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safedb-mcp

safedb-mcp

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github.com/narekmalkDatabases9Updated 5w ago

About safedb-mcp

safedb-mcp is an MCP server for controlled, read-only database access by AI agents, supporting Postgres, MySQL, MariaDB, and SQLite. SQL validation, access policies, masking, and auditing add safeguards between agents and databases.

Key features

  1. 01Supports four database systems
  2. 02Parses and validates read-only SQL
  3. 03Configurable schema and table access
  4. 04Caps rows and masks sensitive fields
  5. 05Records query audit logs

Use cases

  1. 01Let an AI agent inspect database structure
  2. 02Query production data under read-only rules
  3. 03Mask personal data in query results

MCP support

MCP tools expose schema, table, and column inspection, read-only queries, query explanations, and policy retrieval.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
"mcpServers": {
"narekmalk-safedb": {
"command": "npx",
"args": [
"-y",
"@safedb/safedb-mcp"
],
"env": {
"YOUR_API_KEY": "<YOUR_API_KEY>"
}
}
}
}
Run commandnpx -y @safedb/safedb-mcp
Environment variables to set
YOUR_API_KEYSecretYour API key for the service

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
npm@safedb/safedb-mcp0.5.0

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

SafeDB MCP

CI npm version safedb-mcp MCP server

SafeDB MCP is a secure Model Context Protocol server that lets AI agents inspect and query Postgres, MySQL, MariaDB, and SQLite with strict read-only guardrails. It is designed for teams that want useful database access without handing an agent unrestricted production credentials.

Direct database credentials are dangerous for agents because a single bad prompt, tool call, or generated SQL statement can mutate data, exfiltrate sensitive columns, or run expensive queries. SafeDB MCP puts a policy layer between the agent and your database: only configured schemas and tables are visible, SQL is parsed and validated before execution, row counts are capped, results are masked, and every query attempt is audited.

This project is an MVP. It prefers false positives and blocked queries over unsafe access, and it does not claim perfect SQL security.

Features

  • MCP tools: list_schemas, list_tables, describe_table, run_readonly_query, explain_query, get_safedb_policy
  • Postgres support through pg
  • MySQL and MariaDB support through mysql2
  • SQLite file support through sql.js
  • YAML or JSON config with environment expansion
  • AST-backed read-only SQL guardrails for SELECT, WITH ... SELECT, UNION, and EXPLAIN SELECT
  • Table detection through joins, CTEs, nested subqueries, aliases, and unions
  • Column projection checks that block masked fields selected through aliases or expressions
  • Configurable table allowlists, denylists, row limits, and statement timeout
  • PII masking: redact, email, partial, and deterministic hash
  • JSONL audit log with no raw result data
  • CLI binary: safedb-mcp
  • TypeScript, Vitest, ESLint, Prettier

Quickstart

npx @safedb/safedb-mcp init --output safedb.yaml
DATABASE_URL=postgres://readonly:password@localhost:5432/app npx @safedb/safedb-mcp validate-config --config safedb.yaml
DATABASE_URL=postgres://readonly:password@localhost:5432/app npx @safedb/safedb-mcp test-connection --config safedb.yaml
DATABASE_URL=postgres://readonly:password@localhost:5432/app npx @safedb/safedb-mcp --config safedb.yaml

Use a dedicated database role with read-only permissions. SafeDB MCP is a defense-in-depth layer, not a replacement for least-privilege database credentials.

Docker

A Docker image packages SafeDB MCP with Node.js and its production dependencies so it can run the same way on any host with Docker.

Build the image locally:

docker build -t safedb-mcp .

Run the MCP server with a mounted config file:

docker run --rm -i \
  -e DATABASE_URL=postgres://readonly:[email protected]:5432/app \
  -v "$PWD/safedb.yaml:/config/safedb.yaml:ro" \
  safedb-mcp

Pass CLI commands after the image name:

docker run --rm \
  -e DATABASE_URL=postgres://readonly:[email protected]:5432/app \
  -v "$PWD/safedb.yaml:/config/safedb.yaml:ro" \
  safedb-mcp --config /config/safedb.yaml validate-config

Example Config

database:
  type: postgres
  url: ${DATABASE_URL}

safety:
  default_limit: 100
  max_limit: 1000
  statement_timeout_ms: 5000
  allow_explain: true

access:
  schemas:
    public:
      allow_tables:
        - users
        - orders
        - products
      deny_tables:
        - secrets
      column_masks:
        users.email: email
        users.phone: partial
        users.password_hash: redact
        users.ssn: redact

audit:
  path: safedb-audit.jsonl

For MySQL or MariaDB, set database.type and use the database name as the access schema:

database:
  type: mysql
  url: ${DATABASE_URL}

access:
  schemas:
    app:
      allow_tables:
        - users
        - orders
      deny_tables:
        - secrets

For SQLite, set database.type to sqlite, point database.path at the .db file, and use main as the access schema:

database:
  type: sqlite
  path: ./app.db

access:
  schemas:
    main:
      allow_tables:
        - users
        - orders
      deny_tables:
        - secrets

MCP Client Config

Claude Desktop:

{
  "mcpServers": {
    "safedb": {
      "command": "safedb-mcp",
      "args": ["--config", "/absolute/path/to/safedb.yaml"],
      "env": {
        "DATABASE_URL": "postgres://readonly:password@localhost:5432/app"
      }
    }
  }
}

Cursor or Hermes-style MCP config:

{
  "servers": {
    "safedb": {
      "command": "safedb-mcp",
      "args": ["--config", "/absolute/path/to/safedb.yaml"],
      "env": {
        "DATABASE_URL": "postgres://readonly:password@localhost:5432/app"
      }
    }
  }
}

Security Guarantees

SafeDB MCP aims to guarantee that:

  • Only configured schemas and tables are inspectable or queryable through the MCP tools.
  • SQL is parsed before execution, and mutating statement types or multiple statements are blocked.
  • Table access policy is checked against real tables found through joins, CTEs, nested subqueries, aliases, and unions.
  • Masked columns cannot be selected through aliases or expressions that would bypass response masking.
  • Query execution happens inside a read-only transaction with a local statement timeout where the driver supports it.
  • Returned rows are capped by an outer LIMIT.
  • Configured PII fields are masked before tool responses are returned.
  • Audit logs record attempts, decisions, detected tables, row counts, and duration without logging raw result rows.
  • Passwords and secrets are not intentionally logged.

Non-Goals

  • Formal proof of query safety.
  • Support for every valid dialect-specific read-only SQL construct.
  • Write operations, migrations, stored procedure execution, or COPY.

Development

npm install
npm run build
npm test
npm run lint

Roadmap

  • Per-tool and per-table rate limits.
  • Optional OpenTelemetry traces.
  • Signed audit logs.
  • Published Docker image and Helm chart.

License

MIT

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.