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Glama

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
CREATOROS_API_KEYNoOptional CreatorOS Developer Pass key for Pro tier access and higher rate limits.

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
creatoros_extractA

Extracts readable main content from any public web page URL and converts it into clean, noise-free Markdown optimized for LLM context, summarization, and RAG pipelines. Strips advertisements, navigation headers, cookie banners, and scripts while preserving headings, lists, tables, and code blocks.

When to use:

  • Call this tool when the user provides a specific URL or asks to read, scrape, summarize, or analyze documentation, blog posts, news articles, or API references from the web.

When NOT to use:

  • Do not use for keyword searches without a known URL (use creatoros_search instead).

  • Do not use for private intranet pages or sites behind interactive authentication/login walls.

Behavior:

  • Idempotent and read-only. Does not mutate server state.

  • Returns extracted Markdown as plain text.

creatoros_searchA

Executes an autonomous live web search for fresh information and automatically extracts deep Markdown content from the highest-ranking search result pages. Combines web search retrieval and web scraping in a single step for AI agents.

When to use:

  • Use when you need real-time, up-to-date web information, breaking news, latest documentation, or answers to queries where no specific target URL is provided.

When NOT to use:

  • If the user has already provided an exact web URL to scrape, use creatoros_extract instead.

Behavior:

  • Read-only and non-destructive.

  • Returns a structured Markdown document containing top ranked titles, URLs, text snippets, and extracted page content.

creatoros_speakA

Converts English text into natural, studio-quality speech audio with human inflection and cadence using the CreatorOS Neural Voice Studio. Returns a playable audio URL or audio stream.

When to use:

  • Use when the user requests spoken voice responses, podcast narration, voiceover scripts, or audio synthesis of text.

When NOT to use:

  • Do not use for text extraction, web scraping, or non-audio tasks.

Behavior:

  • Synthesizes neural audio on demand. Free tier supports up to 250 characters per generation; Pro Pass supports up to 5,000 characters.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

A4.4/5.0

Scored across 3 tools

Disambiguation5/5

Each tool targets a distinct capability: URL-to-Markdown extraction, query-based web search, and text-to-speech. The descriptions explicitly cross-reference each other ('use creatoros_search instead', 'use creatoros_extract instead'), leaving no realistic path for misselection even where extract and search both return Markdown.

Naming Consistency5/5

All three tools use the same creatoros_ prefix followed by a single clear verb (extract, search, speak). No mixing of camelCase, noun-phrases, or version suffixes; the pattern is fully predictable.

Tool Count4/5

Three tools is on the lean side but each covers a genuinely separate operation with no filler or redundant variants. Slightly thin for a server branded as a general 'creator' platform, but well-scoped for the read-and-speak niche it actually covers.

Completeness4/5

The read (extract/search) and output (speak) lifecycle is fully covered with no dead ends within the stated scope, and read-only behavior is explicit. Minor gaps exist—no batch/multi-URL extraction, no summarization or caching of fetched content—but agents can work around these by chaining calls.

Maintenance

ActivityMaintained
ResponsivenessNo issues