What is the Model Context Protocol (MCP)?
MCP is an open protocol that standardizes how applications provide context to LLMs, enabling communication with locally running MCP servers that extend LLM capabilities with additional tools and resources.
@syedair
基本情報
概要はまだありません
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"mcp-servers-syedair": {
"command": "uv",
"args": [
"build"
]
}
}
}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。
This repository contains a collection of Model Context Protocol (MCP) servers that can be used with Amazon Q, Claude Desktop, and other LLMs that support the MCP protocol. It currently includes a Capital.com MCP server for trading operations such as searching markets, getting account information, and managing positions.
Install uv on your system, then configure the desired MCP server in your MCP client’s JSON configuration file. For Amazon Q, create mcp.json in ~/.aws/amazonq/mcp.json; for Claude Desktop, edit the config file via Settings > Developer. The client automatically starts and connects to the server.
src/.uv for package management and can be published to PyPI independently.MCP is an open protocol that standardizes how applications provide context to LLMs, enabling communication with locally running MCP servers that extend LLM capabilities with additional tools and resources.
You need to have `uv` installed on your system. Run `curl -LsSf https://astral.sh/uv/install.sh | sh` to install it.
Create an `mcp.json` file in `~/.aws/amazonq/mcp.json` with the server command, arguments, and environment variables including `CAPITAL_BASE_URL`, `CAPITAL_API_KEY`, `CAPITAL_PASSWORD`, `CAPITAL_IDENTIFIER`, and `FASTMCP_LOG_LEVEL`.
Go to Settings > Developer, click “Edit Config”, and add the same JSON configuration as for Amazon Q. Save the file and restart Claude Desktop.
Create a new directory under `src/` with your server name, add the necessary files (including `pyproject.toml` and `setup.py`), and include a README with usage instructions. The repository uses GitHub Actions to build and publish packages to PyPI.

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