mcp-postgres

mcp-postgres

A comprehensive PostgreSQL MCP server providing 27 tools for database management and administration, including connection management, query execution, schema introspection, CRUD operations, and server monitoring.

Category
Visit Server

README

mcp-postgres

AGPL-3.0 npm

A comprehensive PostgreSQL MCP (Model Context Protocol) server providing 27 tools for database management and administration.

Features

  • Connection Management — connect, disconnect, pool health monitoring
  • Query Execution — parameterized queries, EXPLAIN ANALYZE, prepared statements
  • Schema Introspection — tables, indexes, constraints, views, functions, enums, extensions
  • CRUD Operations — type-safe insert, update, delete, upsert with injection protection
  • Server Management — version, settings, config reload, uptime
  • Database Sizing — database and table sizes with index/toast breakdown

Installation

npm install @itunified.io/mcp-postgres

Or run directly:

npx @itunified.io/mcp-postgres

Configuration

Set one of the following environment variables:

# Option 1: Connection string (preferred)
export POSTGRES_CONNECTION_STRING="postgresql://myuser:mypassword@your-database.example.com:5432/mydb"

# Option 2: Individual variables
export PGHOST="your-database.example.com"
export PGPORT="5432"
export PGUSER="myuser"
export PGPASSWORD="mypassword"
export PGDATABASE="mydb"
export PGSSLMODE="require"  # optional

Multi-Database Configuration

Create a config file at ~/.config/mcp-postgres/databases.yaml:

databases:
  production:
    host: db.example.com
    port: 5432
    user: admin
    password: ${DB_PROD_PASSWORD}
    database: myapp
    ssl: true
  staging:
    host: staging-db.example.com
    port: 5432
    user: admin
    password: ${DB_STAGING_PASSWORD}
    database: myapp
default: production

Environment variables in ${VAR_NAME} syntax are automatically expanded.

Config file discovery order:

  1. POSTGRES_CONFIG_FILE env var (explicit path)
  2. ~/.config/mcp-postgres/databases.yaml or databases.json
  3. POSTGRES_CONNECTION_STRING env var (single database)
  4. Individual PG* env vars (single database)

Override the config path with POSTGRES_CONFIG_FILE env var:

{
  "mcpServers": {
    "postgres": {
      "command": "npx",
      "args": ["@itunified.io/mcp-postgres"],
      "env": {
        "POSTGRES_CONFIG_FILE": "/path/to/databases.yaml"
      }
    }
  }
}

Use pg_list_connections to see all configured databases, pg_switch_database to change the active one.

HashiCorp Vault Integration (Optional)

mcp-postgres supports opportunistic secret loading from HashiCorp Vault via AppRole authentication. When configured, it fetches PostgreSQL credentials from a KV v2 path — so you never need to put database passwords in environment variables or config files.

How it works:

  1. On startup, the server checks for NAS_VAULT_ADDR, NAS_VAULT_ROLE_ID, and NAS_VAULT_SECRET_ID in the environment
  2. If all three are set, it logs in via AppRole and reads the configured KV v2 path
  3. It populates POSTGRES_CONNECTION_STRING and PG* env vars from the Vault secret — but only for vars not already set
  4. If Vault is not configured or unreachable, the server silently falls back to env vars

Precedence: Explicit env vars → Vault → config file fallback → (error if nothing set)

Variable Required Description
NAS_VAULT_ADDR Yes* Vault server address (e.g., https://vault.example.com:8200)
NAS_VAULT_ROLE_ID Yes* AppRole role ID for this server
NAS_VAULT_SECRET_ID Yes* AppRole secret ID for this server
NAS_VAULT_KV_MOUNT No KV v2 mount path (default: kv)

* Only required if using Vault. Without these, the server uses env vars / config files directly.

Vault KV v2 secret structure:

# Path: kv/your/postgres/secret
{
  "connection_string": "postgresql://myuser:mypassword@your-database.example.com:5432/mydb",
  "host": "your-database.example.com",
  "port": "5432",
  "user": "myuser",
  "password": "mypassword",
  "database": "mydb"
}

Key mapping: connection_stringPOSTGRES_CONNECTION_STRING, hostPGHOST, portPGPORT, userPGUSER, passwordPGPASSWORD, databasePGDATABASE

Tip: You can store either connection_string (for single-database setups) or individual fields (host/port/user/password/database), or both. The loader maps whatever keys are present.

