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Glama

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
LOG_LEVELNoLogging level (DEBUG, INFO, WARNING, ERROR)INFO
PYTHONPATHNoPython module search path/app
PYTHONUNBUFFEREDNoDisable Python output buffering1
MCP_MEMORY_FORCE_CPUNoForce CPU-only mode (0 or 1)0
SIMILARITY_THRESHOLDNoThreshold for similarity search (0.0 to 1.0)0.7
MAX_RESULTS_PER_QUERYNoMaximum number of results returned per query10
MCP_MEMORY_CHROMA_PATHNoPath to ChromaDB storage directory/app/chroma_db
MCP_MEMORY_BACKUPS_PATHNoPath to backups storage directory/app/backups
PYTORCH_ENABLE_MPS_FALLBACKNoEnable MPS fallback for Apple Silicon (0 or 1)1

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

NameDescription
store_memoryC

Store new information with optional tags

retrieve_memoryC

Find relevant memories based on query

search_by_tagC

Search memories by tags

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

B3/5.0

Scored across 3 tools

Disambiguation5/5

Each tool has a clearly distinct purpose: retrieve_memory finds memories based on content queries, search_by_tag filters by tags, and store_memory creates new entries. There is no overlap or ambiguity between these three operations.

Naming Consistency5/5

All tools follow a consistent verb_noun pattern (retrieve_memory, search_by_tag, store_memory) with snake_case throughout. The naming is predictable and uniform across the set.

Tool Count3/5

With only 3 tools, the set feels minimal but functional for a memory service. It covers basic operations (store, retrieve, search), but lacks advanced features like updating or deleting memories, which might be expected in a more comprehensive service.

Completeness3/5

The tools provide core CRUD-like operations for storing and retrieving memories, but there are notable gaps: no update_memory or delete_memory tools, which limits lifecycle management. Agents can work around this for basic use but may encounter dead ends for modifications.

Maintenance

ActivityActive
ResponsivenessResponsive