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Glama

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
CHUNK_SIZEYesThe chunk size for document processing.
VECTOR_URLYesThe URL of the vector database.
VECTOR_API_KEYYesThe API key for the vector database.
EMBEDDING_MODEL_IDYesThe embedding model ID.

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": true
}
resources
{
  "subscribe": false,
  "listChanged": true
}

Tools

Functions exposed to the LLM to take actions

NameDescription
vector_create_collectionC

Create collection (vector_collection_management). Manage collection management operations.

vector_add_documentsC

Add documents (vector_collection_management). Manage collection management operations.

vector_delete_collectionC

Delete collection (vector_collection_management). Manage collection management operations.

vector_list_collectionsC

List collections (vector_collection_management). Manage collection management operations.

vector_semantic_searchC

Semantic search (vector_search). Manage search operations.

vector_lexical_searchC

Lexical search (vector_search). Manage search operations.

vector_searchC

Search (vector_search). Manage search operations.

Prompts

Interactive templates invoked by user choice

NameDescription
connector-statusAsk for this connector server's current operational status.

Resources

Contextual data attached and managed by the client

NameDescription
_connector_status_resourceNative resource exposing this server's static status payload.

TDQS

C2.6/5.0

Scored across 7 tools

Disambiguation3/5

The collection-management tools are mostly distinct, but the search tools overlap: vector_semantic_search and vector_lexical_search are clear, while vector_search is a generic search operation whose relationship to the other two is unclear. This could cause an agent to choose the generic search when a semantic or lexical search is required.

Naming Consistency4/5

All tools use a consistent vector_ snake_case prefix, and most follow a readable verb/object pattern. The main minor deviation is vector_search, which is less descriptive than the modifier_search pattern used by the other search tools.

Tool Count5/5

Seven tools is well within the appropriate range for a focused vector database server. The set covers collection lifecycle and search operations without excessive or redundant tooling.

Completeness3/5

The server covers collection creation, deletion, listing, document addition, and multiple search modes. However, document lifecycle is notably incomplete: there is no tool to update, delete, list, or get documents, and collection inspection/update operations are also missing.

Maintenance

ActivityActive
ResponsivenessSlow