What is the purpose of this MCP server?
This server extends Claude Desktop by exposing custom Python functions as tools that Claude can call, allowing it to interact with external services like AWS and GitHub.
@mounirelbakkali1
Basic information
an mcp server serving tools to manage AWS account
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"mcp-server-101": {
"command": "uv",
"args": [
"run",
"mcp",
"install",
"server.py"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
MCP Server Setup Documentation is a guide for creating a Model Control Protocol (MCP) server that integrates with Claude Desktop. It extends Claude’s capabilities by allowing it to interact with external systems and APIs, such as AWS services and GitHub. The server is built with Python and the FastMCP library, and is intended for developers who want to add custom tool functions to Claude.
Install prerequisites (Python 3.8+, Claude Desktop, uv), then install required packages with uv add mcp[cli] pygithub boto3. Create a server.py file with custom tool functions decorated with @mcp.tool(). Test the server using uv run mcp install server.py, then configure Claude Desktop by editing its config JSON to point to your server script via uv run --with mcp[cli], pygithub, boto3 mcp run /full/path/to/server.py. Enable the server in Claude Desktop’s Developer settings.
--withThis server extends Claude Desktop by exposing custom Python functions as tools that Claude can call, allowing it to interact with external services like AWS and GitHub.
Python 3.8+, Claude Desktop, the `uv` package manager, and a basic understanding of Python and command‑line operations.
Store them in a `.env` file in the same directory as `server.py` and never hardcode them. Load them using `load_dotenv()` and environment variables like `AWS_ACCESS_KEY_ID` or `GITHUB_TOKEN`.
Make sure the server is actually running, check if the port is already in use, and verify that no firewall is blocking the connection.
Add the package names to the `--with` argument in the Claude Desktop configuration JSON, e.g., `--with mcp[cli], pygithub, boto3, pandas, requests`.

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