Skip to main content
Glama

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault

No arguments

Capabilities

Features and capabilities supported by this server

CapabilityDetails
tools
{
  "listChanged": true
}

Tools

Functions exposed to the LLM to take actions

NameDescription
review

Multi-perspective architecture review. Analyzes full project context and produces actionable findings from expert viewpoints. Use focus parameter to zoom in on a specific feature, page, or decision. Use perspective_group to select a predefined group (technical/business/founder) instead of listing individual perspectives.

test_translate

Translate test results into plain language. Tells a non-technical founder what the tests cover, what failed, and exactly what still needs manual verification. Produces a 15-minute manual test script.

coach

AI collaboration coach. Analyzes your project setup, development habits, and knowledge blind spots to reveal what you don't know you're doing wrong when working with AI coding tools. Does NOT review code quality (use review for that) — instead reviews YOUR behavior patterns.

idea_score

Score your idea across 10 dimensions with a skeptical default stance. Produces quantitative scores (1-10) for market size, feasibility, moat, revenue, time-to-market, user validation, resource efficiency, scalability, founder fit, and risk/reward. Returns a verdict: CONTINUE, SIMPLIFY, PAUSE, or DELETE.

todo_add

Add an item to the project todo list. All findings from review and coach should be added here.

todo_update

Update a todo item status or details.

todo_list

Show all todo items, optionally filtered by status or priority.

todo_summary

Quick health check: how many items open, in progress, done. Shows top priority items.

recommend

Detect what the project needs and recommend the best tool/service for each scenario. Recommends auth, database, payments, deployment tools etc. based on current task and existing dependencies. Same scenario is not recommended twice.

recommend_dismiss

Dismiss a recommendation scenario so it won't be suggested again. Use when the user says they don't need a recommendation for a particular area.

recommend_reset

Reset all dismissed recommendation scenarios. After reset, recommend will detect and suggest tools again for all scenarios. Also shows what was previously dismissed.

callout_help

Show what Callout can do and how to use it. Call this when a user first connects or asks about Callout.

init

Initialize Callout in a project. Returns CLAUDE.md rules that enable automatic review/coach/recommend triggers. The host should append these rules to the project's CLAUDE.md file.

save_review_findings

Save a summary of review findings to the project history. Call this after completing a review to enable progress tracking across reviews.

set_target_user

Set who the target user of this project is. This is used by the customer perspective in reviews to give feedback as that specific type of user. Auto-detected from README/CLAUDE.md if not set manually.

portfolio

Multi-project overview for founders managing multiple projects. Scans a directory for all projects, shows health status (todos, review history, risks), and asks AI to give resource allocation advice from a founder perspective.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/fantasieleven-code/callout-dev'

If you have feedback or need assistance with the MCP directory API, please join our Discord server