MCP Server SQL Inspector
A Model Context Protocol (MCP) server that enables AI to inspect SQL databases and analyze query performance.
Tools
- list_tables: List tables in the database.
- get_schema: Get schema definition for one or more tables.
table_names(list): List of table names to inspect.
- get_table_stats: Get estimated row count for a table.
- run_explain: Analyze a query execution plan.
query: The SQL query to analyze (SELECT only).just_explain_plan(optional): If true, gets the plan without running the query (default: False).
Installation
Using uv (Recommended)
When using uv no installation is necessary. You can run the server directly:
uvx mcp-server-sql-inspector
Configuration with Claude Desktop
Add this to your claude_desktop_config.json:
{
"mcpServers": {
"sql-inspector": {
"command": "uvx",
"args": ["mcp-server-sql-inspector"],
"env": {
"DATABASE_URL": "postgresql://user:password@localhost:5432/dbname"
}
}
}
}
Local Development Configuration
If you are developing the server locally and want to test changes in Claude Desktop:
{
"mcpServers": {
"sql-inspector": {
"command": "/absolute/path/to/mcp-server-sql-inspector/.venv/bin/mcp-server-sql-inspector",
"args": [],
"env": {
"DATABASE_URL": "sqlite:///demo.db"
}
}
}
}
From Source
git clone <repository-url>
cd mcp-server-sql-inspector
poetry install --extras all
Docker
Build the image:
docker build -t mcp-server-sql-inspector .
Run the container:
docker run -i --rm -e DATABASE_URL="postgresql://user:password@host:port/dbname" mcp-server-sql-inspector
Docker Configuration for Claude Desktop
{
"mcpServers": {
"sql-inspector": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e", "DATABASE_URL=postgresql://user:password@host:port/dbname",
"mcp-server-sql-inspector"
]
}
}
}
Configuration
The server requires a DATABASE_URL environment variable to connect to your database.
Supported database protocols (requires appropriate drivers):
- PostgreSQL:
postgresql://... - MySQL:
mysql://... - MSSQL:
mssql+pyodbc://... - SQLite:
sqlite:///...
Development
-
Install dependencies:
poetry install --extras all
-
Run the server:
export DATABASE_URL="sqlite:///test.db" poetry run mcp-server-sql-inspector
License
Metadata
Release files for mcp-server-sql-inspector 0.1.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| mcp_server_sql_inspector-0.1.3.tar.gz | 3.9 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| mcp_server_sql_inspector-0.1.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 8.7 kB
Release files / mcp_server_sql_inspector-0.1.3.tar.gz
| Download URL | mcp_server_sql_inspector-0.1.3.tar.gz |
|---|---|
| Size | 3.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
f5d7eb818c64e28d1b36f1350f8273d7e2d1b3afdc4a5637b5e371d8ea8b8fdf
|
|
BLAKE2b-256 checksum How to use checksums |
002da48122c7fd1bfec882a111c5c28d495f82d92f0c6d629a7cfc85635f090e
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/2.1.3 CPython/3.13.5 Darwin/25.1.0
|
Release files / mcp_server_sql_inspector-0.1.3-py3-none-any.whl
| Download URL | mcp_server_sql_inspector-0.1.3-py3-none-any.whl |
|---|---|
| Size | 4.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
5b83bcfb7b83dfb8f3f9374f187bfb52e4d2df957174a9ada7442438dd5c1290
|
|
BLAKE2b-256 checksum How to use checksums |
e1cbdd3afdccbae128a7b2f741dbd3bcde3b0bceddd84f30849bf28dc1ac8179
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/2.1.3 CPython/3.13.5 Darwin/25.1.0
|
Security for mcp-server-sql-inspector 0.1.3
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.