MCP Vector Memory
by vertexhub-ai
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| PGHOST | No | PostgreSQL host | |
| PGPORT | No | PostgreSQL port | |
| PGUSER | No | PostgreSQL user | |
| PGDATABASE | No | PostgreSQL database name | |
| PGPASSWORD | No | PostgreSQL password | |
| OPENAI_API_KEY | No | OpenAI API key for embeddings | |
| MCP_MEMORY_BACKEND | No | Database backend (sqlite or postgres) | sqlite |
| MCP_MEMORY_DATA_DIR | No | SQLite data directory | ~/.mcp-vector-memory |
| MCP_MEMORY_EMBEDDING_MODEL | No | Embedding model name | all-MiniLM-L6-v2 |
| MCP_MEMORY_EMBEDDING_PROVIDER | No | Embedding provider (local or openai) | local |
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 | |