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Glama

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
GITHUB_TOKENNoGitHub personal access token for higher API rate limits when searching repositories.
GOOGLE_CSE_IDNoGoogle Custom Search Engine ID. Required if GOOGLE_CSE_KEY is set.
GOOGLE_CSE_KEYNoGoogle Custom Search API key. Falls back to DuckDuckGo if not provided.
OPENAI_API_KEYNoAPI key for OpenAI or compatible API for LLM intent parsing. Alternative to ANTHROPIC_API_KEY.
OPENAI_BASE_URLNoCustom endpoint for OpenAI-compatible API (e.g., Ollama, LM Studio). Ignored without OPENAI_API_KEY.
ANTHROPIC_API_KEYNoAPI key for Anthropic (Claude Haiku) for LLM intent parsing. Recommended for richer analysis.

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
}
prompts
{
  "listChanged": false
}
resources
{
  "subscribe": false,
  "listChanged": false
}
extensions
{
  "io.modelcontextprotocol/ui": {}
}
experimental
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
prelaunch_checkA

Check if a product idea already exists before building it.

A smarter pre-build reality check that uses LLM-powered intent parsing (when API key is available) and multi-source scanning.

Uses:

  • Discuss new project ideas

  • Check competition

  • Validate market demand

  • Find if something has been built before

Environment variables (user provides their own):

  • ANTHROPIC_API_KEY or OPENAI_API_KEY — for LLM-powered intent parsing (optional but recommended)

  • GITHUB_TOKEN — for higher GitHub API rate limits (optional)

  • GOOGLE_CSE_KEY + GOOGLE_CSE_ID — for Google search (optional, DuckDuckGo fallback)

Args: idea_text: Natural-language description of the idea. depth: - "quick": GitHub + HN only, no LLM (fastest) - "standard": All sources in parallel + LLM intent parsing (recommended) - "deep": Everything in standard + extra query variants (most thorough)

Returns: Reality check report with competition score, demand score, evidence, similar projects, pain signals, and actionable insights.

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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curl -X GET 'https://glama.ai/api/mcp/v1/servers/Heman10x-NGU/prelaunch-mcp'

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