October 5, 2026 · 5 min read
MCP servers you can connect to Claude for social media content

You can connect Claude to Kadenza for creator research and your own content on LinkedIn, Instagram and YouTube. Other social media MCP choices include Taplio, Supergrow, Metricool and Buffer, as of September 2026. The best fit depends on what you want Claude to see and help you do. If you want ideas drawn from the creators you track, plus drafts and a calendar you control, Kadenza is worth a look.
MCP is a way for your AI app to work with another app. For content, that means you can ask a question in Claude and get an answer based on information in the connected product. You can also ask for help with your content there. Our plain guide to MCP explains the term if it's new to you. You don't need to learn a list of commands to write a good brief.
Choose the job before the connection
A connection is useful when it gives your AI what it needs for a real task. Before you choose one, write down what you'd ask Claude tomorrow. You might want to see which topics did well for people in your field. Or you might have finished posts and want help putting them on a calendar. Those questions point to different products, even though both can start in the same chat.
We make Kadenza, and we've included other options because a connection alone doesn't make us the right choice. You may want a broad view of several brands or a tool focused on LinkedIn. Compare the work you need done with what each product offers, and check the plan you'd use. Don't assume that every connected app gives your AI the same information or the same choices.
Taplio and Supergrow
As of September 2026, Taplio's MCP connection works with Claude and ChatGPT for drafting, scheduling, publishing and reviewing LinkedIn content, and its page says publishing needs your clear confirmation. As of September 2026, Taplio also offers a ranked LinkedIn post library and contact lists. We'd consider it if LinkedIn is your main focus and building contacts there matters as much as writing posts.
As of September 2026, Supergrow offers MCP for Claude and ChatGPT on Pro and above, with Pro priced at $39 a month or $31 a month billed yearly. As of September 2026, its Postcast feature turns spoken chats into posts, and it can turn YouTube videos, articles and PDFs into LinkedIn posts. It belongs on your shortlist if you want to bring ideas you already have into your LinkedIn writing.
Metricool and Buffer
As of September 2026, Metricool includes a Claude MCP connector on every plan, including its free plan, for reports, content creation and scheduling, with competitor tracking also supported. It covers eleven networks as of September 2026. We'd look at it if you handle several brands or want your questions to span a wider set of social accounts. Check the features for each network you plan to use.
As of September 2026, Buffer includes its MCP connection on every plan, including Free, and supports Claude and ChatGPT. Posts made through an AI app can enter its queue as drafts or scheduled posts that you can review, as of September 2026. It's a sensible pick if you mainly need help getting finished content onto a schedule. Our Buffer comparison explains where Kadenza fits beside that choice.
What Claude gets from Kadenza
Kadenza shows the posts from the creators you track on LinkedIn, Instagram and YouTube, including which ones beat that person's usual results. Your own AI can use that research alongside your own content to help you decide what to make. You can ask it to draft a post and prepare your schedule. Every post waits for your approval, so you get to read the final version before it goes out.
The guides you offer readers can also turn interest into email leads. That gives your content a next step beyond a reaction on a post. Kadenza costs $117 a month, or $840 a year at the founding price for the first 50 members, while available. Pick it when you want the research and the leads beside your calendar, and you're happy to use your own AI for the writing.
Connect Kadenza to your AI app
In Kadenza, open API & MCP and make a key for the AI app you want to use. Choose what that key can do. Then open your AI app's connector settings and add Kadenza with this MCP server URL: https://app.kadenza.ai/api/mcp. Put the key in the connector's private sign-in settings. Never paste it into chat, even if your AI asks you to.
Follow the connection instructions inside API & MCP for your app. If its settings don't support the sign-in method shown there, pause and check the instructions before going further. A key in a chat message won't fix that. You can read what you can do with Kadenza before setup, while the connection details live in your account. Connect the social accounts you want to post from in Configure.
Start with a question you can check
Ask Claude to show the creators you're tracking on your chosen platform. Compare the answer with your Kadenza account so you know the connection works. Then try: "Show me posts that beat their author's usual results and explain what I could learn from them. Point me to the posts behind your answer." Open those examples yourself before you choose an idea. A useful answer gives you something real to read.
Next, add your own experience: "Use this topic to draft a LinkedIn post from my story below. Keep the facts as I gave them and ask me about anything missing." Paste the story, read the draft, and change any line you wouldn't say out loud. Research can help you choose a subject, but it can't supply a memory from your work. That part needs to come from you.
Give approval to the finished post
When you're happy with the draft, ask your AI to show the final text with the account and planned time. Check the image or video too, if there is one. Approve that finished version, then check it on your calendar. If you're still choosing a topic or editing a line, keep it as a draft. Connecting an AI should give you help with the work and a clear view of what you'll publish.