Metadata-Version: 2.4
Name: search-mcp-server
Version: 0.2.0
Summary: A Model Context Protocol (MCP) search server
Project-URL: Homepage, https://github.com/krzysztofkucmierz/search-mcp-server
Project-URL: Repository, https://github.com/krzysztofkucmierz/search-mcp-server
Project-URL: Issues, https://github.com/krzysztofkucmierz/search-mcp-server/issues
Author-email: Krzysztof Kućmierz <krzysztof.kucmierz@artificiuminformatica.pl>
License: Apache 2.0
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.13
Requires-Python: >=3.13
Requires-Dist: beautifulsoup4
Requires-Dist: fastmcp>=2.11.3
Requires-Dist: httpx
Requires-Dist: lxml
Description-Content-Type: text/markdown

# Search MCP Server

A Model Context Protocol (MCP) server that enables searching and discovering existing MCP servers from the official GitHub repository.

**Author:** Krzysztof Kućmierz  
**Email:** <krzysztof.kucmierz@artificiuminformatica.pl>  
**Repository** [https://github.com/krzysztofkucmierz/search-mcp-server]

## Features

- **Search MCP Servers**: Find relevant MCP servers by name, description, or category
- **Dynamic Data**: Live scraping from <https://github.com/modelcontextprotocol/servers>
- **Fast & Cached**: Configurable caching (default: 6 hours) for optimal performance

## Tools & Resources provided by server

- Tools: `search_mcp_servers(query, category)`, `get_mcp_server_categories()`
- Resources: `mcp://servers/list`, `mcp://servers/categories`

## Installation and usage - quick start

```bash
pip install uv
uv venv
source .venv/bin/activate
uv pip install search-mcp-server
search-mcp-server --sse # see available command line options in next sections
```

## Installation and usage - details

### Install [uv](https://docs.astral.sh/uv/) (fast Python package manager)

```bash
# macOS/Linux
curl -LsSf https://astral.sh/uv/install.sh | sh

# Or with pip
pip install uv

uv venv
source .venv/bin/activate
```

### Install MCP server from PyPi.org

```bash
uv pip install search-mcp-server
```

### Start the MCP server

```bash
search-mcp-server --sse
```

Command Line Options

- `--sse`: Start in SSE mode instead of stdio mode
- `--port PORT`: Port for SSE mode (default: 8000)
- `--cache-timeout SECONDS`: Cache timeout in seconds (default: 21600 = 6 hours)
- `--help`: Displays available options

use `--sse` when you want other apps to connect over HTTP; omit it to run in stdio mode where the client must start the process.

### Add MCP server to your IDE (example for VSCode)

If you run the server with `--sse`, point your client (or VSCode MCP extension) to the SSE URL (here it is `http://127.0.0.1:8000/sse`). Add the following minimal JSON to the mcp.json file:

```json
{
    "servers": {
        "Search MCP server": { "url": "http://127.0.0.1:8000/sse", "type": "http" }
    },
    "inputs": []
}
```

Make sure it is in "Running" state. "Start" or "Restart" if needed.

## Development

Fork the repository [https://github.com/krzysztofkucmierz/search-mcp-server]

```bash
git clone https://github.com/<your-account>/search-mcp-server.git
cd search-mcp-server
uv sync
```

### Usage

Note: the server script `mcp_server.py` lives in the repo root — run it directly as shown below. If you install the package, the `search-mcp-server` entry point (configured in `pyproject.toml`) will also be available.

```bash
# SSE mode (recommended) — exposes an HTTP/SSE endpoint
uv run python mcp_server.py --sse

# Custom port and cache timeout
uv run python mcp_server.py --sse --port 8001 --cache-timeout 3600

# Stdio mode (for MCP clients that spawn the process)
uv run python mcp_server.py
```

### Code quality tools

```bash
# Code quality
uv run ruff check --fix .
uv run mypy mcp_server.py

# Run server
uv run python mcp_server.py --sse
```

### Debugging with MCP Inspector

```bash
npx @modelcontextprotocol/inspector uv run python mcp_server.py --sse
```

## Links

- [Model Context Protocol](https://modelcontextprotocol.io/)
- [MCP Servers Repository](https://github.com/modelcontextprotocol/servers)
- [FastMCP Framework](https://gofastmcp.com/)
