instagram_MCP

manideep1428/instagram_MCP

3.3

If you are the rightful owner of instagram_MCP and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to henry@mcphub.com.

The Model Context Protocol (MCP) server is a framework designed to facilitate communication between different components of a machine learning model, enabling seamless integration and interaction.

The Model Context Protocol (MCP) server acts as a bridge between various components of a machine learning model, allowing them to communicate and share data efficiently. It is particularly useful in environments where multiple models or services need to interact with each other, providing a standardized protocol for data exchange. MCP servers are designed to be flexible and scalable, making them suitable for a wide range of applications, from small-scale projects to large enterprise systems. By using MCP, developers can ensure that their models are interoperable and can easily integrate with other systems, reducing the complexity and time required for development. The protocol supports various data formats and communication methods, making it adaptable to different use cases and requirements.

Features

  • Interoperability: MCP servers enable seamless communication between different models and services, ensuring compatibility and integration.
  • Scalability: Designed to handle varying loads, MCP servers can scale to meet the demands of both small and large systems.
  • Flexibility: Supports multiple data formats and communication methods, allowing for customization based on specific needs.
  • Standardization: Provides a standardized protocol for data exchange, reducing complexity and development time.
  • Security: Incorporates security measures to protect data and ensure safe communication between components.

Usages

usage with windsurf or cursor or Claude

{
  "mcpServers": {
    "insta-mcp": {
      "command": "/home/mani/.bun/bin/bun",
      "args": ["/home/mani/Desktop/insta-mcp/mcp.ts"],
      "env": {
        "INSTAGRAM_ACCESS_TOKEN": "",
        "INSTAGRAM_APP_ID": ""
      }
    }
  }
}