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Lukaris/framedeck-mcp

by Various

MCP server for Framedeck — connect any AI assistant to your content production pipeline

L

MCP

Lukaris/framedeck-mcp

Added 1 June 2026

#ai #content-creator #framedeck #kanban #mcp

Overview

Lukaris/framedeck-mcp is a Model Context Protocol server that connects AI assistants to the Framedeck content production pipeline. It enables AI tools to interact with Framedeck workflows through a standardized interface. The server is written in JavaScript and is open source.

Best for

Best for
Developers who want to connect AI assistants to their Framedeck content production workflows

Use cases

  • Automating content generation and publishing tasks in Framedeck
  • Integrating AI assistants like Claude or ChatGPT with Framedeck pipelines
  • Building custom AI-driven content workflows on top of Framedeck

Notes

Lukaris/framedeck-mcp is a Model Context Protocol server that connects AI assistants to the Framedeck content production pipeline. It enables AI tools to interact with Framedeck workflows through a standardized interface. The server is written in JavaScript and is open source.

0 stars on GitHub. Last updated 2026-04-08. Licensed MIT.

Use cases

  • Automating content generation and publishing tasks in Framedeck
  • Integrating AI assistants like Claude or ChatGPT with Framedeck pipelines
  • Building custom AI-driven content workflows on top of Framedeck

Pros

  • Open source and free to use
  • Standard MCP interface enables compatibility with many AI assistants
  • Lightweight JavaScript implementation easy to extend

Cons

  • Zero stars on GitHub indicates very early stage or low adoption
  • Limited documentation and community support
  • Requires familiarity with both Framedeck and MCP to set up

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Open source and free to use
  • Standard MCP interface enables compatibility with many AI assistants
  • Lightweight JavaScript implementation easy to extend

Cons

  • Zero stars on GitHub indicates very early stage or low adoption
  • Limited documentation and community support
  • Requires familiarity with both Framedeck and MCP to set up