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<table border="0" cellspacing="0" cellpadding="0"> <tr> <td width="110"> <img src="https://raw.githubusercontent.com/edelciomolina/postgres-mcp/main/icon.png" width="96" alt="Postgres MCP Icon"/> </td> <td> <h1>Postgres MCP</h1> <p>🔌 Native MCP server for PostgreSQL - reads credentials from <code>.env</code> at runtime with flexible key mapping, configurable tool selection, and <strong>read-only mode by default</strong>.</p> <a href="https://www.npmjs.com/package/@edelciomolina/postgres-mcp"><img src="https://img.shields.io/npm/v/@edelciomolina/postgres-mcp" alt="npm version"/></a> <a href="https://www.npmjs.com/package/@edelciomolina/postgres-mcp"><img src="https://img.shields.io/npm/l/%40edelciomolina%2Fpostgres-mcp" alt="license"/></a> <a href="https://github.com/edelciomolina/postgres-mcp/actions/workflows/ci.yml"><img src="https://github.com/edelciomolina/postgres-mcp/actions/workflows/ci.yml/badge.svg" alt="CI"/></a> </td> </tr> </table>
Most LLMs interact with databases by guessing - assuming table names, inventing column names, and writing queries that may fail or expose sensitive data. Postgres MCP solves this by giving the LLM a structured, safe interface to actually understand the database before touching it.
Built with @modelcontextprotocol/sdk and pg, it provides:
pg_classify_query_risk lets the LLM check a query's safety before running it.env at startup; nothing sensitive lives in mcp.jsontool=<name> args, so the LLM only sees what you choose to expose.env file with database credentials (anywhere in the project tree - see .env Discovery)There are two ways to use this package. Choose the one that best fits your workflow.
npx, recommended for quick start)No installation needed. npx downloads and runs the package on demand. Add -y as the first argument to skip the confirmation prompt.
{
"servers": {
"Postgres Tools": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@edelciomolina/postgres-mcp"
],
"env": {
"MCP_KEY_HOST": "DB_HOST",
"MCP_KEY_PORT": "DB_PORT",
"MCP_KEY_NAME": "DB_NAME",
"MCP_KEY_SSLMODE": "DB_SSLMODE",
"MCP_KEY_USER": "DB_USER",
"MCP_KEY_PASS": "DB_PASS"
}
}
}
}This starts the server with the default read-only tool set - no tool= arguments needed. To enable write-capable tools, see Write-capable tools.
💡 Using Supabase, Neon, Railway or another platform that only provides a connection string? UseMCP_KEY_URLpointing toDATABASE_URL(or whatever variable name the platform uses). The server will prioritize the URL and ignore the individual variables. See Connection via URL.
VS Code supports discovering and installing MCP servers directly in the editor, without using the terminal.
mcp.json automatically💡 You can also open the MCP Servers panel via Copilot chat icon → Manage MCP Servers to browse, enable, or disable servers at any time.
After installing, edit the generated entry in .vscode/mcp.json to add your tool= arguments and env key mappings as shown in the Usage section below.
mcp.json)Read-only (default - no `tool=` arguments needed):
{
"servers": {
"Postgres Tools": {
"type": "stdio",
"command": "npx",
"args": ["@edelciomolina/postgres-mcp"],
"env": {
"MCP_KEY_HOST": "DB_HOST",
"MCP_KEY_PORT": "DB_PORT",
"MCP_KEY_NAME": "DB_NAME",
"MCP_KEY_SSLMODE": "DB_SSLMODE",
"MCP_KEY_USER": "DB_USER",
"MCP_KEY_PASS": "DB_PASS"
}
}
}
}With write tools (explicit opt-in required):
{
"servers": {
"Postgres Tools": {
"type": "stdio",
"command": "npx",
"args": [
"@edelciomolina/postgres-mcp",
"tool=pg_manage_schema",
"tool=pg_manage_indexes"
],
"env": {
"POSTGRES_MCP_ALLOW_WRITE": "true",
"MCP_KEY_HOST": "DB_HOST",
"MCP_KEY_PORT": "DB_PORT",
"MCP_KEY_NAME": "DB_NAME",
"MCP_KEY_SSLMODE": "DB_SSLMODE",
"MCP_KEY_USER": "DB_USER",
"MCP_KEY_PASS": "DB_PASS"
}
}
}
}⚠️ Write-capable tools requirePOSTGRES_MCP_ALLOW_WRITE=trueinenv. Without it, the server exits at startup.
