Skip to main content
Glama
Hqzdev

Lens-MCP

by Hqzdev

Lens-MCP

Lens-MCP is a read-only Postgres MCP server that lets AI agents inspect and query approved database data safely.

The point is not to expose SQL over MCP. That is easy and dangerous. The point is to put a deliberate safety layer between the agent and Postgres: AST-based SQL validation, table allow-listing, enforced row limits, query timeouts, and a read-only database user.

Scope

Lens-MCP provides four MCP tools:

  • list_tables

  • describe_table(table_name)

  • sample_table(table_name, limit)

  • query(sql)

The MVP uses stdio transport because it is the right default for local MCP clients such as Claude Desktop and Cursor. HTTP transport, hosted deployments, dashboards, and orchestration are intentionally out of scope until the local safety model is proven.

Related MCP server: dbecho

Security Model

Lens-MCP uses defense in depth:

  • Only single-statement SELECT queries are accepted.

  • SQL is parsed with sqlglot; security does not rely on substring checks.

  • Every referenced table must be present in LENS_ALLOWED_TABLES.

  • Missing limits receive LENS_DEFAULT_ROW_LIMIT.

  • Excessive limits are capped by LENS_MAX_ROW_LIMIT.

  • Every database call applies LENS_STATEMENT_TIMEOUT_MS.

  • The database connection should use a Postgres role with SELECT privileges only.

This does not make arbitrary databases safe by itself. It reduces the blast radius, but the Postgres role must still be read-only and the allow-list must exclude sensitive tables.

Quick Start

Create a virtual environment and install the package:

python -m venv .venv
source .venv/bin/activate
python -m pip install -e ".[dev]"

Start the demo database:

docker compose -f infra/docker-compose.yml up -d

Export local settings:

export LENS_DATABASE_URL="postgresql://lens_readonly:lens_readonly@localhost:5432/lens_demo"
export LENS_ALLOWED_TABLES="public.customers,public.orders"
export LENS_DEFAULT_ROW_LIMIT="100"
export LENS_MAX_ROW_LIMIT="500"
export LENS_STATEMENT_TIMEOUT_MS="5000"
export LENS_SCHEMA_NAME="public"

Run the MCP server:

lens-mcp

Claude Desktop

Use examples/claude_desktop_config.json as the starting point for local client configuration.

Useful smoke-test prompts:

  • List the tables available through Lens-MCP.

  • Describe the customers table.

  • Show two sample rows from orders.

  • Run SELECT * FROM public.customers and tell me what limit was applied.

  • Try to delete from public.customers and explain why the tool refused.

Configuration

Variable

Purpose

Default

LENS_DATABASE_URL

Postgres connection URL

empty

LENS_ALLOWED_TABLES

Comma-separated allow-list such as public.customers,public.orders

empty

LENS_DEFAULT_ROW_LIMIT

Limit added when a query has no limit

100

LENS_MAX_ROW_LIMIT

Maximum allowed limit

1000

LENS_STATEMENT_TIMEOUT_MS

Postgres statement timeout

5000

LENS_SCHEMA_NAME

Schema used by introspection and table samples

public

Safe defaults are restrictive. If LENS_ALLOWED_TABLES is empty, database tables are not exposed.

Development

ruff check .
mypy src tests
pytest

Run the optional live Postgres integration tests after starting Docker Compose:

LENS_INTEGRATION_DATABASE_URL="postgresql://lens_readonly:lens_readonly@localhost:5432/lens_demo" pytest tests/test_integration_postgres.py

Project Judgment

Kubernetes, Terraform, service mesh, queues, and dashboards are not signs of professionalism for this project. Lens-MCP is a small stateless adapter over Postgres. The professional signal is a clean boundary between MCP protocol, security validation, data access, configuration, and tests that prove unsafe SQL cannot slip through.

Install Server
A
license - permissive license
C
quality
C
maintenance

Maintenance

Maintainers
Response time
Release cycle
Releases (12mo)
Commit activity

Resources

Unclaimed servers have limited discoverability.

Looking for Admin?

If you are the server author, to access and configure the admin panel.

Latest Blog Posts

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/Hqzdev/Lens-MCP'

If you have feedback or need assistance with the MCP directory API, please join our Discord server