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Secure Schema MCP

Secure Schema MCP

Secure Schema MCP

A read-only MCP server that gives AI coding tools database structure without exposing row data. It returns table and view names, columns, types, keys, and relationships in a compact format designed to reduce LLM token usage.

What it exposes

Exposed

Not exposed

Table and view names

Row values or query results

Column names and SQL types

Row counts or samples

Primary and unique keys

Database credentials

Foreign-key relationships

Write or query tools

Schema metadata can still be sensitive. A column name such as ssn reveals information even without values, so production deployments should always use the table allowlist and a dedicated database account.

Related MCP server: DBMCP

Requirements

  • An MCP-compatible client such as Cursor or Codex

  • A reachable SQLite, PostgreSQL, or MySQL database

  • Python 3.12 or newer when installing without uvx

SQLite support uses Python's built-in driver. PostgreSQL and MySQL drivers are included. Other SQLAlchemy dialects are not tested or bundled in v1.

Configure your IDE

The recommended setup uses uvx to download and run the published Python package in an isolated environment. You do not need to clone this repository or start the server separately. Your IDE launches it over stdio when needed.

Cursor

Add this server to your Cursor MCP configuration:

{
  "mcpServers": {
    "secure-schema": {
      "command": "uvx",
      "args": ["mcp-secure-schema"],
      "env": {
        "DATABASE_URL": "postgresql+psycopg2://schema_reader:password@localhost:5432/appdb",
        "DATABASE_SCHEMA": "public",
        "ALLOWED_TABLES": "users,orders,products",
        "SECURE_SCHEMA_ENV": "production",
        "FASTMCP_CHECK_FOR_UPDATES": "off",
        "FASTMCP_SHOW_SERVER_BANNER": "false"
      }
    }
  }
}

Restart or reload Cursor after changing its MCP configuration.

Codex

Add this to ~/.codex/config.toml or a trusted project's .codex/config.toml:

[mcp_servers.secure-schema]
command = "uvx"
args = ["mcp-secure-schema"]
enabled_tools = ["schema_overview", "list_tables", "inspect_table"]
startup_timeout_sec = 30
tool_timeout_sec = 30

[mcp_servers.secure-schema.env]
DATABASE_URL = "postgresql+psycopg2://schema_reader:password@localhost:5432/appdb"
DATABASE_SCHEMA = "public"
ALLOWED_TABLES = "users,orders,products"
SECURE_SCHEMA_ENV = "production"
FASTMCP_CHECK_FOR_UPDATES = "off"
FASTMCP_SHOW_SERVER_BANNER = "false"

Install once instead

If you prefer a persistent installation:

pipx install mcp-secure-schema

Then use "command": "mcp-secure-schema" with an empty args list in the IDE configuration.

Database URLs

Secure Schema MCP accepts SQLAlchemy connection URLs:

# SQLite (absolute path)
sqlite:////Users/me/project/app.db

# PostgreSQL
postgresql+psycopg2://user:password@localhost:5432/appdb

# Remote PostgreSQL with certificate verification
postgresql+psycopg2://user:password@db.example.com:5432/appdb?sslmode=verify-full&sslrootcert=/path/to/ca.pem

# MySQL
mysql+pymysql://user:password@localhost:3306/appdb

Percent-encode special characters in URL usernames and passwords. For example, @ in a password becomes %40.

Local and remote databases use the same MCP configuration. For remote databases, the machine running the IDE must also have working DNS, network access, firewall permission, and valid TLS settings.

Configuration

Variable

Required

Description

DATABASE_URL

Yes

SQLAlchemy connection URL. Treated as a secret by the registry manifest.

DATABASE_SCHEMA

No

Default schema or catalog namespace. Recommended for PostgreSQL. Locked against tool overrides in production.

ALLOWED_TABLES

Production

Comma-separated, case-sensitive table and view allowlist. Production mode refuses to start without it.

SECURE_SCHEMA_ENV

No

Set to production or prod for strict startup validation. Defaults to development.

FASTMCP_CHECK_FOR_UPDATES

No

Set to off for predictable stdio startup.

FASTMCP_SHOW_SERVER_BANNER

No

Set to false to suppress the startup banner.

Multiple schemas

DATABASE_SCHEMA selects the default namespace. Resolution works as follows:

  • In production, a configured DATABASE_SCHEMA is a security boundary and tool arguments cannot override it.

  • Outside production, an explicit tool schema argument overrides DATABASE_SCHEMA.

  • Without either value, the database driver's default schema is used.

For strict production access to multiple schemas, run one MCP server entry per schema with its own DATABASE_SCHEMA and ALLOWED_TABLES values. The table allowlist contains unqualified names, not schema.table values.

