What are the runtime dependencies for Model Context Protocol?
You need Python, `uv` (the package manager), and Google OAuth credentials for Gmail API access.
@ramaiyaKushal
Basic information
MCP Server instructions
No standard config provided
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Model Context Protocol (MCP) is a custom MCP server that gives any AI application access to a toolset for an Artificial Virtual Assistant (AVA). It integrates with Gmail via Google OAuth, allowing the assistant to read and send emails. This server is designed for developers building AI agents with email capabilities.
Clone the repo, install uv, then test the server with uv run mcp dev mcp-server-example.py. Add the server configuration to an AI app (e.g., Claude Desktop or Cursor) using the provided JSON config. Customize the assistant’s behavior by editing prompts/ava.md, set up a .env file with your Google OAuth credentials, and authorize Gmail access by running uv run oauth.py.
uv run mcp devYou need Python, `uv` (the package manager), and Google OAuth credentials for Gmail API access.
Run `uv run oauth.py` – it checks for an existing token, initiates Google OAuth authentication in your browser, and saves the token automatically.
Credentials go in `.config/ava-agent/credentials.json` and the OAuth token is stored in `.config/ava-agent/token.json`. Both paths are configured in your `.env` file.
Yes. Edit the `prompts/ava.md` file to update communication preferences, specific instructions, and any other guidelines for the assistant.
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