Telegram Gifts Analyst MCP Server
Enables AI agents to fetch real-time market data, analyze user inventories, and track deep analytics for the Telegram Gifts market via the GiftAsset API.
README
🎁 Telegram Gifts Analyst | MCP Server
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.
🛠️ 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 |
🚀 Prerequisites
- Python: Version 3.11 or higher (or Docker installed).
- API Key: You need a valid
GIFTASSET_API_KEYto connect to the GiftAsset API.🔑 Get your key here: @giftassetmcp_bot
🔌 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.
- 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:
- Setup the environment:
python -m venv venv
source venv/bin/activate # On Windows: venv\Scripts\activate
pip install -r requirements.txt
- 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"
}
}
}
}
💻 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).
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