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Glama

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
dev_detectB

Detect what kind of project lives at workspace: languages, ecosystems, and the evidence (files) behind each detection. Fast, file-based only.

dev_healthA

Full environment health check: combines project detection, runtime versions, dependency state, required services, ports, and Git state into a 0-100 health_score with concrete issues and recommendations.

dev_driftA

Compare expected project state (required runtime/tool versions from project files) against what's actually installed locally. Reports each mismatch as a structured drift item.

dev_explain_failureA

Diagnose a development failure. Give it the error/output text (and optionally the command that produced it); it cross-references project type, runtimes, services, ports, and dependencies to rank likely root causes with evidence -- never asserting certainty beyond the evidence.

dev_project_infoA

Detailed project inspection: detected ecosystems, runtimes (installed vs required), build tools, test/build commands, environment variables in use, OS info, and Git state. Broader and slower than dev_detect.

dev_dependenciesC

Dependency state per detected ecosystem: package manager, lockfile presence/consistency signals, dependency counts, and whether packages appear installed locally (e.g. node_modules/, .venv/).

dev_servicesA

Local service detection: which services (Postgres, Redis, and compose-defined services) this project appears to need, whether each is currently running/listening, and the evidence behind that conclusion.

dev_checkA

Run recognized project checks (tests/lint) detected from project files, e.g. pytest, ./gradlew test, npm test, cargo test. Only commands DevTwin itself recognized are ever executed (never an arbitrary string), each with a timeout. Pass run to restrict to a subset of the recognized commands (call dev_project_info first to see what's available).

dev_prepareA

Produce a preparation plan for a (likely newly-cloned) repository: ordered steps to align runtimes, start required services, install dependencies, and run the project's build/test commands. This tool NEVER executes anything -- it only plans, and classifies each step's blast radius (read_only/safe/requires_approval/dangerous) for the caller.

dev_precommitA

Read-only commit-readiness summary: Git status (dirty/staged/conflicts), project health, and staged files that look like secrets. Never commits, stages, or modifies anything.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

A3.8/5.0

Scored across 10 tools

Disambiguation5/5

Each tool targets a distinct aspect of the development environment: detection, health, drift, failure diagnosis, project info, dependencies, services, checks, preparation, and precommit. Even similar tools like dev_detect and dev_project_info are clearly differentiated by scope and speed. There is no ambiguous overlap that would cause an agent to select the wrong tool.

Naming Consistency5/5

All tool names follow the consistent pattern `dev_` + lower_snake_case, using descriptive verbs or nouns (detect, health, drift, explain_failure, etc.). The naming convention is uniform and predictable, with no mixing of camelCase or inconsistent verb styles.

Tool Count5/5

With 10 tools, the server is well-scoped and each tool serves a clear purpose within the domain of development environment analysis and preparation. The count is within the ideal range and avoids both bloat and insufficient coverage.

Completeness5/5

The tool set covers the full lifecycle for a diagnostics/preparation server: detection, health assessment, drift checking, failure explanation, dependency and service checks, test execution, preparation planning, and precommit readiness. No obvious gaps exist for the stated purpose, and the tools work together to provide comprehensive environment insight.

Maintenance

ActivityMaintained
ResponsivenessNo issues