Inrō's MCP server connects your Instagram DM automation to Claude and ChatGPT. Query contacts, get campaign insights, and manage your account in plain language.
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TL;DR
TL;DR
You're already automating your Instagram DMs. Scenarios are running, campaigns are going out, contacts are coming in. But when something isn't working, or you need to act on what's happening in your account, you're still doing it manually. Digging through contact records. Trying to remember which campaign went to which segment. Figuring out which scenario fits your next launch.
Inrō's MCP server connects your Instagram DM automation account directly to Claude or ChatGPT. Ask questions about your data. Get your AI agent to handle the tasks. Stop doing either of those things yourself.
Inrō's MCP server is a live connection between your Instagram DM automation account and an AI agent like Claude or ChatGPT. Once connected, your AI agent can read everything in your Inrō account and take actions on your behalf, using plain language, with no need to navigate the platform manually.
This matters for two reasons. First, most Instagram automation users have more data in their account than they can easily read. Contacts accumulating across folders, campaigns sent and forgotten, scenarios running in the background with no clear picture of what is working. The MCP connection makes that data queryable. Second, a lot of account management tasks are repetitive and manual: moving contacts, creating folders, setting up campaigns, triggering scenarios. The MCP connection makes those tasks delegatable.
Inrō's MCP server gives your AI agent access to 25 tools across six areas of your account.
The first thing most automation users want when they connect their account to an AI agent is clarity. Not strategy advice. Not generic tips. Just a clear picture of what is actually happening.
Inrō's MCP server makes your interaction data queryable in plain language. Here is what that looks like in practice:
These answers exist in your Inrō account right now. The MCP connection means you can get them in seconds, in the same conversation where you decide what to do next.
The second use case is less about understanding and more about doing. Inrō's MCP server gives your AI agent write access to your account, which means it can execute tasks on your behalf once you approve them.
For scenario creation, the MCP server works with Inrō's existing template library: your AI agent can recommend the right template and create a scenario from it. If your use case goes beyond what the library covers, Inrō's built-in scenario builder accepts a plain-language description and generates a fully custom automation directly inside the platform.
Write actions default to "Needs approval" in Claude's permission settings. Your AI agent will always show you what it is about to do before executing.
For agencies managing Instagram automation across multiple client accounts, the combination of data querying and task delegation compresses hours of account management into a single conversation.
A typical audit that previously required opening each client account manually now looks like this in Claude:
Inrō executes each action. The account manager reviews and approves. Each client organisation requires a separate MCP connection: switch accounts in Inrō, re-authorise the connector, and the agent has full access to that client's data.
For a broader view of how Inrō connects to your existing tools and workflows, see Inrō's integrations overview.
Setup for Claude takes under 5 minutes and requires no technical knowledge.
https://api.inro.social/mcp.list_contacts, get_campaign, and list_scenarios can be set to "Always allow." Keep write tools like send_message, send_campaign, and trigger_scenario on "Needs approval."For ChatGPT, setup uses Developer Mode (available on Plus, Business, Enterprise, and Edu plans). OAuth endpoints are auto-discovered from Inrō's server, so no manual configuration is needed. ChatGPT's MCP support is currently in beta.
Inrō's MCP server is a connection that gives AI agents like Claude and ChatGPT live access to your Instagram DM automation account. Through 25+ tools, your AI agent can query contacts, campaigns, scenarios, folders, and conversation history in plain language. It runs through Meta's official API and is the first MCP server built specifically for Instagram automation.
You can ask about any interaction stored in Inrō: who commented and triggered a scenario, who DMed you or received a DM from you, which contacts opened or clicked a campaign, what folder a contact is in, and the full automation history for any individual contact. The MCP server pulls live data, not estimates.
The MCP server gives your AI agent access to Inrō's template library and can recommend the right scenario for your use case. It cannot generate custom scenarios from a free-text prompt. For fully custom automations, Inrō's built-in scenario builder accepts a plain-language description and generates the scenario directly inside the platform.
Yes. Inrō's MCP server runs through Meta's official API. Write actions require your approval by default through Claude's per-tool permission controls. There is no sandbox mode, so reviewing write actions before confirming is recommended.
Generic Instagram MCP tools connect to Instagram's native API and surface post, comment, and basic profile data. Inrō's MCP server exposes your full automation stack: contact history, campaign performance, scenario library, CRM folders, and DM conversation records. This is the data layer that matters for anyone running Instagram automation at scale.
No. Setup for Claude requires pasting a URL into the custom connector settings and clicking Authorize. ChatGPT's beta setup takes a few more steps but is also entirely no-code.
Yes. Each Inrō organisation requires a separate MCP connection. Switch accounts in Inrō, re-authorise the connector in Claude or ChatGPT, and the agent has access to that client's data. There is no limit on the number of organisations you can connect across separate sessions.
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