The corresponding .env file at the root of your project:
DB_HOST=db.your-project.supabase.co
DB_PORT=5432
DB_NAME=postgres
DB_SSLMODE=require
DB_USER=readonly_user
DB_PASS=your_passwordmcp.json configuration worksenv - credential key mappingThe env block does not contain the actual credentials. It maps each MCP_KEY_* to the variable name in your .env file.
Key in env | Points to .env variable | Example value |
|---|---|---|
MCP_KEY_URL | DATABASE_URL | postgresql://user:pass@host:5432/db?sslmode=require |
MCP_KEY_HOST | DB_HOST | db.example.supabase.co |
MCP_KEY_PORT | DB_PORT | 5432 |
MCP_KEY_NAME | DB_NAME | postgres |
MCP_KEY_SSLMODE | DB_SSLMODE | require |
MCP_KEY_USER | DB_USER | readonly_user |
MCP_KEY_PASS | DB_PASS | secret |
Priority: whenMCP_KEY_URL(orDATABASE_URL) is present, the server uses the URL directly and ignores the individual credential keys.
This indirection lets you use any variable name in your .env - useful when sharing a .env across multiple services with different naming conventions.
args - tool selection via tool= prefixEach enabled MCP tool is declared as a separate argument in the format tool=<name>:
"args": [
"-y",
"@edelciomolina/postgres-mcp",
"tool=pg_manage_schema",
"tool=pg_manage_indexes"
]This makes the tool list explicit and auditable directly in mcp.json - no hidden configuration files. 🔍
DATABASE_URL)In addition to individual credentials, you can provide a full connection string - the standard format on platforms like Supabase, Neon, and Railway.
`.env`:
DATABASE_URL=postgresql://user:password@host:5432/database?sslmode=require`mcp.json`:
{
"servers": {
"Postgres Tools": {
"type": "stdio",
"command": "npx",
"args": ["-y", "@edelciomolina/postgres-mcp"],
"env": {
"MCP_KEY_URL": "DATABASE_URL"
}
}
}
}The variable mapped by MCP_KEY_URL has priority over the other keys (MCP_KEY_HOST, MCP_KEY_PORT, etc.). If the URL is present, the other variables are ignored.
If the platform uses a different name (e.g. DB_URL), just adjust the mapping:
"MCP_KEY_URL": "DB_URL"If you omit all tool= arguments, the server starts with a curated read-only set - all tools that can retrieve, analyze, or explain data, but nothing that can modify it.
✅ Included in defaults (read-only):
pg_execute_query pg_manage_query pg_inspect_schema
pg_get_setup_instructions pg_analyze_database
pg_monitor_database pg_debug_database
pg_inspect_database_graph pg_describe_table_semantics
pg_find_related_tables pg_classify_query_risk💡pg_execute_queryrejectsINSERT,UPDATE,DELETE, DDL,ANALYZE,VACUUM,EXPLAIN ANALYZEand other write/maintenance commands before the database is queried.
💡pg_inspect_schemaprovides read-only schema introspection (get_info,get_enums). For DDL operations, usepg_manage_schemawith explicit opt-in.
⚠️ Excluded from defaults - require `tool=` argument AND `POSTGRES_MCP_ALLOW_WRITE=true`:
| Tool | Operations |
|---|---|
pg_manage_schema | CREATE TABLE, ALTER TABLE, CREATE TYPE |
pg_manage_indexes | CREATE INDEX, DROP INDEX, REINDEX |
pg_manage_constraints | ADD CONSTRAINT, DROP CONSTRAINT |
pg_manage_functions | CREATE FUNCTION, DROP FUNCTION |
pg_manage_triggers | CREATE TRIGGER, DROP TRIGGER, enable/disable |
pg_manage_rls | ENABLE/DISABLE RLS, CREATE/ALTER/DROP POLICY |
pg_manage_users | CREATE/DROP/ALTER USER, GRANT, REVOKE |
pg_execute_mutation | INSERT / UPDATE / DELETE / UPSERT |
pg_execute_sql | Arbitrary SQL with transaction support |
.env file discoveryThe server resolves the .env file in this order:
cwd; takes priority over everythingcwd, searches each parent directory until a .env is found or the filesystem root is reachedIf no .env is found, the server exits with a clear error message.
