Skip to main content
Glama

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
AWS_REGIONYesAWS region for Bedrock (must support Cohere Embed v4, Rerank 3.5, and Claude, e.g., us-west-2)
QDRANT_URLYesQdrant Cloud cluster URL (e.g., https://xyz.us-west-1-0.aws.cloud.qdrant.io)
QDRANT_API_KEYYesQdrant Cloud API key
AWS_ACCESS_KEY_IDYesAWS access key ID for Bedrock access
AWS_SECRET_ACCESS_KEYYesAWS secret access key for Bedrock access

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": false
}
prompts
{
  "listChanged": false
}
resources
{
  "subscribe": false,
  "listChanged": false
}
experimental
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
ask_expertsA

Ask the mixture of domain experts a question.

The server routes the question to the most relevant expert knowledge base(s), runs hybrid retrieval + reranking, and returns the best-supported passages. EACH passage includes a citation (title, author, location). You MUST cite these sources in your answer using their bracket numbers, and answer only from them.

Args: question: The natural-language question. top_k: Max passages to return (default 8). experts: Optional list of expert names to force; omit to auto-route. synthesize: If true, the server also returns a grounded, cited answer string.

list_expertsA

List the available domain experts and how much each one knows.

get_sourceB

Fetch metadata about a cited source (to expand or verify a citation).

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription
experts_resourceBrowsable list of experts.

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/tiennt235/moe'

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