What are the dependencies or runtime requirements?
Python 3.12 or newer and the `uv` package manager are required. For installation instructions, refer to the official uv documentation.
@yiGmMk
Basic information
learn to make some mcp servers
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"mcp-server-yigmmk": {
"command": "npx",
"args": [
"-y",
"@smithery/cli",
"install",
"@yiGmMk/mcp-server",
"--client",
"claude"
]
}
}
}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.
Fetch the live tool list by running this server in a temporary sandbox using the button above.
A Model Context Protocol (MCP) server that integrates jina.ai tools (search, web page reading) and serves as a learning project for writing MCP servers. It is designed for use with AI assistants like Claude.
Install Python 3.12+ and the uv package manager. Then configure the server in your MCP client (e.g., Claude Desktop) using the provided mcpServers JSON block, setting the command to uv with arguments pointing to your local main.py file and providing the required API keys (JINA_API_KEY, GOOGLE_AI_STUDIO_KEY). Automatic installation via Smithery is also available.
Python 3.12 or newer and the `uv` package manager are required. For installation instructions, refer to the official uv documentation.
You need `JINA_API_KEY` (obtain from https://jina.ai/reader) and `GOOGLE_AI_STUDIO_KEY` (obtain from https://aistudio.google.com/apikey).
You can install it automatically via Smithery using `npx -y @smithery/cli install @yiGmMk/mcp-server --client claude`, or manually by adding a JSON configuration block to your MCP client (e.g., Claude Desktop) with the appropriate `command` and `env` values.
The README notes that a Docker image build succeeded, but the MCP service exits immediately when run inside a container, so Docker usage is currently not functional.
It provides tools from jina.ai, such as web search and web page reading. The exact tool names are not listed in the README.

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This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable,

Model Context Protocol Servers
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