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bogdan01m/zapcap-mcp-server

by Various

MCP Server for ZapCap.ai

B

MCP

bogdan01m/zapcap-mcp-server

Added 1 June 2026

Overview

An MCP server that connects AI agents to ZapCap.ai for video captioning and subtitle generation. It implements the Model Context Protocol to allow language models to interact with ZapCap's API programmatically.

Best for

Best for
Developers building AI agents that need automated video captioning

Use cases

  • Automatically generate captions for videos using AI agents
  • Integrate video subtitle workflows into AI-powered applications
  • Trigger caption generation from natural language commands via MCP

Notes

An MCP server that connects AI agents to ZapCap.ai for video captioning and subtitle generation. It implements the Model Context Protocol to allow language models to interact with ZapCap’s API programmatically.

0 stars on GitHub. Last updated 2025-09-11. Licensed MIT.

Use cases

  • Automatically generate captions for videos using AI agents
  • Integrate video subtitle workflows into AI-powered applications
  • Trigger caption generation from natural language commands via MCP

Pros

  • Enables AI agents to directly access ZapCap’s captioning capabilities
  • Simple Python implementation for easy customization
  • Follows the MCP standard for interoperability with various AI frameworks

Cons

  • Zero stars and limited community adoption may indicate instability or lack of maintenance
  • Requires a ZapCap account and API key, adding external dependency
  • No documentation or examples provided in the repository

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

Pros

  • Enables AI agents to directly access ZapCap's captioning capabilities
  • Simple Python implementation for easy customization
  • Follows the MCP standard for interoperability with various AI frameworks

Cons

  • Zero stars and limited community adoption may indicate instability or lack of maintenance
  • Requires a ZapCap account and API key, adding external dependency
  • No documentation or examples provided in the repository