Skip to main content
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
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
analyze_repoB

Analyze a public GitHub repository with OctoCounts and return SLOC totals.

compare_reposB

Compare SLOC totals between two public GitHub repositories or refs.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

A3.5/5.0

Scored across 2 tools

Disambiguation5/5

analyze_repo targets a single repository, while compare_repos targets two repositories or refs. Their boundaries are clear and non-overlapping, so an agent can easily choose the right tool.

Naming Consistency5/5

Both tools follow a consistent verb_noun pattern: analyze_repo and compare_repos. Naming is predictable and uses snake_case throughout.

Tool Count3/5

Two tools is thin for most MCP servers, though this server has a narrow SLOC-counting purpose. The pair covers single-repo analysis and comparison, but feels minimal.

Completeness4/5

The core domain of SLOC totals and comparisons is covered by the two tools. Minor gaps exist around deeper breakdowns or output options, but agents can accomplish the primary workflows.

Maintenance

ActivityActive
ResponsivenessSlow