel monitor's frequency, processor, webhook, metadata, query or source settings. Only the fields you fill in are changed.
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
More Good Reviews and Parallel Web Systems, answered
What can start an automation from More Good Reviews?
Any of More Good Reviews's 2 triggers in the catalog, including Customers: New Customer and Reviews: New Review. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Parallel Web Systems when something happens in More Good Reviews?
Any of Parallel Web Systems's 13 actions, including Create Async Web Enrichment, Update monitor, Add FindAll run and Add monitor. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Parallel Web Systems to More Good Reviews?
Parallel Web Systems has no triggers in the catalog today, so automations start in More Good Reviews. If you need the other direction, ask: your agent reads Parallel Web Systems's API documentation and adds it.
Do I have to build a connector for More Good Reviews or Parallel Web Systems?
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 More Good Reviews and Parallel Web Systems without building an automation?
Yes. With your AI client connected to APIANT, ask it to do something in either app 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.