_index.md•7.87 kB
---
title: "Quickstart (MCP)"
type: docs
weight: 5
description: >
How to get started running Toolbox locally with MCP Inspector.
---
## Overview
[Model Context Protocol](https://modelcontextprotocol.io) is an open protocol
that standardizes how applications provide context to LLMs. Check out this page
on how to [connect to Toolbox via MCP](../../how-to/connect_via_mcp.md).
## Step 1: Set up your database
In this section, we will create a database, insert some data that needs to be
access by our agent, and create a database user for Toolbox to connect with.
1. Connect to postgres using the `psql` command:
```bash
psql -h 127.0.0.1 -U postgres
```
Here, `postgres` denotes the default postgres superuser.
1. Create a new database and a new user:
{{< notice tip >}}
For a real application, it's best to follow the principle of least permission
and only grant the privileges your application needs.
{{< /notice >}}
```sql
CREATE USER toolbox_user WITH PASSWORD 'my-password';
CREATE DATABASE toolbox_db;
GRANT ALL PRIVILEGES ON DATABASE toolbox_db TO toolbox_user;
ALTER DATABASE toolbox_db OWNER TO toolbox_user;
```
1. End the database session:
```bash
\q
```
1. Connect to your database with your new user:
```bash
psql -h 127.0.0.1 -U toolbox_user -d toolbox_db
```
1. Create a table using the following command:
```sql
CREATE TABLE hotels(
id INTEGER NOT NULL PRIMARY KEY,
name VARCHAR NOT NULL,
location VARCHAR NOT NULL,
price_tier VARCHAR NOT NULL,
checkin_date DATE NOT NULL,
checkout_date DATE NOT NULL,
booked BIT NOT NULL
);
```
1. Insert data into the table.
```sql
INSERT INTO hotels(id, name, location, price_tier, checkin_date, checkout_date, booked)
VALUES
(1, 'Hilton Basel', 'Basel', 'Luxury', '2024-04-22', '2024-04-20', B'0'),
(2, 'Marriott Zurich', 'Zurich', 'Upscale', '2024-04-14', '2024-04-21', B'0'),
(3, 'Hyatt Regency Basel', 'Basel', 'Upper Upscale', '2024-04-02', '2024-04-20', B'0'),
(4, 'Radisson Blu Lucerne', 'Lucerne', 'Midscale', '2024-04-24', '2024-04-05', B'0'),
(5, 'Best Western Bern', 'Bern', 'Upper Midscale', '2024-04-23', '2024-04-01', B'0'),
(6, 'InterContinental Geneva', 'Geneva', 'Luxury', '2024-04-23', '2024-04-28', B'0'),
(7, 'Sheraton Zurich', 'Zurich', 'Upper Upscale', '2024-04-27', '2024-04-02', B'0'),
(8, 'Holiday Inn Basel', 'Basel', 'Upper Midscale', '2024-04-24', '2024-04-09', B'0'),
(9, 'Courtyard Zurich', 'Zurich', 'Upscale', '2024-04-03', '2024-04-13', B'0'),
(10, 'Comfort Inn Bern', 'Bern', 'Midscale', '2024-04-04', '2024-04-16', B'0');
```
1. End the database session:
```bash
\q
```
## Step 2: Install and configure Toolbox
In this section, we will download Toolbox, configure our tools in a
`tools.yaml`, and then run the Toolbox server.
1. Download the latest version of Toolbox as a binary:
{{< notice tip >}}
Select the
[correct binary](https://github.com/googleapis/genai-toolbox/releases)
corresponding to your OS and CPU architecture.
{{< /notice >}}
<!-- {x-release-please-start-version} -->
```bash
export OS="linux/amd64" # one of linux/amd64, darwin/arm64, darwin/amd64, or windows/amd64
curl -O https://storage.googleapis.com/genai-toolbox/v0.17.0/$OS/toolbox
```
<!-- {x-release-please-end} -->
1. Make the binary executable:
```bash
chmod +x toolbox
```
1. Write the following into a `tools.yaml` file. Be sure to update any fields
such as `user`, `password`, or `database` that you may have customized in the
previous step.
{{< notice tip >}}
In practice, use environment variable replacement with the format ${ENV_NAME}
instead of hardcoding your secrets into the configuration file.
{{< /notice >}}
```yaml
sources:
my-pg-source:
kind: postgres
host: 127.0.0.1
port: 5432
database: toolbox_db
user: toolbox_user
password: my-password
tools:
search-hotels-by-name:
kind: postgres-sql
source: my-pg-source
description: Search for hotels based on name.
parameters:
- name: name
type: string
description: The name of the hotel.
statement: SELECT * FROM hotels WHERE name ILIKE '%' || $1 || '%';
search-hotels-by-location:
kind: postgres-sql
source: my-pg-source
description: Search for hotels based on location.
parameters:
- name: location
type: string
description: The location of the hotel.
statement: SELECT * FROM hotels WHERE location ILIKE '%' || $1 || '%';
book-hotel:
kind: postgres-sql
source: my-pg-source
description: >-
Book a hotel by its ID. If the hotel is successfully booked, returns a NULL, raises an error if not.
parameters:
- name: hotel_id
type: string
description: The ID of the hotel to book.
statement: UPDATE hotels SET booked = B'1' WHERE id = $1;
update-hotel:
kind: postgres-sql
source: my-pg-source
description: >-
Update a hotel's check-in and check-out dates by its ID. Returns a message
indicating whether the hotel was successfully updated or not.
parameters:
- name: hotel_id
type: string
description: The ID of the hotel to update.
- name: checkin_date
type: string
description: The new check-in date of the hotel.
- name: checkout_date
type: string
description: The new check-out date of the hotel.
statement: >-
UPDATE hotels SET checkin_date = CAST($2 as date), checkout_date = CAST($3
as date) WHERE id = $1;
cancel-hotel:
kind: postgres-sql
source: my-pg-source
description: Cancel a hotel by its ID.
parameters:
- name: hotel_id
type: string
description: The ID of the hotel to cancel.
statement: UPDATE hotels SET booked = B'0' WHERE id = $1;
toolsets:
my-toolset:
- search-hotels-by-name
- search-hotels-by-location
- book-hotel
- update-hotel
- cancel-hotel
```
For more info on tools, check out the
[Tools](../../resources/tools/) section.
1. Run the Toolbox server, pointing to the `tools.yaml` file created earlier:
```bash
./toolbox --tools-file "tools.yaml"
```
## Step 3: Connect to MCP Inspector
1. Run the MCP Inspector:
```bash
npx @modelcontextprotocol/inspector
```
1. Type `y` when it asks to install the inspector package.
1. It should show the following when the MCP Inspector is up and running (please
take note of `<YOUR_SESSION_TOKEN>`):
```bash
Starting MCP inspector...
⚙️ Proxy server listening on localhost:6277
🔑 Session token: <YOUR_SESSION_TOKEN>
Use this token to authenticate requests or set DANGEROUSLY_OMIT_AUTH=true to disable auth
🚀 MCP Inspector is up and running at:
http://localhost:6274/?MCP_PROXY_AUTH_TOKEN=<YOUR_SESSION_TOKEN>
```
1. Open the above link in your browser.
1. For `Transport Type`, select `Streamable HTTP`.
1. For `URL`, type in `http://127.0.0.1:5000/mcp`.
1. For `Configuration` -> `Proxy Session Token`, make sure
`<YOUR_SESSION_TOKEN>` is present.
1. Click Connect.

1. Select `List Tools`, you will see a list of tools configured in `tools.yaml`.

1. Test out your tools here!