Tools

  • schema_overview: compact map of permitted tables, views, primary keys, and foreign-key relationships

  • list_tables: permitted table and view inventory

  • inspect_table: columns, SQL types, nullability, primary keys, unique constraints, and foreign keys for one entity

Every tool defaults to format="compact" for lower token usage:

tables:orders,users | pk:orders(order_id);users(user_id) | fk:orders.user_id->users.user_id

Pass format="markdown" when a human-readable table is more useful.

Security notes

  • The server exposes only SQLAlchemy inspection operations; it provides no row-query or write tool.

  • Missing and disallowed table names return the same message when an allowlist is active, avoiding an existence leak.

  • Client-facing errors are sanitized. Operational details are written to server stderr.

  • The IDE launches the MCP process and supplies its environment, so treat the IDE and its configuration as trusted.

  • Do not commit configurations containing credentials. For stronger isolation, launch through a wrapper that obtains DATABASE_URL from an OS keychain or secret manager.

  • Use a dedicated least-privilege database account and TLS certificate verification for remote connections.

Example PostgreSQL role:

CREATE ROLE schema_reader LOGIN PASSWORD 'use-a-secret-manager';
GRANT CONNECT ON DATABASE appdb TO schema_reader;
GRANT USAGE ON SCHEMA public TO schema_reader;

Metadata visibility varies by PostgreSQL provider and database policy. Grant only the additional catalog or object privileges required for inspection; avoid granting row SELECT unless your environment requires it.

Troubleshooting

The server exits immediately

Check the IDE's MCP logs. DATABASE_URL is mandatory, and production mode also requires a non-empty ALLOWED_TABLES value.

No tables or views are discovered

Confirm DATABASE_SCHEMA, exact table-name casing, database permissions, and whether the allowlist contains the expected names.

The connection URL fails with a valid password

Percent-encode reserved URL characters or use a secret-injection wrapper. Do not paste real credentials into issues or logs.

uvx is not found

Install uv using its official instructions, or install the package with pipx and use mcp-secure-schema as the command.

Starting the command appears to hang

That is normal for a stdio MCP server. It waits for an MCP client on standard input and is normally started by the IDE.

Development

Clone the repository only when developing or testing the server:

git clone https://github.com/Siddharth-coder13/secure_schema_mcp.git
cd secure_schema_mcp
uv sync --extra dev
uv run python tests/demo_database.py
DATABASE_URL="sqlite:///$PWD/test_schema.db" uv run mcp-secure-schema

Run the test suite:

uv run pytest

Run the opt-in PostgreSQL integration test against a disposable database. The test creates and removes a randomly named schema:

POSTGRES_TEST_DATABASE_URL='postgresql+psycopg2://user@localhost:5432/testdb' \
  uv run pytest tests/test_postgres_smoke.py -v

The tests verify row-data isolation, allowlist behavior, sanitized errors, compact output, relationships, schema selection, and the locked production namespace.

Release checklist

Maintainers should update the matching versions in pyproject.toml and server.json, run the complete SQLite and PostgreSQL suites, build with uv build --no-sources, verify installation from the wheel, publish to PyPI, and only then publish server.json to the MCP Registry.

License

Licensed under the Apache License 2.0. See LICENSE and NOTICE.

Available Tools

3 tools
inspect_tableA

Exposes exact column names, types, nullability, primary keys, and foreign key relationships. Strictly constrained to structural layouts. Does not reveal data rows.

Inputs: table_name (required), format, schema. Returns: result

list_tablesA

Lists all user tables and views available in the current database. Use this to understand what architectural entities exist.

Inputs: format, schema. Returns: result

schema_overviewA

Summarizes available tables, views, primary keys, and foreign key relationships. Strictly constrained to structural metadata. Does not reveal data rows.

Inputs: format, schema. Returns: result

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

Loading tool schema changelog…

    TDQS

    A3.9/5.0

    Scored across 3 tools

    Disambiguation3/5

    list_tables and schema_overview both list tables/views, creating overlap. inspect_table is distinct but also covers PK/FK info that schema_overview summarizes. Descriptions help distinguish, but ambiguity remains.

    Naming Consistency3/5

    Two tools use verb_noun pattern (inspect_table, list_tables), while schema_overview uses noun_noun. The inconsistency is minor but noticeable.

    Tool Count4/5

    Three tools is appropriate for a focused schema exploration server. The count covers essential operations without being excessive.

    Completeness4/5

    Covers listing tables, detailed table inspection, and schema summary. Minor gaps like lack of view-specific inspection or filtering, but overall the surface is sufficient for the domain.

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