pg-semantic-mcp
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| LLM_MODEL | No | LLM model name | gpt-4o-mini |
| LLM_API_KEY | No | Required for search_schema | |
| DATABASE_URL | Yes | PostgreSQL connection string | |
| LLM_BASE_URL | No | OpenAI-compatible endpoint | https://api.openai.com/v1 |
| CACHE_SCHEMAS | No | Comma-separated schema names to cache | all |
| SEMANTIC_FILE | No | Path to your semantic layer markdown | |
| SAMPLE_DATA_LIMIT | No | Default row count for sample_data | 5 |
| CACHE_REFRESH_MINUTES | No | Background cache refresh interval | 30 |
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": true
} |
| logging | {} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| extensions | {
"io.modelcontextprotocol/ui": {}
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| list_tablesA | List all tables in the database with their comments. |
| describe_tableB | Return column metadata for a table. |
| sample_dataB | Return sample rows from a table. |
| search_schemaA | Semantically search tables and columns by keyword using LLM. Combines the in-memory schema cache and the semantic layer markdown (if configured) into a prompt, then calls the configured LLM to find relevant tables and columns. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
Latest Blog Posts
- Who's Calling? MCP Hosts Are an Identity Blind Spot (And the Spec Knows It)By Om-Shree-0709 on .mcpAgent IdentityOAuth 2.1
- Your AI Chatbot Just Exposed Your CEO's Salary to an InternBy Om-Shree-0709 on .Agent IdentityMCP SecurityOAuth Delegation
- Why MCP Servers Need Execution Sandboxing (And Why Your Current Stack Isn't Enough)By Om-Shree-0709 on .Agentic AiPrompt InjectionWebAssembly
MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/chncaesar/db-semantic-mcp'
If you have feedback or need assistance with the MCP directory API, please join our Discord server