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Glama
predgeAI

predge-alexa-mcp

by predgeAI

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
PORTNoHTTP port8787
AWS_REGIONNoBedrock regionus-east-1
PREDGE_APINoPredge API basehttps://api.predge.io
PREDGE_KEYNoPilot key for `verify_delivery` (sent as `x-predge-key`). Without it that tool says so and makes no call. Never commit it.
AWS_PROFILENoStandard AWS SDK credential chain profile (other AWS SDK credentials variables are also supported).
MCP_AUTH_TOKENNoRequire a bearer token on `/mcp`.
BEDROCK_MODEL_IDNoBedrock model or inference profile for the demo agent. Must be enabled for your account.us.anthropic.claude-sonnet-4-5-20250929-v1:0
AGENT_FORCE_FALLBACKNoSet to `1` to skip Bedrock and use the deterministic fallback router.

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

Server capabilities have not been inspected yet.

Tools

Functions exposed to the LLM to take actions

NameDescription

No tools

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources