Skip to main content
Glama

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
FRAMEDECK_API_KEYYesYour API key from framedeck.app > Settings > API Keys

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

Server capabilities have not been inspected yet.

Tools

Functions exposed to the LLM to take actions

NameDescription

No tools

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

B3.4/5.0

Scored across 32 tools

Disambiguation4/5

Tools are semantically distinct with clear resource targeting (card vs board vs column vs label) and action specificity (create vs duplicate vs graduate, add vs toggle). While the large set creates cognitive load, descriptive prefixes prevent overlap between similar operations like list_cards (filtered) and search_cards (keyword across all boards).

Naming Consistency5/5

Exemplary consistency across all 32 tools. Every name follows snake_case with standardized verb_object structure (e.g., create_card, add_labels_to_card, set_active_board, toggle_checklist_item). Verbs are uniform throughout the CRUD and lifecycle operations.

Tool Count2/5

32 tools significantly exceeds the threshold for effective agent selection (25+). The surface is overly granular, exposing fine-grained operations (separate tools for color, checklist items, single vs batch create) that could be consolidated into parameters, increasing selection error rates.

Completeness4/5

Strong coverage of the project management domain including full card lifecycle, board/column management, labeling, assignment, time tracking, and git integration. Minor gaps exist (no delete board, no update/delete comment), but core video production workflows (graduate_to_production, Idea Pool) are well supported.

Maintenance

ActivityInactive
ResponsivenessNo issues