Instagram MCP Server: Analyze and Automate Instagram DMs with Claude & ChatGPT (2026)

What is an Instagram MCP server?

An Instagram MCP server is an implementation of the Model Context Protocol (MCP), Anthropic's open standard, that connects an AI assistant like Claude or ChatGPT directly to your Instagram account. Once connected, you can analyze your account and act on it in plain language, with no dashboard to navigate.

There are two very different kinds of Instagram MCP server, and the difference matters:

Analytics-only MCP servers connect to Instagram's Insights data so your AI can read performance metrics like Reels views, Stories engagement, and follower growth. They are read-only, and most cannot see your DMs or run any automation. Tools like Porter, Adzviser, and Insightful Pipe sit here.

Full-stack automation MCP servers connect to everything that runs your Instagram: your posts and their performance, your DM conversations, your contacts and CRM folders, your campaigns, and your scenarios. They can both analyze your account and take actions on it. Inrō's MCP server is built for this, and it is the only Instagram MCP that combines content performance analysis with DM automation and CRM.

Put simply: an analytics MCP can tell you which Reel got the most views. Inrō can tell you which content is converting, show you who it brought into your funnel, move those contacts into a follow-up folder, and draft the campaign to re-engage them, all in one conversation. It analyzes and it acts.

What Inrō's MCP server actually does

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.

Use it to understand what's happening in 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:

Understanding your content performance

Inrō's MCP server can read the content of your Instagram posts, Reels, and Stories and analyze how each one performed, so your AI agent answers content questions directly, without you opening Instagram Insights:

• "Which of my last 10 posts drove the most DMs and new contacts?"
• "Read my recent Reels and tell me what the top performers have in common."
• "Which post led to the most campaign opt-ins this month? What was the caption?"
• "Compare engagement and conversions across my last five posts and tell me which topic is working."

Most Instagram MCP servers stop at surface metrics like views and likes. Because Inrō also sees who each post brought into your funnel and what they did next, it connects content to outcomes: not just "this Reel got 40,000 views," but "this Reel got 40,000 views, 600 of them commented your keyword, and 90 became leads." That is the difference between reporting and insight you can act on.

Understanding your contacts:

• "Show me all contacts who entered my lead magnet scenario this week."
• "Where is [contact name] in my funnel? Which folder are they in and what did they receive?"
• "Find contacts who replied to my last campaign but haven't been added to a follow-up folder."
• "Search for contacts who came in through story replies in the last 30 days."

Understanding your campaigns:

• "What were the open rates on my last five campaigns? Which performed best?"
• "Which campaign had the most link clicks? What was the message?"
• "Show me everyone who received my March campaign and didn't click."

Understanding your scenarios:

• "List all my active scenarios. Which ones haven't triggered in the last 30 days?"
• "Which scenario has triggered the most times this month?"

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.

Use it to delegate account tasks to your AI agent

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.

Managing contacts and folders:

• "Create a folder called 'Hot Leads April' and move these 15 contacts into it."
• "Find all contacts tagged as 'interested' who aren't in any campaign yet and add them to my nurture folder."
• "Update the contact record for [name] to add the property 'VIP'."

Setting up and sending campaigns:

• "Create a new DM campaign for my April launch targeting contacts in my 'warm leads' folder."
• "Send my re-engagement campaign to everyone who opened but didn't click my last message."
• "Update the copy on my last campaign draft before I send it."

Working with scenarios" section:

"Create a new scenario based on [your goals]."

For scenario creation, the MCP server supports full custom scenario generation. Describe what you want to your AI agent in plain language, it sends your description to Inrō's scenario builder, which generates the automation and alerts you once it's ready. You'll find it waiting in your account. No manual setup required, you can directly access your scenario and edit it according to your specific message style and objectives.

Pro tip: Before sending your description to the builder, ask Claude or ChatGPT to help you refine and optimize the prompt first. A clearer description produces a better-built scenario on the first pass.

Sending individual messages:

• "Send a DM to [contact name] with this message."
• "Message everyone in my 'no reply' folder with this follow-up."

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.

How agencies use the MCP connection at scale

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:

• "Find all contacts across my folders who haven't been messaged in 14 days."
• "Which of my active scenarios have triggered fewer than 10 times? List them."
• "Create a re-engagement campaign for the 'cold leads' folder and draft the message."

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.

