Skip to main content
Glama
Spyglass-AI

Spyglass AI MCP Server

Official
by Spyglass-AI

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
SPYGLASS_API_KEYYesAPI Key for authentication with Spyglass agent
SPYGLASS_AGENT_ENDPOINTNoAgent endpoint URL (useful for local testing)https://agent.spyglass-ai.com

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

Tools

Functions exposed to the LLM to take actions

NameDescription
call_spyglass_agentA

Call the Spyglass AI agent with a natural language query about your telemetry data.

Args: query: Natural language query about telemetry data (e.g., "What are the slowest endpoints?")

Returns: Analysis result from the Spyglass AI agent

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

A3.7/5.0

Scored across 1 tool

Disambiguation5/5

Only one tool exists, so there is no possibility of ambiguity between tools.

Naming Consistency5/5

The single tool name 'call_spyglass_agent' follows a clear verb_noun pattern, which is consistent and descriptive.

Tool Count3/5

A single tool for telemetry data analysis feels thin; typical telemetry servers offer multiple operations (e.g., list, get, query).

Completeness2/5

The tool only allows querying via an AI agent, with no tools for data exploration, configuration, or management, leaving significant gaps in the expected functionality.

Maintenance

ActivityInactive
ResponsivenessNo issues