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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": true
}

Tools

Functions exposed to the LLM to take actions

NameDescription
generate_cv_pdfA

Generate a pixel-perfect PDF of a CV/resume using the CV Maker app at https://resume.nigamelastic.com/.

The tool accepts a structured CV JSON object and an optional template name, then:

  1. Launches a local headless browser

  2. Navigates to the live CV Maker site

  3. Injects the CV data into the browser's localStorage (data never leaves this machine)

  4. Waits for the React app to render the CV preview

  5. Exports the rendered page as an A4 PDF with print backgrounds

  6. Saves the PDF to a temp file and returns the file path

Available templates: standard, modern, minimal, elegant, sidebar, tech, europass, executive

export_cv_jsonB

Save a generated CV to a local JSON file. This acts as a 'profile' you can reload later.

import_cv_jsonB

Load a previously saved CV JSON profile from your hard drive structure into the context.

get_available_templatesA

Fetches a list of valid template string IDs supported by CV Maker.

extract_resume_dataA

A helper tool for validating AI-extracted resume/LinkedIn text into a strict CV JSON format. Pass your organically constructed JSON against this to assert validity before generating PDFs or Profiles.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

A4/5.0

Scored across 5 tools

Disambiguation5/5

Each tool has a clearly distinct purpose: generating PDFs, saving/loading profiles, fetching templates, and validating CV data. There is no ambiguity between them, as the actions and inputs are well-differentiated.

Naming Consistency5/5

All tool names follow a consistent verb_noun snake_case pattern (generate_cv_pdf, export_cv_json, import_cv_json, get_available_templates, extract_resume_data). This predictability makes the toolset easy to navigate.

Tool Count5/5

With 5 tools, the server is well-scoped for its domain of CV generation and profile management. Every tool serves a necessary function without bloat, fitting comfortably within the ideal range.

Completeness5/5

The tool surface covers the full lifecycle: fetching templates, validating/creating CV data, generating PDFs, and persisting/reloading profiles. There are no missing operations that would hinder a typical agent workflow.

Maintenance

ActivityInactive
ResponsivenessNo issues