Inrō vs other Instagram MCP servers

The takeaway: analytics MCPs report on metrics and stop there. Inrō reads your content, ties performance to the leads and sales each post generated, and then lets your AI agent act on it, the only Instagram MCP that analyzes and automates in one place.

How to connect Inrō to Claude or ChatGPT

Setup for Claude takes under 5 minutes and requires no technical knowledge.

1. Copy your MCP Server URL. In Inrō, go to your account menu (bottom-left), open Integrations & API, find the MCP Server card, and click Copy. The URL is https://api.inro.social/mcp.
2. Open Claude's connector settings. Go to claude.ai, click your profile icon, then go to Settings > Connectors. Click Add custom connector.
3. Paste the URL and name the connector. Enter the URL, name it "Inrō", and click Add.
4. Authorize access. Click Connect, review the Inrō authorization screen, and click Authorize.
5. Set tool permissions. Read tools like 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."
6. Open a new chat and ask your first question.

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.

Set up Inrō's MCP connection in under 5 minutes.

Connect your automations to an AI agent that can actually read it, query it, and manage it for you.

Start for free

FAQs

Is there an Instagram MCP server for Claude?‍

Yes. Inrō's Instagram MCP server connects Claude (and ChatGPT) to your Instagram account through Meta's official API. It exposes 25 tools so Claude can analyze your content performance, read your DM conversations and contacts, and run your campaigns and scenarios, all in plain language. Setup takes under 5 minutes.

Can Claude tell me what Instagram content is performing well?‍

Yes. Inrō's MCP server lets Claude read your posts, Reels, and Stories and analyze their performance, including the DMs, leads, and conversions each one generated. You can ask "which content is driving the most leads this month" and get an answer tied to real funnel outcomes, not just views and likes.

Can I connect my Instagram DMs to Claude?‍

Yes. Unlike analytics-only Instagram MCP servers that read Insights data and cannot see messages, Inrō's MCP server gives Claude access to your DM automation: conversation history, who you messaged, what they received, and where each contact sits in your funnel. Claude can also send messages and trigger scenarios, with write actions defaulting to "needs approval."

How do I connect Instagram to Claude?‍

Copy Inrō's MCP server URL (https://api.inro.social/mcp), open Claude's Settings, then Connectors, then Add custom connector, paste the URL, name it "Inrō," and authorize. Set read tools to "always allow" and keep write tools on "needs approval." Then ask Claude your first question about your Instagram account.

What is the best Instagram MCP server for analyzing and automating Instagram?‍

Inrō is the only Instagram MCP server that both analyzes content performance and runs DM automation and CRM. Analytics MCPs (Porter, Adzviser, Insightful Pipe) cover Insights reporting but not DMs or automation. Inrō reads your content, ties it to leads and sales, and lets Claude or ChatGPT act on your contacts, campaigns, and scenarios.

What is Inrō's MCP server for Instagram DM automation?

‍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.

What kind of interaction data can I query through the MCP connection?

‍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.

Can my AI agent create or modify scenarios?

‍Yes. Describe the automation you want in plain language and your AI agent passes it to Inrō's scenario builder, which generates the scenario inside your account and alerts you when it is ready. The MCP can also search Inrō's template library and recommend a scenario for your use case. For best results, ask Claude or ChatGPT to refine your description before sending it to the builder.

Is it safe to give Claude or ChatGPT access to my automation account?

‍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.

What is the difference between Inrō's MCP server and a generic Instagram MCP tool?

‍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.

Do I need coding skills to set up the connection?

‍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.

Can agencies use this across multiple client accounts?

‍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.

Can my AI agent create or modify scenarios?

Yes. Through the MCP connection, you can describe any automation you want in plain language to Claude or ChatGPT. Your AI agent sends that description to Inrō's scenario builder, which generates the scenario for you. You're alerted when it's done and find it ready in your account — no manual configuration needed. For extra precision, you can ask Claude or ChatGPT to help you refine your description before it's sent to the builder, which typically produces a more accurate result.

I read that Instagram DMs aren't accessible to AI tools. How does Inrō access them?

‍Analytics MCP servers connect to Instagram's Insights endpoints, which do not include messaging, which is why those tools cannot see your DMs. Inrō is different. It is a Meta-approved Instagram automation platform that already manages your DM conversations through Meta's official Messaging API, with your authorization. The MCP server exposes that existing, permitted data, your conversations and your content performance, to Claude or ChatGPT. You are connecting an AI agent to the Inrō account you already control, not granting raw access to your inbox.