pgmnemo
by pgmnemo
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| MCP_PORT | No | Port for HTTP/SSE transport | 8765 |
| DATABASE_URL | No | libpq connection string | postgresql://localhost/pgmnemo |
| EMBEDDING_DIM | No | Expected embedding dimension. Must match vector(1024) (e.g. bge-m3). | 1024 |
| EMBEDDING_MODEL | No | Model name sent in the embeddings request. | |
| EMBEDDING_SERVER | No | OpenAI-compatible embeddings endpoint (e.g. http://server:1234/v1/embeddings). When set, ingest/recall embed text for vector+BM25 hybrid recall. Unset → text-only (BM25) fallback. |
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
Server capabilities have not been inspected yet.
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
No tools | |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
This server cannot be deployed
Maintenance
ActivityActive
ResponsivenessUnresponsive