Skip to main content
Glama
michal7kw
by michal7kw

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault

No arguments

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
{
  "listChanged": true
}
logging
{}
prompts
{
  "listChanged": false
}
resources
{
  "subscribe": false,
  "listChanged": false
}
extensions
{
  "io.modelcontextprotocol/ui": {}
}
experimental
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
qdrant_storeC

Store information in the Qdrant database with GPU-accelerated embeddings.

qdrant_findC

Search for relevant information in the Qdrant database using semantic similarity.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

B3.2/5.0

Scored across 2 tools

Disambiguation5/5

The two tools, qdrant_store and qdrant_find, have entirely distinct purposes—one writes data, the other retrieves it. There is zero ambiguity between them.

Naming Consistency5/5

Both tools follow a consistent 'qdrant_<verb>' pattern, using clear action verbs (store, find). The naming is predictable and uniform.

Tool Count3/5

With only two tools, the server feels thin for what is typically a database domain, but it is not an extreme mismatch. It sits at the borderline of adequacy.

Completeness2/5

The server only provides store and find, lacking any management operations like delete, update, or list. For a database, this is a significant gap that will limit workflow coverage.

Maintenance

ActivityInactive
ResponsivenessNo issues