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Planable is the best client-facing social media tool we've ever used and we've used a lot.
You're managing eight clients. Each has three to five social channels. You post three times a week per channel. That's between 72 and 120 pieces of content per month, just for one person to track, write, review, approve, and schedule. Now add a second client. And a...
Jul 20, 2026
Every week, social media teams repeat the same workflow: draft a post, request feedback, revise the copy, secure approval, and schedule the final version across multiple platforms.
That process becomes difficult to manage when a team publishes dozens of posts across LinkedIn, Instagram, Facebook, TikTok, and other channels. Each post may involve different formats, reviewers, approval rules, and publishing dates. As the volume grows, teams spend more time coordinating the workflow than creating content.
A social media AI agent can handle many of those handoffs while keeping people in control of what gets published.
By connecting Claude with Planable, you can build an agent that:
The agent manages the repetitive steps, but the team retains final approval. This guide explains how to build that workflow using Claude as the reasoning layer and Planable as the content collaboration and publishing layer.
A social media AI agent is an LLM-powered system that can interpret a goal, decide which actions are required, use external tools, evaluate the results, and continue working until it completes the task or requires human input.
A standard AI writing tool usually generates copy and stops. An AI agent can generate the copy, create the post in a social media management platform, send it for approval, check its status, and take the next permitted action.
In this setup:
For example, you might give Claude the following goal:
“Draft product launch posts for LinkedIn and Instagram, add them to Planable, and send them for approval.”
Claude can then:
This workflow follows a continuous cycle:
Perceive: Understand the goal and inspect the available context.
Reason: Decide which task or tool should be used next.
Act: Call the relevant Planable tool.
Observe: Check the result and determine whether another action is needed.
This perceive, reason, act, and observe cycle is central to agentic workflows. It allows the model to respond to changing conditions instead of relying on a fixed sequence of predefined steps.
Agent-based automation is most useful when the workflow contains variable inputs, multiple tools, approval checkpoints, or tasks that cannot be predicted completely in advance. For simpler and fully predictable processes, a conventional automation may be easier to build and maintain.
Anthropic’s Building Effective Agents guide provides additional background on common agent patterns and when to use them.
A standard AI writing tool generates text and hands control back to you. You copy the output, open your social media platform, paste it in, and manually push it through your approval flow.
An agent connected to Planable does all of that itself. One goal in. Posts drafted, submitted, and queued for approval out.
Three things, and none of them require a developer.
The connection uses a standard called MCP (Model Context Protocol), an open protocol that lets Claude talk to external tools through a URL, without any code or custom integration work on your end.
Once connected, Claude has access to your Planable workspace: your pages, your approval queue, your content.
That’s it. No code, no terminal commands, no API keys to paste into files. Once you authorize, Claude can see your Planable workspace and act on it.
A note on permissions: Claude can only do what you can do. If you manage three client workspaces in Planable, Claude can access all three. If you don’t have the Analytics add-on on a workspace, Claude won’t be able to pull analytics for it either. Also, if you don’t have approve permission, it can’t approve. Your plan and workspace permissions always apply. The agent isn’t a workaround for access you don’t already have.
Connection details worth knowing: Your connection expires after 8 hours of inactivity and refreshes automatically. Your authorization is valid for 180 days. After that, you’ll be prompted to reconnect automatically.
Once the connection is active, Claude has access to multiple tools across four categories:
The approval workflow tools map directly onto Planable’s built-in social media approval workflow, so Claude participates in your real review process.
Once Claude is connected to Planable, you use it the same way you’d message a very capable colleague with specific instructions. No code, no commands, just plain-language prompts describing what you want done.
Claude figures out the steps, calls the right tools in Planable, and reports back.
Here’s what that looks like in practice.
Your first prompt can be as simple as:
“Show me my Planable workspaces and which social media pages are connected to each one.”
Claude queries your workspace, finds the connected pages, and summarizes what it sees. That output tells you exactly how to address each client account and channel in future prompts, so you can say “Client A’s LinkedIn page” and have Claude know exactly what you mean.
