Profiles and preferences
See every connected profile, and save the tone, hashtag style, and emoji rules you like so each session starts on brand.
- list_profiles
- get_user_preferences
- save_user_preferences
MCP server
Connect PublishBuddy to Claude, Cursor, or any MCP client. Ask for your top posts, draft next week's content, and schedule it, all without leaving the chat.
Endpoint: https://api.publishbuddy.com/mcp
What were my top 3 posts last month? Draft something in the same style for Thursday evening and schedule it.
Your top three were all short videos posted between 6 and 8 pm. I drafted a post in that style and scheduled it for Thursday at 7 pm on your Instagram profile. Want a first comment with hashtags on it?
How it works
MCP (Model Context Protocol) is the open standard AI assistants use to call tools in other apps. PublishBuddy hosts an MCP server, the same one our in-app AI Agent runs on. Connect your own client and it gets the same 22 tools.
In the app, open User Settings, then Login & Security, and generate an API key with MCP access. You see the value once, so store it somewhere safe.
Point your client at the PublishBuddy MCP endpoint and send the key as a Bearer token. Copy-paste configs for Claude Code, Cursor, VS Code, Windsurf, and Claude Desktop are in the docs.
“What should I post this week?” “Schedule my best format for Thursday at 7 pm.” The assistant picks the right tools, and your client asks before it runs one.
What it can do
Every tool respects the same permissions you have in the app. Read what you can read, change what you can change.
See every connected profile, and save the tone, hashtag style, and emoji rules you like so each session starts on brand.
Create drafts with captions, media from your library, and labels. Update or delete them, and list what is drafted or already scheduled.
Schedule a draft for an exact date and time, or drop it into the profile's queue and let the next free slot take it.
Engagement summaries for a profile or the whole workspace, top or worst posts by any metric, best times to post, and hashtag performance.
Generate an image for a post, edit it with a prompt, and check on the job. Finished images land in your media library.
Find out what drove a post's performance, search your library by colors, objects, or on-screen text, and turn reference posts into a creative brief.
Use cases
The dashboard is still there. MCP is for the moments when typing a sentence beats clicking through four screens.
“Look at last month, tell me what worked, draft five posts in that style, and queue them.” One prompt, five scheduled posts.
Pull August engagement for a client while your assistant drafts the monthly update, so the numbers land in the document without a copy-paste.
In Cursor or Claude Code, publish the release note or the changelog post as the last step of shipping, from the same window you shipped in.
“Which hashtags did best on my worst-performing month?” Chain the analytics tools together and let the assistant do the cross-referencing.
# Claude Code, one line
claude mcp add --transport http publishbuddy https://api.publishbuddy.com/mcp \
--header "Authorization: Bearer $PUBLISHBUDDY_TOKEN"
# Then, in the chat
> List my profiles and tell me which one has the most scheduled posts.
Guardrails and plans
MCP access is included on Pro and Business, and nothing about it loosens the rules your workspace already has.
The public REST API covers posts, media, and analytics with the same personal access tokens. Use both: MCP for the conversation, the API for the pipeline.
Setup steps, per-client configs, and the tool reference live at docs.publishbuddy.com.
Quick answers to the questions we get asked most. Can't find what you're looking for? Reach out to our support team and we'll get back to you promptly.
Model Context Protocol is an open standard that lets AI assistants call tools inside other apps. PublishBuddy hosts an MCP server, so any compatible assistant can read your data and take actions on your behalf, with your permission for each step.
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