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Glama

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
GITHUB_TOKENNoGitHub personal access token (fine-grained with public repo access) to increase API rate limits. Optional; unauthenticated requests work with lower limits.
ANTHROPIC_MODELNoAnthropic model name (e.g., claude-sonnet-5, claude-opus-4-8). Currently read but unused until v0.2.
ANTHROPIC_API_KEYNoAnthropic API key for Claude model access. Currently read but unused until v0.2.

Capabilities

Features and capabilities supported by this server

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

Tools

Functions exposed to the LLM to take actions

NameDescription
fetch_github_reposA

Fetch a GitHub user's public profile and repositories.

Use this to ground resume advice in someone's real GitHub activity: it returns their profile summary plus every public repo with stars, primary language, and creation / last-push dates. Handles users with no public repositories gracefully.

Args: username: The GitHub login to look up (e.g. "octocat").

analyze_resumeA

Find which resume claims a GitHub profile does and doesn't back up.

Extracts the strongest, most concrete claims from the resume, cross-references them against the user's real public repositories, and returns a gap report: which claims have public GitHub evidence and which are gaps to close. Handles an empty or thin GitHub gracefully — that's the common case for engineers whose work lives in private repos, and the report frames it as the gap to close.

Args: resume_text: The full text of the resume to analyze. username: The GitHub login whose public repos ground the analysis.

suggest_projectsA

Prescribe a ranked 30-day plan of projects to make a resume credible.

Builds the resume-vs-GitHub gap report, then prescribes specific, shippable projects to close the highest-value gaps: each is tied to a concrete resume claim it would prove, sized ("a weekend" / "a week"), and scoped (what to skip). This is the star tool — the prescription, not just the diagnosis. Handles an empty or thin GitHub as the main case: it prescribes what to build from scratch rather than reporting that there's nothing to show.

Args: resume_text: The full text of the resume to ground suggestions in. username: The GitHub login whose public repos ground the analysis.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

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