@echosaw/mcp-server

Echosaw MCP Server - Media intelligence for AI assistants. Connect your LLM to Echosaw and analyze media directly within your workflow.

AI & ML

Install Command

npx -y @echosaw/mcp-server

Claude Desktop Config

{
  "mcpServers": {
    "echosaw-mcp-server": {
      "command": "npx",
      "args": [
        "-y",
        "@echosaw/mcp-server"
      ]
    }
  }
}

@echosaw/mcp-server is a community MCP server that connects AI assistants like Claude to echosaw mcp server - media intelligence for ai assistants. connect your llm to echosaw and analyze media directly within your workflow. It runs locally on your machine, keeping your data private and giving you full control over the connection. AI engineers can use it to chain models and pipelines into more powerful workflows.

About @echosaw/mcp-server

Overview

Echosaw MCP Server - Media intelligence for AI assistants. Connect your LLM to Echosaw and analyze media directly within your workflow.

Topics

mcp, model-context-protocol, mcp-server, media-analysis, video-analysis, audio-analysis, image-analysis, media-intelligence, ai-agents, claude, cursor, multimodal, echosaw

Who Should Use @echosaw/mcp-server?

1Analyse and describe images as part of your AI workflow
2Chain AI models and pipelines through a unified MCP interface
3Let Claude orchestrate other AI tools and models
4Integrate embeddings, image generation, or speech APIs into your workflow

How to Install @echosaw/mcp-server

Before you start

You will need Node.js (v18 or later) installed on your machine — download it from nodejs.org if you haven't already.

1Open a terminal (Terminal on Mac, Command Prompt or PowerShell on Windows).
2Paste the install command above and press Enter — Node.js will download and run the server automatically.
3Add the server to your Claude Desktop config file (see the JSON snippet above) and restart Claude.

The Claude Desktop config snippet above can be copied and pasted directly into your claude_desktop_config.json file — no editing required.