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Glama

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
PORTNoPort for HTTP mode3000
VECFS_FILENoPath to the vector storage file./vecfs-data.jsonl

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

CapabilityDetails
tools
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
searchB

Search the vector space using a sparse or dense vector.

memorizeA

Store a new entry in the vector space. Updates the entry if the ID already exists.

feedbackC

Record feedback for a specific memory entry.

deleteB

Delete an entry from the vector space by its unique ID.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

B3.4/5.0

Scored across 4 tools

Disambiguation5/5

Each tool has a unique purpose: delete removes by ID, feedback records feedback, memorize stores/updates, and search queries by vector. There is no overlap in functionality.

Naming Consistency5/5

All tool names are lowercase verbs (delete, feedback, memorize, search), following a consistent single-word verb naming pattern.

Tool Count5/5

4 tools is perfectly scoped for a vector memory server, covering core operations (create/update, read by search, delete) plus feedback.

Completeness3/5

Covers main operations but lacks a direct retrieval tool for entries by ID; the search tool only works with vectors, so viewing a specific entry by ID is not possible.

Maintenance

ActivityInactive
ResponsivenessNo issues