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Glama

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
AGENTS_DIRYesPath to your agents folder. Must be an absolute path (e.g., /Users/john/my-agents on Mac/Linux or C:\Users\john\my-agents on Windows)
AGENT_TYPEYesWhich AI tool you're using. Set to 'cursor' for Cursor or 'claude' for Claude Code
EXECUTION_TIMEOUT_MSNoHow long agents can run in milliseconds (default: 5 minutes/300000ms, maximum: 10 minutes/600000ms)300000

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
{}
resources
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
run_agentA

Delegate complex, multi-step, or specialized tasks to an autonomous agent for independent execution with dedicated context (e.g., refactoring across multiple files, fixing all test failures, systematic codebase analysis, batch operations). Returns session_id in response metadata - reuse it in subsequent calls to maintain conversation context continuity across multiple agent executions.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription
Agent ListList of available Claude Code sub-agents

TDQS

A3.7/5.0

Scored across 1 tool

Disambiguation5/5

With only one tool, there is no possibility of confusion or misselection between tools. The tool's purpose is clearly described and stands alone.

Naming Consistency5/5

The single tool name 'run_agent' is clear and follows a conventional verb_noun style. There are no other names to contradict a consistent pattern.

Tool Count2/5

A single tool for a server called 'Task Agents' is too few for the apparent scope. Users cannot list, manage, or monitor agents, making the toolset feel extremely thin.

Completeness1/5

The server provides only an invocation operation with no lifecycle management—no status checks, cancellation, listing, or result retrieval mechanisms. This is severely incomplete for a task-agent-oriented server.

Maintenance

ActivityActive
ResponsivenessUnresponsive