Integration
Connect Metricool to DocsBot AI
When New GMB Review fires in Metricool, your agent runs Add lead in DocsBot AI. 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 Metricool and DocsBot AI 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 Metricool can start in DocsBot AI
When New GMB Review in Metricool
then Add lead in DocsBot AI
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 Metricool and DocsBot AI
Triggers and actions 3 triggers · 19 actions
- New GMB Review
Triggers when a new review is posted on the brand's Google Business Profile.
- New Inbox Conversation (By Network)
Triggers when a new conversation appears in the Metricool inbox for the chosen social network.
- New Post Comment (By Network)
Triggers when a post on the chosen social network receives a new comment in the Metricool inbox.
- Add Post to Autolist
Adds a new post to one of your Metricool autolists.
- Get Your Network Metrics Daily
Returns the day's metric values for one of your connected networks (category), such as followers or posts.
- Reply Conversation
Sends a reply message in a Metricool Inbox conversation on a connected social network.
- Reply GMB Review
Publishes a reply to a Google Business Profile review, replacing any existing reply.
- Reply Post Comment
Replies to a comment on a social post from the Metricool Inbox.
- Schedule Post
Creates a scheduled post in the Metricool planner for one or more connected social networks.
- Add bot
Creates a new DocsBot bot in a team, optionally copying sources from an existing bot.
- Add lead
Captures or updates a lead for a DocsBot conversation, merging the supplied contact details (email, name, company and so on) into the lead record.
- Add source
Creates a new training source (URL, sitemap, document, Q&A and more) on a DocsBot bot.
- Ask Question (Legacy)
Asks a DocsBot bot a question using the legacy Chat API and returns the answer, its sources and the updated chat history.
- Chat Agent Message (Recommended)
Sends a message to a DocsBot bot in a stateful conversation and returns the agent's answer, sources and conversation history.
- Create Web Source
Adds a web-based training source (a page URL, sitemap, RSS feed or YouTube video) to a DocsBot bot and returns the created source.
- Delete bot
Permanently deletes a bot from a DocsBot team.
- Delete lead
Deletes one captured lead record from a DocsBot bot.
- Delete source
Deletes a training source from a DocsBot bot. The source may still appear in chat answers for a few minutes afterwards.
- Get bot
Returns one DocsBot bot with its settings, model, status and source counts.
- List bots
Returns the bots in a DocsBot team, optionally filtered by text or privacy and sorted.
- Semantic Search
Searches a bot's trained content and returns the most relevant source chunks for a natural-language query.
- Update bot
Updates the settings of an existing DocsBot bot, such as its name, description, prompt, model, privacy and widget appearance. 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
Metricool and DocsBot AI, answered
What can start an automation from Metricool?
Any of Metricool's 3 triggers in the catalog, including New GMB Review, New Inbox Conversation (By Network) and New Post Comment (By Network). Describe the moment in plain language and your agent picks the right one.
What can your agent do in DocsBot AI when something happens in Metricool?
Any of DocsBot AI's 13 actions, including Create Web Source, Update bot, Add bot and Add lead. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from DocsBot AI to Metricool?
DocsBot AI has no triggers in the catalog today, so automations start in Metricool. If you need the other direction, ask: your agent reads DocsBot AI's API documentation and adds it.
Do I have to build a connector for Metricool or DocsBot AI?
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 Metricool and DocsBot AI 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.