“Draft a LinkedIn post for [Client Name] announcing [topic]. Keep it professional, under 200 words, and add it to the approval queue in Planable.”
Claude drafts the post and adds it to the client’s Planable queue. Your reviewer opens Planable and sees it sitting there: ready to approve, edit, or send back with feedback. No copy-pasting, no tab-switching.
“Take this campaign brief and create posts for [Client Name]’s LinkedIn, Instagram, and X pages. Adapt the tone and length for each channel and add them all to the approval queue.”
Claude reads the brief, writes platform-specific versions, adjusting length, hook, and structure per channel, and adds each to the right Planable page.
Your reviewer sees all three in one place and can approve or request changes per channel without juggling separate docs.
Planable social post approval dashboard
“A story just broke about [topic]. Draft a reactive LinkedIn post from [Brand]’s perspective, timely, professional, under 1,200 characters, and add it to the Expedited Review page.”
Claude finds the right page in Planable, creates the draft, and it’s in your queue within seconds. Fast enough to catch the moment. Your reviewer approves from mobile or desktop, and the post is ready.
The common thread: you describe the outcome in plain language, and Claude handles the workflow steps. You don’t need to know how it’s calling Planable under the hood, that’s the point.
The prompts above are things you trigger. But Claude can also run on a schedule, with no nudge required. Here is an example:
“Every first Monday of the month, pull analytics across all my Planable workspaces and send a summary to our Slack channel.”
Set it once, and Claude handles it automatically. The report lands in Slack or your inbox on schedule, the audit runs without you having to remember. That’s where an AI colleague starts feeling less like a tool and more like a team member that actually takes things off your plate.
The common thread: you describe the outcome in plain language, and Claude handles the workflow steps. You don’t need to know how it’s calling Planable under the hood, that’s the point.
The agent doesn’t post on its own, and for most teams, it shouldn’t.
Nearly 4 in 5 MCP integrations are set up with write permissions, according to Planable data: teams aren’t just querying their content calendar, they’re creating and scheduling posts through their AI agent. That level of access makes a proper approval layer essential for most teams.
The design pattern that handles this is called human-in-the-loop: a human reviews and approves agent outputs before they take effect, preserving quality control without requiring the human to do all the drafting work. It applies here just as directly as it does in any other autonomous system.
When a reviewer opens Planable and clicks Request changes, they can leave a comment with specific feedback. You can then paste that feedback into your next Claude prompt and ask it to revise:
“The reviewer left this note on the LinkedIn draft: ‘Too formal, make it more conversational and add a question at the end.’ Here’s the current draft: [paste draft]. Please revise it and update the post in Planable.”
Claude incorporates the feedback, revises, and updates the draft. The whole revision cycle stays inside Planable, visible to the whole team, no external docs needed.
Planable post review with comments and edits.
Here are three workflows that agencies and content operations teams are already building with Planable and Claude.
Agency content ops teams spend a lot of time translating one campaign brief into platform-specific posts, manually, channel by channel. The agent collapses that into a single prompt.
Hand Claude a campaign brief, goals, key message, tone, and links to assets. It writes platform-specific posts for each channel and adds them all to your Planable queue, organized by page. Your team reviews everything in one session instead of five separate drafting rounds.
A working prompt:
“Here’s the brief for [Client]’s Q3 campaign: [paste brief]. Draft posts for their LinkedIn, Instagram, and X pages. Adapt the tone and format for each channel, and add them all to the approval queue.”
Within seconds, all the drafts are in your Planable queue, sorted by platform. Your reviewer approves, requests changes, or moves them to the calendar, without opening another tool.
Every feature launch comes with the same problem: a brief lives in Notion, copy gets written in five different voices, and by the time the third asset goes out, half the team has stopped reading the source doc.
The agent collapses the gap between brief and consistent output. Share your campaign brief (a Notion link, a doc, or a paste) and Claude extracts the campaign frame, product facts, persona angles, channel priorities, and hard constraints into a skill your whole team can invoke.
