Skip to main content
Glama

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
PORTNoHTTP server port3000
DEBUGNoEnable debug console output (true|false)false
LOG_LEVELNoLogging level (error|warn|info|debug)info
GEMINI_MODELNoGemini model to use for queries (options: gemini-2.5-pro, gemini-2.5-flash)gemini-2.5-pro
GOOGLE_API_KEYYesYour Google API key with Gemini API access
STORE_DISPLAY_NAMEYesDisplay name for your vector store/knowledge base

Tools

Functions exposed to the LLM to take actions

NameDescription
upload_file

Upload a file to the FileSearchStore for RAG indexing. The file will be processed and made searchable.

upload_content

Upload text content to the FileSearchStore for RAG indexing. The content will be processed and made searchable.

query

Query the FileSearchStore using RAG (Retrieval-Augmented Generation) to get answers based on uploaded documents. The AI will search through the documents and provide relevant answers with citations.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/masseater/gemini-rag-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server