Integration
Connect Chatling and Firebase / Firestore
When New Contact/Lead fires in Chatling, your agent runs Create Cloud Firestore Document in Firebase / Firestore, or New Document Within a Firestore Collection in Firebase / Firestore to Create Contact in Chatling. 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 Chatling and Firebase / Firestore 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 Chatling and Firebase / Firestore can do together
From Chatling to Firebase / Firestore
When New Contact/Lead in Chatling
then Create Cloud Firestore Document in Firebase / Firestore
From Firebase / Firestore to Chatling
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 Chatling and Firebase / Firestore
Triggers and actions 3 triggers · 18 actions
- New Contact/Lead
Triggers when a Chatling chatbot saves a new contact or lead.
- New Conversation
Triggers when a customer starts a new conversation with a Chatling chatbot.
- Add Knowledge Base FAQ
Adds a question and answer (FAQ) to a Chatling chatbot's knowledge base.
- Add Knowledge Base Links
Adds a webpage link to a Chatling chatbot's knowledge base so the AI can answer from it.
- Add Knowledge Base Text
Adds a block of text to a Chatling chatbot's knowledge base so the AI can answer from it.
- Create Contact
Creates a contact (lead) in a Chatling chatbot. At least one contact detail is required.
- Delete Contact
Deletes a contact from a Chatling chatbot.
- Delete Conversation
Deletes a conversation from a Chatling chatbot.
- Delete Knowledge Base Data Source
Deletes a data source (link, text or FAQ) from a Chatling chatbot's knowledge base.
- Get Chatbot
Returns one Chatling chatbot by its ID, with its name, version and visibility.
- Get Contact
Returns one contact saved by a Chatling chatbot, with name, email, phone and company.
- Get Conversation
Returns one Chatling conversation with its contact and messages.
- List Chatbots
Returns the chatbots in your Chatling project, with each chatbot's ID, name and visibility.
- List Contacts
Returns the contacts and leads saved by a Chatling chatbot.
- New Document Within a Firestore Collection
Triggers when a new document is added to a Cloud Firestore collection.
- Create Cloud Firestore Document
Creates a new document within a Cloud Firestore collection.
- Delete Cloud Firestore Document
Deletes a Firestore document by its collection path and document ID.
- Find Cloud Firestore Document
Finds a document using a Structured Query within a collection.
- Get Cloud Firestore Document
Returns one Firestore document by its collection path and document ID.
- Run Cloud Firestore Query
Returns the Firestore documents in a collection that match a field filter.
- Update Cloud Firestore Document
Updates the given fields on an existing Firestore document.
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
Chatling and Firebase / Firestore, answered
What can start an automation from Chatling?
Any of Chatling's 2 triggers in the catalog, including New Contact/Lead and New Conversation. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Firebase / Firestore when something happens in Chatling?
Any of Firebase / Firestore's 6 actions, including Create Cloud Firestore Document, Update Cloud Firestore Document, Find Cloud Firestore Document and Get Cloud Firestore Document. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Firebase / Firestore to Chatling?
Yes. When something happens in Firebase / Firestore, your agent can act in Chatling too. This page covers both directions: Firebase / Firestore's triggers and Chatling's actions are listed here as well.
Do I have to build a connector for Chatling or Firebase / Firestore?
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 Chatling and Firebase / Firestore 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.