Steampipe MCP Server

An MCP server that interacts with the PostgreSQL database, mainly used for the Steampipe tool, providing functions such as database query and table structure viewing.

Database Developer tools #Database tool #Steampipe #PostgreSQL #MCP service .Python

rating : 2.5 points

downloads : 275

update time : 2025-04-23

What is the Steampipe MCP Server?

The Steampipe MCP Server is a middleware service that allows users to interact with the Steampipe database through tools such as Claude Desktop. It provides various database operation tools, such as query execution and table structure viewing, and is specifically optimized for Steampipe's multi-schema feature.

How to use the Steampipe MCP Server?

Before use, you need to install Steampipe and start the service, then configure the MCP server to connect to the database. You can run it directly through the command line or integrate it into Claude Desktop for use.

Use cases

Suitable for user scenarios that require analyzing cloud resource (AWS/GCP, etc.) data, executing complex SQL queries, or automating database operations. It is particularly suitable for data analysts and cloud architects.

Main features

SQL query executionSupports executing read-only SQL queries and returning results in JSON format

Schema browserCan list tables in all schemas or the table structure in a specific schema

Table structure viewingGet the column names and data type information of the specified table

Steampipe optimizationSpecifically optimized for Steampipe's multi-schema environment

Advantages and limitations

Advantages

Simplifies the access process of the Steampipe database

Provides optimized queries for multi-schema environments

Seamlessly integrates with Claude Desktop

Lightweight and easy to deploy

Limitations

Only supports the PostgreSQL database

Requires a pre-installed Steampipe environment

May have performance limitations for large-scale data queries

How to use

Install Steampipe

Choose an appropriate way to install Steampipe according to your operating system

Start the Steampipe service

Run Steampipe as a background service

Get database connection information

Get the database URL from the service status

Configure the MCP server

Set the database connection through environment variables or command-line parameters

Integrate into Claude Desktop (optional)

Add the MCP server configuration in the settings

Usage examples

List AWS EC2 instancesQuery information about all EC2 instances in the AWS account

Check GCP bucket permissionsAnalyze the access permission settings of GCP buckets

Cross-cloud resource analysisCompare the usage of computing resources in AWS and GCP

Frequently Asked Questions

Why is the query result empty?

How to improve query performance?

What should I do if the database connection fails?

How to view all available schemas?

Related resources

Steampipe official documentation

Complete usage documentation and API reference for Steampipe

PostgreSQL official guide

Official documentation for the PostgreSQL database

GitHub repository

Project source code and issue tracking

Claude Desktop configuration guide

How to configure Claude Desktop to use the MCP server

🚀 Clockwork Steam Engine Server

The Clockwork Steam Engine Server is a powerful tool that provides a stable and efficient server environment, enabling users to easily manage databases and perform various operations.

🚀 Quick Start

Get started with the Clockwork Steam Engine Server by following the installation and configuration steps below.

📦 Installation

1. Using Make

make dev

# Or run manually
mcp dev src/steampipe_mcp_server/cli.py

2. Using CLI

# Using Make
make server

# Or specify the database URL
steampipe-mcp-server --database-url postgresql://steampipe:password@localhost:9193/steampipe

# Or use environment variables
export STEAMPIPE_MCP_DATABASE_URL=postgresql://steampipe:password@localhost:9193/steampipe
steampipe-mcp-server

🛠️ Configuration

Environment Variables

STEAMPIPE_MCP_DATABASE_URL: Specify the database connection URL.
STEAMPIPE_MCP_LOG_LEVEL: Set the log level (optional values: debug, info, warning, error, critical).

🛠️ Tools

query

steampipe-mcp-server query --help

list-all-tables

steampipe-mcp-server list-all-tables

👥 Contribution

Fork the repository.
Create a new branch.
Commit your changes.
Submit a pull request.

🚀 Release

Update the version number in pyproject.toml.
Run all checks:
```
make check test
```

Tag on GitHub:

git tag v0.1.0  # Use the appropriate version number
git push origin v0.1.0

🐞 Troubleshooting

1. Database Connection Issues

Check if the database URL is correct and ensure that the database is running and you have the appropriate permissions.

2. Insufficient Log Information

View the log file or set a more detailed log level:

export STEAMPIPE_MCP_LOG_LEVEL=debug
steampipe-mcp-server

3. Plugin Loading Failure

Check if the plugin path is correct and ensure that the plugin file exists and is in the correct format.

💻 Usage Examples

Configuration Example

[database]
url = "postgresql://steampipe:password@localhost:9193/steampipe"

Basic Usage

steampipe-mcp-server query --help

📚 Appendix

Frequently Asked Questions

Q: How to install dependencies?
A: Use pip install -r requirements.txt.
Q: How to run tests?
A: Run pytest tests/.
Q: How to generate documentation?
A: Use make docs.

📚 References

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