When VS Code starts the MCP process, cwd is typically the workspace root. If your .env is in a subfolder (e.g. functions/.env), use env-file= to point to it explicitly:
{
"servers": {
"Postgres Tools": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@edelciomolina/postgres-mcp",
"env-file=functions/.env"
],
"env": {
"MCP_KEY_HOST": "DB_HOST",
"MCP_KEY_PORT": "DB_PORT",
"MCP_KEY_NAME": "DB_NAME",
"MCP_KEY_SSLMODE": "DB_SSLMODE",
"MCP_KEY_USER": "DB_USER",
"MCP_KEY_PASS": "DB_PASS"
}
}
}
}💡 The upward search behavior handles the common case automatically. Use env-file= when you need explicit control (CI, monorepos, Docker bind-mounts).| Tool | Description |
|---|---|
pg_execute_query | SELECT / COUNT / EXISTS with write and multi-statement guards |
pg_manage_query | EXPLAIN plans, slow query analysis, pg_stat_statements |
pg_inspect_schema | Schema info and ENUM types (read-only introspection) |
pg_get_setup_instructions | Setup instructions per platform |
pg_analyze_database | Performance, configuration, and storage analysis |
pg_monitor_database | Real-time monitoring of connections, queries, locks, and replication |
pg_debug_database | Diagnose connections, locks, performance, and replication |
pg_inspect_database_graph | Build a full knowledge graph of the database: schemas, tables, columns, FKs, indexes, inferred relations, and business domains |
pg_describe_table_semantics | Describe a table with semantic context: risk level, column roles, sensitive columns, and related tables |
pg_find_related_tables | Find tables related to a given table via explicit FKs and inferred naming patterns, with path explanation |
pg_classify_query_risk | Classify query risk (safe / warning / review / blocked) without executing it |
tool= argument + POSTGRES_MCP_ALLOW_WRITE=true)| Tool | Description |
|---|---|
pg_manage_schema | Schema info, create/alter tables, manage ENUMs |
pg_manage_indexes | List, create, drop, reindex, analyze index usage |
pg_manage_constraints | List, create, and drop constraints and foreign keys |
pg_manage_functions | List, create, and drop functions and procedures |
pg_manage_triggers | List, create, drop, enable/disable triggers |
pg_manage_rls | Row-Level Security policies |
pg_manage_users | User permissions, create/drop/alter users, grant/revoke |
pg_execute_mutation | INSERT / UPDATE / DELETE / UPSERT with parameterized queries |
pg_execute_sql | Arbitrary SQL execution with optional transaction support |
The four pg_*_graph / pg_*_semantics / pg_*_risk tools build an in-memory knowledge graph of your database at runtime. This gives the LLM a structured map - schemas, tables, columns, foreign keys, inferred relations, risk levels, and business domains - without executing any query against your data.
All inferred fields (column semantic roles, table probable types, inferred relations) are clearly tagged so the LLM knows to treat them as hints, not schema facts.
mcp-config.json)Place a mcp-config.json file beside your .env to tune the semantic layer and security limits. All fields are optional - omitting the file applies safe defaults.
{
"security": {
"defaultLimit": 100,
"maxLimit": 1000,
"blockedSchemas": ["pg_catalog", "information_schema"],
"blockedTables": [],
"requireLimit": true
},
"semanticLayer": {
"enabled": true,
"inferRelationsWithoutForeignKeys": true,
"inferBusinessEntities": true,
"sensitiveKeywords": ["password", "secret", "token", "api_key", "ssn", "hash"]
}
}For a detailed view of the communication flow between the MCP client, the proxy, and PostgreSQL - including the full sequence diagram - see ARCHITECT.md.
MIT © Edelcio Molina
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