Vault setup steps:

  1. Write PG credentials to a KV v2 path:

    vault kv put kv/your/postgres/secret \
      connection_string="postgresql://myuser:mypassword@your-database.example.com:5432/mydb" \
      host="your-database.example.com" \
      port="5432" \
      user="myuser" \
      password="mypassword" \
      database="mydb"
    
  2. Create a read-only policy:

    path "kv/data/your/postgres/secret" {
      capabilities = ["read"]
    }
    
  3. Create an AppRole and get credentials:

    vault write auth/approle/role/mcp-postgres \
      token_policies="mcp-postgres" token_ttl=1h
    vault read auth/approle/role/mcp-postgres/role-id
    vault write -f auth/approle/role/mcp-postgres/secret-id
    
  4. Configure the server with Vault env vars (no PG creds needed):

    {
      "mcpServers": {
        "postgres": {
          "command": "npx",
          "args": ["@itunified.io/mcp-postgres"],
          "env": {
            "NAS_VAULT_ADDR": "https://vault.example.com:8200",
            "NAS_VAULT_ROLE_ID": "your-role-id",
            "NAS_VAULT_SECRET_ID": "your-secret-id"
          }
        }
      }
    }
    

Note: Config file options (POSTGRES_CONFIG_FILE, databases.yaml) and PGSSLMODE are not loaded from Vault — set them via env vars if needed.

Claude Desktop / MCP Settings

Add to your settings.json:

{
  "mcpServers": {
    "postgres": {
      "command": "npx",
      "args": ["@itunified.io/mcp-postgres"],
      "env": {
        "POSTGRES_CONNECTION_STRING": "postgresql://myuser:mypassword@your-database.example.com:5432/mydb"
      }
    }
  }
}

Tools

Connection (5 tools)

Tool Description
pg_connect Connect to a database (default or named)
pg_disconnect Disconnect from a database or all
pg_connection_status Pool health for active or named database
pg_list_connections List all configured databases and status
pg_switch_database Switch the active database context

Query (3 tools)

Tool Description
pg_query Execute parameterized SELECT/DML query
pg_query_explain Run EXPLAIN ANALYZE on a query
pg_query_prepared Manage named prepared statements (PREPARE/EXECUTE/DEALLOCATE)

Schema Introspection (9 tools)

Tool Description
pg_schema_list List all schemas
pg_table_list List tables (with optional schema filter)
pg_table_describe Describe table columns, types, defaults, constraints
pg_index_list List indexes for a table
pg_constraint_list List constraints (PK, FK, unique, check)
pg_view_list List views with definitions
pg_function_list List functions/procedures with signatures
pg_enum_list List enum types and values
pg_extension_list List installed extensions

CRUD (4 tools)

Tool Description
pg_insert Insert row(s) with parameterized values
pg_update Update rows (requires confirm: true)
pg_delete Delete rows (requires confirm: true)
pg_upsert Insert or update on conflict (requires confirm: true)

Server (4 tools)

Tool Description
pg_version PostgreSQL version
pg_settings Show/search server configuration
pg_reload_config Reload configuration (requires confirm: true)
pg_uptime Server uptime and start time

HA Monitoring (4 tools)

Tool Description
pg_replication_status Streaming replication state and lag
pg_replication_slots List replication slots
pg_wal_status WAL generation rate and archive status
pg_standby_status Primary vs standby detection

Database Management (2 tools)

Tool Description
pg_database_size Size of all databases
pg_table_sizes Table sizes with index/toast breakdown

Enterprise Edition

For advanced PostgreSQL operations, mcp-postgres-enterprise extends this server with:

  • DBA Monitoring — VACUUM, ANALYZE, REINDEX, pg_stat_activity, table/index stats, locks, cache hit ratio, bloat detection
  • CloudNativePG (CNPG) — K8s cluster management, failover, switchover, backup orchestration
  • HA Operations — Replication slot management, PgBouncer pool control
  • Backup / PITR — pg_dump/pg_restore orchestration, point-in-time recovery
  • RBAC — Role management, privilege grants, row-level security policies
  • Audit — Query log analysis, connection audit, permission mapping
  • Compliance — SSL enforcement, connection limit checks

Available as a private GitHub package. Contact itunified.io for access.

Security

Query Safety Model

  • CRUD tools (pg_insert, pg_update, pg_delete, pg_upsert): All use parameterized queries ($1, $2, ...) — safe from SQL injection. Destructive operations require confirm: true.
  • pg_query: Unrestricted raw SQL runner by design — intended for power users who need full SQL flexibility. No injection protection is applied because the tool's purpose is to execute arbitrary SQL.
  • pg_query_explain: Defaults to safe plan mode (EXPLAIN only, no execution). mode=analyze always requires confirm: true because EXPLAIN ANALYZE executes the statement.
  • pg_query_prepared: Deprecated. Prepared statements are session-local in PostgreSQL and unreliable with connection pools. Statement names are validated as SQL identifiers. Use parameterized pg_query instead.

Destructive Operations

These tools require confirm: true to execute:

  • pg_update, pg_delete, pg_upsert — data modification
  • pg_reload_config — server configuration
  • pg_query_explain (analyze mode) — statement execution

Credentials

  • Connection credentials are read from environment variables or JSON/YAML config — never logged or stored
  • All identifiers (table, column, schema names) are validated against a strict regex pattern

License

This project is dual-licensed:

  1. AGPL-3.0 — Free for open-source and non-commercial use
  2. Commercial License — For proprietary and commercial use

See COMMERCIAL_LICENSE.md for details.

Contributing

Contributions are welcome! Please open an issue first to discuss proposed changes.

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured