Telegram Gifts Analyst Server

Python Docker MCP Platform

Supercharge your AI agents with the Telegram Gifts Analyst MCP Server.

Built on the Model Context Protocol (MCP), this server acts as a bridge to the api.giftasset.dev API. It equips AI agents (like Claude or custom LLM bots) with a comprehensive suite of tools to fetch real-time market data, analyze user inventories, and track deep analytics for the Telegram Gifts market.

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🛠️ Exposed Tools (MCP Endpoints)

The server exposes the following tools, allowing AI agents to dynamically fetch and aggregate Telegram Gifts market data:

Tool	Description	Key Arguments
get_gift_info	Fetches high-resolution data for a specific gift instance.	slug (e.g., 'plushpepe-1')
get_market_actions	Tracks global market movements (buys, listings, state changes) across all supported marketplaces.	page, mode, action_type, gift, price filters
get_gifts_aggregator	Queries highly-filtered, unified market data combining multiple parameters.	page, name, model, symbol, backdrop, price filters
get_unique_last_sales	Retrieves the most recent unique sales for a specified collection.	collection_name, limit, model_name
get_all_collections_last_sale	Gathers the absolute last sale data across all providers for all collections.	None
get_gifts_update_stat	Provides daily statistical tracking of gift improvements and upgrades.	None
get_ton_price	Fetches the current exchange rate of TON (The Open Network) in USD.	None
get_gifts_price_list	Returns current floor prices for all collections across all marketplaces (GetGems, MRKT, Portals, Tonnel).	models, premarket
get_gifts_price_list_history	Returns historical price data (24h hourly, 7d daily) for gift collections.	collection_name
get_gift_by_name	Finds a specific gift by its exact name (e.g., 'EasterEgg-1').	name
get_gift_by_user	Scans and returns the detailed gift inventory of a specified Telegram user.	username, limit, offset
get_all_collections_by_user	Lists all collections owned by a user with filtering options.	username, telegram_id, include, exclude
get_user_profile_price	Calculates total profile valuation and lists top gifts with market data.	username, telegram_id, limit, offset
get_unique_gifts_price_list	Returns detailed information on collection gift prices.	collection_name
get_gifts_collections_emission	Tracks unique gifts issue inside collections.	None
get_gifts_collections_marketcap	Calculates the overall market-cap of gifts.	None
get_gifts_collections_health_index	Evaluates collection health (liquidity, mcap, whales).	None
get_gifts_collections_greed_index	Tracks greed index metrics (hidden, upgraded, owners).	None
get_providers_volumes	Provides aggregated sales volumes from all providers.	None

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🚀 Prerequisites

• Python: Version 3.11 or higher (or Docker installed).
• API Key: You need a valid GIFTASSET_API_KEY to connect to the GiftAsset API.

  🔑 Get your key here: @giftassetmcp_bot

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🔌 Connecting to an AI Agent

You can connect this server to any MCP-compatible client (such as Claude Desktop or Cursor). The API key must be passed via the GIFTASSET_API_KEY environment variable.

🐳 Option 1: Using Docker (Recommended)

Docker provides the cleanest integration without polluting your local Python environment.

1. Build the image:

   docker-compose build
   

2. **Configure your MCP Client** (e.g., add to `claude_desktop_config.json`):
```json
{
  "mcpServers": {
    "telegram-gifts": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "GIFTASSET_API_KEY=your_api_key_here",
        "telegram-gifts-mcp"
      ]
    }
  }
}

🐍 Option 2: Using a Local Python Environment

If you prefer running it locally via Python, follow these steps:

1. Setup the environment:

python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate
pip install -r requirements.txt

2. Configure your MCP Client (e.g., add to claude_desktop_config.json): Note: You must use absolute paths for both the Python binary and the project directory.

{
  "mcpServers": {
    "telegram-gifts": {
      "command": "/absolute/path/to/your/venv/bin/python",
      "args": [
        "-m",
        "src.server"
      ],
      "env": {
          "PYTHONPATH": "/absolute/path/to/giftasset_mcp",
          "GIFTASSET_API_KEY": "your_api_key_here"
      }
    }
  }
}

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💻 Standalone Testing

Want to test the server directly via standard I/O before hooking it up to an agent?

export GIFTASSET_API_KEY="your_api_key_here"
python -m src.server

(Note: The server will start in MCP stdio mode, expecting JSON-RPC commands via stdin/stdout).