Postgres MCP Pro
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| ACCESS_MODE | No | Access mode: restricted (read-only) or unrestricted (read-write) | unrestricted |
| DATABASE_URI | Yes | PostgreSQL connection URI, e.g., postgresql://user:password@host:5432/dbname | |
| OPENAI_API_KEY | No | Optional OpenAI API key for experimental index tuning |
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": false
} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| list_schemasA | List all schemas in the database |
| list_objectsC | List objects in a schema |
| get_object_detailsB | Show detailed information about a database object |
| explain_queryA | Explains the execution plan for a SQL query, showing how the database will execute it and provides detailed cost estimates. |
| analyze_workload_indexesB | Analyze frequently executed queries in the database and recommend optimal indexes |
| analyze_query_indexesA | Analyze a list of (up to 10) SQL queries and recommend optimal indexes |
| analyze_db_healthA | Analyzes database health. Here are the available health checks:
|
| get_top_queriesA | Reports the slowest or most resource-intensive queries using data from the 'pg_stat_statements' extension. |
| execute_sqlB | Execute any SQL query |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 9 tools
Each tool targets a distinct aspect of database management: health checks, index analysis, SQL execution, query explanation, object details, and listing. No tools have overlapping purposes; an agent can easily distinguish them.
All tool names follow a consistent verb_noun snake_case pattern (e.g., analyze_db_health, execute_sql, list_schemas). The verb choices vary appropriately per action, maintaining predictability.
With 9 tools, the set is well-scoped for database analysis and management. Each tool serves a clear purpose without redundancy, and the count feels neither too sparse nor bloated.
The tool surface covers core database analysis needs: health checks, index recommendations, query execution and explanation, object browsing, and performance insights. Missing operations like object creation can be handled via execute_sql, so no critical gaps exist.