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Glama
edgegap

Edgegap MCP Server

Official
by edgegap

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
EDGEGAP_API_TOKENNoAPI token. Optional — omit it and the developer is asked at first use. The `token ` prefix is added for you.
EDGEGAP_READ_ONLYNoSet to `1` and the five mutating tools are never registered. The agent cannot see them, so it cannot be talked into calling them.0
EDGEGAP_TIMEOUT_MSNoPer-request HTTP timeout.30000
EDGEGAP_APP_ALLOWLISTNoComma-separated application names. When set, every tool refuses to touch anything else.
EDGEGAP_MAX_DURATION_MINUTESNoCeiling on `max_duration` the agent may set on a version. Caps runaway cost from an unattended agent.60

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
edgegap_list_appsA

List the applications in the Edgegap organization. Start here before creating or deploying anything, so you reuse an existing application instead of making a duplicate. An "application" groups versions of one game server.

edgegap_create_appA

Create a new application to hold game server versions. Only call this after edgegap_list_apps confirms no suitable application exists. Creating an application does not deploy anything — follow with edgegap_create_app_version.

edgegap_list_app_versionsA

List the versions under an application, with their container image and resource settings. Use this to find the version name to deploy, or to copy settings from a working version when creating a new one.

edgegap_create_app_versionA

Register a container image as a deployable version of an application. The image must already be pushed to a registry that Edgegap can pull from. Resource units: 1024 cpu units = 1 vCPU; memory_mb must be at least 256 and at most double the cpu units. Set verify_image true on the first version so a bad image fails here rather than at deploy time. Avoid the "latest" docker tag — use a build ID so deployments are reproducible.

edgegap_deployA

Start one containerized instance of an application version, placed near the players you specify. Returns immediately with a request_id; the server is still starting and has no connection details yet. Follow this call with edgegap_wait_for_deployment to get the address players connect to. Always stop deployments you started for testing.

edgegap_get_deploymentA

Read the current status of one deployment, including connection address and ports once it is ready. For a deployment you just created, prefer edgegap_wait_for_deployment — it polls for you instead of making you call this in a loop.

edgegap_wait_for_deploymentA

Poll a deployment until it is ready, errors, or the timeout expires, then return the connection details. This is the tool to call right after edgegap_deploy. Do not build your own polling loop — this handles backoff and reports the container error detail if the server fails to start.

edgegap_list_deploymentsA

List active deployments, optionally filtered. Use this to find deployments left running from earlier sessions before starting new ones — orphaned servers cost money.

edgegap_stop_deploymentA

Gracefully stop one deployment by request_id, sending SIGTERM to the container. Stop every deployment you started for testing before ending your task. This tool stops exactly one deployment; bulk stop is deliberately not exposed.

edgegap_get_deployment_logsA

Retrieve stdout/stderr and crash output for a deployment. Call this whenever a deployment errors or a server exits unexpectedly — the crash exit code usually identifies the problem faster than redeploying does. Logs for stopped deployments are only retained if Endpoint Storage was configured on the version beforehand.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

A4.2/5.0

Scored across 10 tools

Disambiguation5/5

Each tool targets a distinct resource and action: apps, versions, deployments, and logs. The only close pair is get_deployment vs wait_for_deployment, but their descriptions explicitly distinguish one-shot status read from polling helper, so there is no real ambiguity.

Naming Consistency4/5

All tools share the edgegap_ prefix and mostly follow a verb_noun pattern (list_deployments, create_app, get_deployment_logs). Minor deviations like the bare verb 'deploy' and 'wait_for_deployment' are still predictable and readable.

Tool Count5/5

With 10 tools covering apps, versions, and deployments, the count is well-scoped for the domain. Each tool maps to a clear lifecycle step, and no tool feels redundant.

Completeness4/5

The core workflow is fully covered: create/list apps, create/list versions, deploy, wait, get status, logs, and stop. Missing update/delete for apps/versions and bulk stop are minor gaps, but agents can complete typical tasks without dead ends.

Maintenance

ActivityMaintained
ResponsivenessNo issues