This project implements a Model Context Protocol (MCP) server integration with the GIPHY API. The server allows an assistant to submit recent chat history ('context') and a search term to retrieve a list of candidate results from GIPHY and load their image data.

• Search and Retrieve: Uses the GIPHY API to search for images based on a provided search term.
• (Future) Sampling: Employs the MCP "sampling" feature to request the assistant to choose the most appropriate image for the context.
• Integration: The selected GIPHY image and its metadata are returned to the original assistant tool call, enabling it to be included in assistant responses to users.

Simply run:

make

To create the virtual environment and install dependencies.

Use the VSCode launch configuration, or run manually:

Defaults to stdio transport:

uv run -m mcp_server.start

For SSE transport:

uv run -m mcp_server.start --transport sse --port 6020

The SSE URL is:

http://127.0.0.1:6000/sse

To use this MCP server in your setup, consider the following configuration:

{
  "mcpServers": {
    "giphy-server": {
      "command": "uv",
      "args": ["run", "-m", "mcp_server.start"],
      "env": {
        "GIPHY_API_KEY": "YOUR_GIPHY_API_KEY"
      }
    }
  }
}

{
  "mcpServers": {
    "giphy-server": {
      "command": "http://127.0.0.1:6000/sse",
      "args": []
    }
  }
}

Ensure that GIPHY_API_KEY is set in your environment so that the server can authenticate with the GIPHY API.