Kadenzo/kadenzo-mcp
by Various
MCP server for Kadenzo — schedule, manage, generate & analyze social posts across 11 networks (Instagram, TikTok, X, LinkedIn, YouTube, and more) from any AI agent.
MCP
Kadenzo/kadenzo-mcp
Added 13 July 2026
Overview
An MCP server that connects Kadenzo's social media management platform to any AI agent, enabling scheduling, posting, generation, and analytics across 11 networks including Instagram, TikTok, X, LinkedIn, and YouTube. It provides a standardized interface for AI agents to control social media workflows.
Best for
Best for
Developers building AI-powered social media management tools
Use cases
- Automate social media posting from AI agents
- Schedule posts across multiple platforms
- Analyze social media performance via AI
Notes
An MCP server that connects Kadenzo’s social media management platform to any AI agent, enabling scheduling, posting, generation, and analytics across 11 networks including Instagram, TikTok, X, LinkedIn, and YouTube. It provides a standardized interface for AI agents to control social media workflows.
0 stars on GitHub. Last updated 2026-07-13. Licensed MIT.
Use cases
- Automate social media posting from AI agents
- Schedule posts across multiple platforms
- Analyze social media performance via AI
Pros
- Supports 11 major social networks from one integration
- Works with any AI agent that uses the MCP protocol
- Written in JavaScript, easy to integrate into Node.js projects
Cons
- Zero stars on GitHub suggests very early stage or low adoption
- Requires a Kadenzo account and dependency on their API
- Limited to the features and rate limits of the Kadenzo platform
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Supports 11 major social networks from one integration
- Works with any AI agent that uses the MCP protocol
- Written in JavaScript, easy to integrate into Node.js projects
Cons
- Zero stars on GitHub suggests very early stage or low adoption
- Requires a Kadenzo account and dependency on their API
- Limited to the features and rate limits of the Kadenzo platform
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