Shared-Memory MCP
by 0xC0FFEEBEEF
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| PYTHONPATH | Yes | Set to the project root so `python -m memory.mcp_server` can be imported when an MCP client launches the server from its own working directory. | |
| DATABASE_URL | No | Async SQLAlchemy database URL. Override to point at any PostgreSQL; all clients should use the same URL to share one canonical history. | postgresql+asyncpg://memory:memory@localhost:5433/memory |
| PG_POOL_SIZE | No | asyncpg connection pool size. | 10 |
| PG_MAX_OVERFLOW | No | asyncpg connection pool max overflow. | 10 |
| MEMORY_USE_EMBEDDINGS | No | Set to 1 to enable the optional local pgvector embedding and hybrid semantic search. Off by default. | 0 |
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
ActivityMaintained
ResponsivenessNo recent community issues