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Glama
DeepAgentLabs

deep-agentic-core-mcp

Official

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
{
  "listChanged": false
}
prompts
{
  "listChanged": false
}
resources
{
  "subscribe": false,
  "listChanged": false
}
experimental
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
core.healthA

Return rich server diagnostics: adapter availability, loaded tools/resources/prompts, and recent successful calls.

core.versionA

Return the current server package version.

core.verifyA

Check connectivity to agenticlens, agentic-chaos, agentic-sidecar, and ai-operations-spec, and report readiness.

core.session_stateA

Inspect the artifacts and call history accumulated in a session.

lens.analyze_workflowC

Analyze an AgenticLens-compatible workflow artifact.

lens.report_summaryA

Render a Markdown workflow report and recommendation summary. 'artifact' may be omitted to reuse the session's stored workflow.

lens.compare_runsA

Compare baseline and candidate trace runs for regressions. 'baseline'/'candidate' may be omitted to reuse the session's stored runs.

lens.slo_summaryB

Apply release-gate style SLO thresholds to an evaluation report.

lens.audit_reportC

Return case-by-case evaluation detail for an audit trail.

chaos.list_faultsA

List the supported fault types for chaos experiments.

chaos.run_experimentA

Run a workspace-sandboxed target script under selected chaos faults and report the resulting events.

sidecar.statusA

Report whether agentic-sidecar is importable and whether its decision runtime is actually ready yet.

sidecar.module_inventoryA

List the current scaffolded modules, framework adapters, and integration placeholders present in agentic-sidecar.

spec.validate_artifactB

Validate a workflow or run artifact against the AI Operations v0.4 draft.

Prompts

Interactive templates invoked by user choice

NameDescription
lens.workflow_summarySummarize an analyzed workflow for a human operator.
lens.compare_summarySummarize a baseline-vs-candidate run comparison for a release decision.
chaos.experiment_briefExplain the intent and expected impact of a chaos run.

Resources

Contextual data attached and managed by the client

NameDescription
Sample workflow artifact
Chaos fault catalog

TDQS

A3.7/5.0

Scored across 14 tools

Disambiguation4/5

Each tool is grouped under a clear domain prefix and has a distinct action, but core.health/core.verify both touch readiness and lens.report_summary/lens.slo_summary/lens.audit_report are all report-like. The descriptions clarify the boundaries well, leaving only minor potential for confusion.

Naming Consistency4/5

Names consistently use lowercase dotted namespaces with snake_case and mostly follow a verb_noun pattern (analyze_workflow, compare_runs, run_experiment). A few noun-only names (core.health, core.version, sidecar.status) break the verb-first pattern, but the convention is still predictable.

Tool Count5/5

Fourteen tools is well within the ideal range and each tool serves a distinct purpose across five focused domains. No tool feels redundant or gratuitous for a server covering core diagnostics, lens analysis, chaos, sidecar, and spec validation.

Completeness4/5

The tool set covers the advertised surface well: health/readiness, workflow analysis, run comparison, SLO evaluation, audit, chaos experiments, sidecar inspection, and artifact validation. Minor gaps exist around creating/modifying/storing artifacts, but they may be outside the server's intended scope and do not create obvious dead ends.

Maintenance

ActivityMaintained
ResponsivenessNo issues