From that point on, anyone can generate aligned copy without re-reading the brief every time.
A working prompt:
“We’re launching [Feature] next week. Here’s the campaign brief: [link or paste]. Build a copy skill covering the campaign frame, product facts, a persona message for each ICP (pain → change → campaign line → channel), competitive positioning, channel priority table, and what we should never claim. Once it’s saved, I want to be able to say ‘write the reactivation email for the Leader angle’ and get something on-brief without having to re-explain the product.”
Once the skill is saved, any teammate can generate launch emails, social posts, in-app nudges, or sales enablement, all anchored to the same brief, and without touching the source document again.
Many marketing teams decide which blog posts to repurpose based on intuition or recent performance. They then rewrite the content manually for each channel, often producing generic copy that doesn’t reflect the voice of the person publishing it.
A more effective approach is to start with content that AI search engines and answer platforms are already citing. If a topic is consistently referenced by AI systems, it’s a strong signal that the content is useful, well-structured, and worth expanding into additional formats.
To automate this workflow, connect:
The agent follows a three-step workflow:
A working prompt:
“Run repurposing research, prioritize the opportunities, and post the topic map to Slack. After I’ve assigned authors, draft topic [X] for [Author] on LinkedIn and save it to Planable for review.”
The result is a content pipeline driven by AI visibility signals instead of guesswork. Your team focuses on reviewing and refining high-priority ideas, while each draft is tailored to the intended author and enters the approval workflow ready for feedback.
As Aleyda Solis, international SEO consultant at Orainti, put it in Search Engine Journal:
“A personalized editorial and optimization workflow is required to ensure quality, originality, and expertise by integrating unique brand insights and first-party data [when using AI for content at scale].”
That holds for social too. Here’s what actually moves the needle.
No. The connection between Claude and Planable is set up through Claude’s Connectors settings. No code, no terminal, no API files to edit. Once you’ve added the Planable connector and authorized it with your Planable account, you interact with it through regular Claude conversations using plain language.
Yes, with a small caveat: each team member sets up the connector in their own Claude account, since the connection is tied to an individual’s Planable login. Each person can only access the workspaces and pages they already have permission to in Planable. If you’re on a Claude team or Enterprise plan, an admin can add the connector organization-wide, making it available to everyone without individual setup.
Planable exposes a connector at https://mcp.planable.io/mcp using an open standard called MCP (Model Context Protocol). AI tools like Claude connect to that endpoint and get access to Planable’s full action set (creating posts, managing approvals, adding comments, and querying workspaces) without any custom integration code.
Two costs to account for. Your Claude plan covers the AI side. Check Anthropic’s pricing for current rates. Your Planable plan covers the other side. The MCP connector is available on all plans, including the free trial. There are no per-connection or per-action fees on the Planable side.
A working pipeline has four stages: a brief, URL, or prompt goes to Claude as input; Claude drafts platform-specific posts using the brand guidelines you provided; those drafts appear in Planable for human review and approval; approved posts go live through Planable’s publishing tools. With the Planable connector active, Claude handles the first three stages from a single conversation, with no additional tools required.
Both can write social media copy. Claude’s practical advantage for this specific workflow is native MCP support. It connects to Planable and other tools directly, without a plugin layer or intermediary. ChatGPT can also connect to Planable via the Apps section in ChatGPT (search “Planable” and connect). The setup differs slightly, but both work. For the Planable-specific steps, the full MCP setup guide covers both.
You’ve got a working setup that drafts, routes for approval, and publishes, without anyone copy-pasting between tabs.
For an operations lead managing multiple clients and channels, that’s a meaningful shift in how content actually gets out the door.
The next step is making it yours. If you manage multiple clients, start each session by asking Claude to list your Planable workspaces, then address each client by name in your prompts.
If you want faster reactive content, save a prompt template for your most-used formats and paste it when news breaks.
And if you want the output to get sharper over time, paste revision notes from Planable’s approval thread back into your next prompt. Claude incorporates that feedback the same way a writer would.
Not on Planable yet? Get started, the MCP connector is live on every plan.
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