# Simplest Usage of MCP Agent - Hello World!
This MCP Agent app uses a client to connect to the [fetch server](https://github.com/modelcontextprotocol/servers/tree/main/src/fetch) and the [filesystem server](https://github.com/modelcontextprotocol/servers/tree/main/src/filesystem) to print the tools available for each MCP server.
```plaintext
┌──────────┐ ┌──────────────┐
│ Client │──┬──▶│ Fetch │
└──────────┘ │ │ MCP Server │
│ └──────────────┘
│ ┌──────────────┐
└──▶│ Filesystem │
│ MCP Server │
└──────────────┘
```
## `1` App set up
First, clone the repo and navigate to the hello world example:
```bash
git clone https://github.com/lastmile-ai/mcp-agent.git
cd mcp-agent/examples/basic/mcp_hello_world
```
Install `uv` (if you don’t have it):
```bash
pip install uv
```
Sync `mcp-agent` project dependencies:
```bash
uv sync
```
Install requirements specific to this example:
```bash
uv pip install -r requirements.txt
```
## `2` Set up secrets and environment variables
Copy and configure your secrets and env variables:
```bash
cp mcp_agent.secrets.yaml.example mcp_agent.secrets.yaml
```
Then open `mcp_agent.secrets.yaml` and add your api key for your preferred LLM and keys/tokens for your MCP servers.
## `3` Run locally
Run your MCP Agent app:
```bash
uv run main.py
```
MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/Nghiauet/mcp-agent'
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