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Glama

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
WORKBUDDY_HOMENoDesktop MCP/skill configuration root.%USERPROFILE%/.workbuddy
WORKBUDDY_AUTH_FILENoAuthorized desktop account file.%LOCALAPPDATA%/CodeBuddyExtension/Data/Public/auth/workbuddy-desktop.info
WORKBUDDY_INSTALL_DIRNoInstalled application directory.%USERPROFILE%/AppData/Local/Programs/WorkBuddy
WORKBUDDY_LISTENER_DATANoJournal and isolated worker profiles.<checkout>/data
WORKBUDDY_LISTENER_CONFIGNoOptional local overrides.<checkout>/listener.config.json
WORKBUDDY_LISTENER_WORKSPACENoDefault task working directory.<data>/workspace
WORKBUDDY_LISTENER_TASK_TIMEOUT_MSNoMaximum native prompt wait in milliseconds.1800000

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
send_messageB

Start or continue a dedicated WorkBuddy conversation. Returns task_id immediately. Reusing request_id with the same payload is idempotent. Can also reply to a specific pending permission or elicitation using its structured ID.

get_messageB

Read incremental task events after a cursor. Returns next_cursor, has_more, status, and the accumulated answer on terminal tasks. Private reasoning is not collected.

select_modelA

List runtime-reported models (omit model_id) or select one for an idle session. Omit session_id to create a new managed session. Changes are acknowledged by WorkBuddy.

wait_for_messageB

Wait for task events, terminal state or required user input. Timeout returns without stopping the task. Continue with next_cursor.

get_statusC

Get server health and available MCP/skill catalogs, session state, or task state including pending input. A connected worker is not necessarily executing a task.

stop_taskA

Request native task cancellation. Reports cancelling until WorkBuddy confirms cancellation. force=true may terminate only the listener-owned worker after a grace period, never the desktop application.

select_mcp_or_skillsA

List available choices, or select configured MCP servers and SKILL.md instructions for new sessions. Empty arrays disable that category. Omitted fields keep their selection. A running worker keeps its configuration.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

A3.5/5.0

Scored across 7 tools

Disambiguation4/5

Most tools have clearly distinct roles: send_message starts or continues work, stop_task cancels, and the select_* tools configure model or MCP/skills. However, get_message, wait_for_message, and get_status overlap somewhat in observing task events and pending input, which could require careful reading of descriptions to choose correctly.

Naming Consistency5/5

All seven tools follow a consistent snake_case verb_noun pattern such as send_message, get_status, stop_task, and select_model. The naming is predictable and easy to map to actions.

Tool Count5/5

Seven tools is well-scoped for an asynchronous worker interface covering task messaging, observation, cancellation, and configuration. Each tool appears to earn its place without obvious redundancy.

Completeness5/5

The surface covers the full interaction lifecycle: starting/continuing tasks, reading incremental events, waiting for events or input, checking health/status, cancelling tasks, and selecting runtime model and MCP/skill configuration. No obvious operational gaps are apparent for a local async worker.

Maintenance

ActivityMaintained
ResponsivenessNo issues