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PostMcpAi

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• Updated Sep 2, 2026, 03:10 AM

PostMcpAi is an AI-powered social media publishing platform that leverages the Model Context Protocol (MCP) to let AI agents write, schedule, and publish content across seven social networks.

Use Cases ▼
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Automating social media posting for AI agents via MCP

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Generating platform-specific posts from a single idea

03

Scheduling content across LinkedIn, X, Meta, and Threads

04

Collaborating with teams on social media calendars and approvals

05

Building custom publishing workflows with the REST API

06

Integrating ChatGPT or Cursor with social media posting

What Problem It Solves ▼

PostMcpAi solves the problem of managing social media across multiple networks by using AI agents to automatically create, schedule, and publish platform-specific content. It reduces manual effort, ensures consistent brand voice, and lets users maintain oversight through approval and scheduling tools.

Key Features ▼
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Works with multiple AI assistants via MCP

✓

Supports seven social networks

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Visual calendar for scheduling

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Team collaboration and approval workflows

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Open-source MCP server and REST API available

Overview

PostMcpAi is an AI-powered social media publishing platform that leverages the Model Context Protocol (MCP) to let AI agents write, schedule, and publish content across seven social networks. It offers 16 MCP tools that can be used by ChatGPT, Cursor, or any MCP-compatible client. The platform includes a built-in agent that takes plain-English instructions and generates network-specific posts, a visual scheduling calendar, brand memory, and team collaboration features.

Full Description ▼

The service is built on an open-source social media MCP server, and a REST API is also provided for developers who want to integrate social publishing into their own products. Users can connect their social accounts via OAuth, maintain control through approval workflows, and manage all posts from a unified dashboard. PostMcpAi aims to simplify multi-network social media management by combining AI content generation with scheduling and automation.

Pros & Cons

Pros

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Works with multiple AI assistants via MCP

+

Supports seven social networks

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Visual calendar for scheduling

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Team collaboration and approval workflows

+

Open-source MCP server and REST API available

Cons

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Pricing not transparent (not shown on homepage)

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Limited to seven social networks

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Requires an AI agent or API for full automation

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No native mobile app mentioned

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