We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/guilyx/epsteinexposed-mcp'
If you have feedback or need assistance with the MCP directory API, please join our Discord server
getting-started.md•1.19 KiB
# Getting Started
## Prerequisites
- **Python 3.12+**
- **pip** (or [uv](https://docs.astral.sh/uv/) for faster installs)
## Installation
```bash
# Clone the repository
git clone https://github.com/guilyx/epsteinexposed-mcp.git
cd epsteinexposed-mcp
# Install with dev dependencies
pip install -e ".[dev]"
```
## Quick Start
### Run via stdio (default)
```bash
python -m src.server
```
The server starts in **stdio transport mode** — it reads JSON-RPC messages from stdin and writes responses to stdout. This is the standard way MCP clients (Claude Desktop, Cursor, etc.) communicate with tool servers.
### Run via the MCP CLI
```bash
mcp run src/server.py
```
### Use as a library
```python
from src.epstein_client import EpsteinClient
async with EpsteinClient() as client:
persons = await client.search_persons("Doe")
print(persons)
```
## Running Tests
```bash
pytest -v
```
## Linting
```bash
ruff check .
ruff format --check .
```
## What's Next?
- **[Architecture](/guide/architecture)** — understand how the pieces fit together
- **[Configuration](/guide/configuration)** — environment variables and tuning
- **[Tools API](/api/tools)** — reference for all MCP tools exposed