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Glama

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
OXIDE_AUTO_START_WEBNoSetting OXIDE_AUTO_START_WEB=true automatically starts the Web UI when the MCP server launchesfalse

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

Server capabilities have not been inspected yet.

Tools

Functions exposed to the LLM to take actions

NameDescription
route_taskB
Intelligently route a task to the best LLM.

Analyzes the task characteristics and automatically selects the most
appropriate LLM service (Gemini for large codebases, Qwen for code review, etc.).

Args:
    prompt: Task description or query
    files: Optional list of file paths to include as context
    preferences: Optional routing preferences
analyze_parallelA
Analyze large codebase in parallel across multiple LLMs.

Distributes files across multiple LLM services for faster analysis.
Ideal for analyzing large codebases with 20+ files.

Args:
    directory: Directory path to analyze
    prompt: Analysis prompt/query
    num_workers: Number of parallel workers (default: 3)
list_servicesA
Check health and availability of all configured LLM services.

Returns status information for all services including:
- Service health (available/unavailable)
- Service type (CLI/HTTP)
- Routing rules configuration

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

A3.6/5.0

Scored across 3 tools

Disambiguation5/5

Each tool has a clearly distinct purpose with no overlap: analyze_parallel handles distributed code analysis, list_services monitors LLM service health, and route_task performs intelligent task routing. The descriptions reinforce these distinct roles, making misselection unlikely.

Naming Consistency5/5

All tools follow a consistent verb_noun pattern with snake_case: analyze_parallel, list_services, and route_task. This predictable naming convention enhances readability and usability across the tool set.

Tool Count3/5

With only 3 tools, the set feels thin for a server named 'Oxide' that appears to manage LLM services and code analysis. While each tool is useful, the scope suggests potential gaps in functionality, such as configuration management or detailed service analytics.

Completeness3/5

The tools cover core operations like analysis, service monitoring, and routing, but there are notable gaps. For example, missing tools for configuring LLM services, managing analysis results, or handling errors could limit agent workflows in this domain.

Maintenance

ActivityInactive
ResponsivenessNo issues