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MCP server for AgentVee — file uploads for AI agents

Project description

agentvee-mcp

MCP server for AgentVee — file uploads for AI agents with local filePath support.

Note: This is currently a test version. Full launch coming soon.

Quick Start

  1. Get an API key at agentvee.io/dashboard

  2. Add to your MCP config (e.g. ~/.cursor/mcp.json):

{
  "mcpServers": {
    "agentvee": {
      "command": "uvx",
      "args": ["agentvee-mcp"],
      "env": {
        "AGENTVEE_API_KEY": "your-api-key-here"
      }
    }
  }
}

Or with pip:

{
  "mcpServers": {
    "agentvee": {
      "command": "python",
      "args": ["-m", "agentvee_mcp"],
      "env": {
        "AGENTVEE_API_KEY": "your-api-key-here"
      }
    }
  }
}
  1. Restart your MCP client (Cursor, Claude Desktop, etc.)

Installation

pip install agentvee-mcp

Or with uv:

uvx agentvee-mcp --help

Supported Clients

Any MCP client that supports stdio transport:

Available Tools

Tool Description
upload_and_wait Upload a file and wait for a shareable download link
upload_file Upload a file (returns upload ID for status polling)
upload_from_url Upload a file from a public URL
get_upload_status Check the status of an upload
get_download_url Get the download URL for a completed upload

Upload Methods

Each upload tool supports three mutually exclusive input methods:

  • filePath — Local file path (stdio only, most efficient for local files — zero tokens)
  • url — Public URL for the server to fetch
  • content — Base64-encoded file content (fallback, uses tokens)

Environment Variables

Variable Required Default Description
AGENTVEE_API_KEY Yes Your AgentVee API key
AGENTVEE_API_BASE_URL No https://agentvee-api-develop.fly.dev API base URL

CLI

agentvee-mcp --help
agentvee-mcp --version

HTTP Transport

To run as an HTTP server (Streamable HTTP):

agentvee-mcp-http

Or:

python -m agentvee_mcp.http

Also Available

  • Node.js: npx -y @agentvee/mcp (npm)

License

MIT

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