Wallex MCP Server

@SajjadKiani

リポジトリ

基本情報

カテゴリ

その他

トランスポート

stdio

作者

SajjadKiani

Wallex MCP Server について

概要はまだありません

Wallex MCP Server の設定

標準の設定はありません

このサーバーの README には解析可能な MCP 設定ブロックが含まれていません。インストール手順はリポジトリをご確認ください。

リポジトリ

Wallex MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is Wallex MCP Server?

Wallex MCP Server is a FastMCP-based server that enables LLMs to interact with the Wallex REST API. It provides tools and resources for querying balances, placing and canceling orders, and fetching market data. The server is built with FastMCP, uses an HTTPX client wrapper, and validates responses with Pydantic schemas.

How to use Wallex MCP Server?

Run in development mode with fastmcp dev wallex_mcp/server.py. For production, use mcpo --port 8001 --api-key "wallex-local" -- fastmcp run wallex_mcp/server.py. Configuration is loaded from environment variables via config.py.

Key features of Wallex MCP Server

Tools: get_balance, place_order, cancel_order
Resources: wallex://market/{symbol}, wallex://orders/{id}, instruments
Built with FastMCP and Pydantic for type safety
Uses HTTPX for async API calls
Includes a Dockerfile for containerized deployment

Use cases of Wallex MCP Server

Automated cryptocurrency trading via LLM prompts
Real-time portfolio balance checking
Order management (placing and canceling)
Market data retrieval for analysis

よくある質問

How do I run Wallex MCP Server in development?

Use the command `fastmcp dev wallex_mcp/server.py` for development with hot-reloading.

How do I deploy Wallex MCP Server in production?

Run `mcpo --port 8001 --api-key "wallex-local" -- fastmcp run wallex_mcp/server.py` with your API key.

What tools and resources are available?

Tools: `get_balance`, `place_order`, `cancel_order`. Resources: market data (by symbol), order status (by ID), and instruments list.

What are the dependencies?

The server requires Python, FastMCP, HTTPX, and Pydantic as listed in `requirements.txt`. A Dockerfile is provided for containerized use.

How is configuration handled?

Environment variables are loaded by `config.py` in the server package. The production command also requires an API key passed via `--api-key`.

「その他」の他のコンテンツ

Glasswarp

See and control a real Windows PC you own — from any MCP client, locally or remotely. Observe (UIA + screenshots), click/type/drag/scroll, launch apps, owner Live View. BYOH: your machine, your key.

Volley.sh

Volley

A good sequence diagram can solve almost any communication problem in engineering. Volley lets your agent write them as plain text, with the real request and response payloads on every arrow. It checks its own syntax wi

YOUB

Connect your AI assistant to your own YOUB endurance training account. Read recorded activities with full analysis, planned sessions, race goals, wellness (HRV, sleep, resting HR) and your athletic profile. Create or mov