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Glama
Saul4432

agentic-orchestrator MCP server

by Saul4432

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault

No arguments

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
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
run_taskA

Run a goal through the multi-agent orchestrator (planner → specialists with tools → critic loop). Sensitive actions are held for human approval, never auto-executed.

get_traceA

Return the full agent/tool trace of the last run_task call.

get_metricsA

Return aggregate metrics (LLM calls, tool calls, revisions) of the last run.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

A4.1/5.0

Scored across 3 tools

Disambiguation5/5

Each tool targets a distinct function: run_task for execution, get_trace for trace retrieval, get_metrics for metrics. No overlap in purpose.

Naming Consistency5/5

All tools follow a consistent verb_noun pattern (run_task, get_trace, get_metrics) using underscores.

Tool Count4/5

Three tools is minimal but appropriate for the core orchestration workflow (run, trace, metrics). Slightly light for broader management but well-scoped.

Completeness3/5

Covers the main execution and monitoring flow, but lacks operations like listing past runs, canceling tasks, or configuring agents, leaving notable gaps.