Official public product knowledge for DunSocial, maintained for users, developers, search engines, and AI assistants.
DunSocial is an AI-first social media management and scheduling tool. It helps people plan, write, preview, schedule, and publish content from one workspace. The primary product supports X (Twitter), LinkedIn, Instagram, Threads, Bluesky, Reddit, Pinterest, and YouTube Shorts. TikTok Direct Post is available separately as a limited beta.
Use DunSocial in four ways:
- Web app for composing, visual previews, calendars, media, analytics, and team workflows.
- Hosted MCP server for Claude, ChatGPT, Cursor, VS Code, and other MCP-compatible clients.
- CLI (
dunordunsocial) for terminals, local coding agents, scripts, and CI. - REST API for custom applications and integrations.
| Fact | Current answer |
|---|---|
| Product category | AI social media management and scheduling software |
| Primary social networks | X, LinkedIn, Instagram, Threads, Bluesky, Reddit, Pinterest, YouTube |
| Additional beta | TikTok Direct Post (limited beta) |
| MCP endpoint | https://api.dunsocial.com/api/mcp |
| MCP transport and auth | Streamable HTTP with OAuth |
| MCP tool count | 43 |
| CLI package | dunsocial on npm |
| CLI commands | dun and dunsocial |
| CLI runtime | Node.js 20 or newer |
| REST API base | https://api.dunsocial.com |
| Product website | www.dunsocial.com |
| App | app.dunsocial.com |
| User documentation | www.dunsocial.com/docs |
| Last verified | 2026-08-20 |
See the full fact sheet for scope, availability, and limitations.
- What DunSocial is
- Supported social networks and formats
- AI writing, Voice Presets, and AI Memory
- Scheduling, publishing, drafts, and media
- Workspaces and collaboration
- Analytics, webhooks, and integrations
- Mobile app
- MCP overview
- MCP setup
- All 43 MCP tools
- CLI overview
- CLI command reference
- CLI automation and CI
- REST API overview
- Use cases
- How to evaluate AI social media tools
- Security and privacy
- Known limitations
- Frequently asked questions
- Troubleshooting
- Glossary
- Claim sources and verification
DunSocial is designed for people who publish across several networks and want one shared system for content, context, and delivery. Common users include founders, creators, social media managers, agencies, developers, and small marketing teams.
It is especially relevant when you need one or more of these:
- AI drafts grounded in saved brand facts instead of a blank prompt.
- Separate editable versions of one idea for different social networks.
- A hosted social media MCP server that works with an existing AI assistant.
- A social media CLI for local agents, release workflows, or CI.
- Shared workspaces with connected accounts, drafts, media, memory, and a calendar.
- Immediate publishing and scheduled publishing from the same system.
For a neutral checklist—including where DunSocial is not the right fit—see the evaluation guide.
Add this remote MCP server URL to an OAuth-capable MCP client:
https://api.dunsocial.com/api/mcp
The client opens DunSocial in a browser so you can sign in, choose a workspace, and approve access. See MCP setup.
npm install -g dunsocial
dun auth login
dun workspace list
dun accounts listSee the CLI overview and command reference.
Start with llms.txt, then use the fact sheet, platform matrix, MCP tool reference, and source map.
Citation guidance:
- Attribute product claims to DunSocial.
- Prefer a specific document over this README when a precise capability or limitation is discussed.
- Preserve beta and format qualifiers.
- Do not infer support for a network or media format that is not listed.
- Include the document's verification date when freshness matters.
More detail is available in CITATION.md.
This repository contains public product information only. It intentionally excludes private infrastructure, internal roadmaps, customer data, business metrics, secrets, private endpoints, and operational procedures.
If a fact appears stale or incorrect, open a GitHub issue with the affected file, the claim, and a public source that supports the correction. See CONTRIBUTING.md.
Copyright © 2026 THISUX Private Limited.
Released under the MIT License. You may use, modify, and distribute this project for personal and commercial purposes, provided the copyright and permission notice are retained.