Skip to main content
Glama

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
GEMINI_API_KEYNoAPI key for Gemini, required for model calls using Gemini.
OPENAI_API_KEYNoAPI key for OpenAI, required for model calls using OpenAI.
ANTHROPIC_API_KEYNoAPI key for Anthropic, required for model calls using Anthropic.

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
}

Tools

Functions exposed to the LLM to take actions

NameDescription
list_providersA

Lists which AI providers (claude, openai, gemini) currently have API keys configured and are usable in the other tools.

list_agentsA

Lists the specialists registered for run_orchestrator: id, role, which provider currently performs the role, and whether the specialist gathers external evidence. Pass these ids in run_orchestrator's workers array instead of redeclaring each specialist.

list_modelsA

Lists what each model can do as wired up in this codebase — not what its vendor advertises. Use it to see which models support grounded retrieval, and which have verified pricing.

run_pipelineA

Runs a sequential pipeline where each step is handled by a chosen AI provider, and each step's output feeds into the next step's input (accessible via {{input}} in promptTemplate).

run_orchestratorA

A Chief provider classifies the task's complexity, picks the minimum sufficient set of specialists, gives each one coherent mission, then a synthesizer merges their results into one final answer. Specialist count is capped by complexity (simple 1, normal 3, deep 4). Returns a run report: SUCCESS/DEGRADED/FAILED plus an evidence label, and a deep answer with no evidence behind it is marked UNVERIFIED in the output itself.

run_debateA

Multiple AI providers independently answer the same question, then critique each other's answers over one or more rounds, and finally a judge provider synthesizes or selects the best final answer.

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/qqqq8413-cyber/ai-collab-mcp-notes'

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