Skip to main content
Glama
r-darwish

daruma

by r-darwish
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Local

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": false
}
prompts
{
  "listChanged": false
}
resources
{
  "subscribe": false,
  "listChanged": false
}
experimental
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
get_current_contextA
Resolves the repository name, monorepo component, and active technology stack for a given directory path.
Use this to determine the exact coordinates of your current workspace.

Parameters:
  - directory: The absolute path of the current workspace directory (REQUIRED).
store_lessonB
Stores a learned lesson based on the current directory context.

Parameters:
  - directory: The absolute path of the current workspace directory (REQUIRED).
  - title: Descriptive title of the lesson
  - content: Full lesson body (markdown format)
  - scope: Can be 'component' (folder-level), 'repository' (project-wide), or 'global' (cross-project rules)
  - tags: Optional comma-separated categories (e.g. "concurrency, mutex")
list_context_lessonsB
Retrieves titles and metadata of applicable lessons matching your current context.
This automatically searches and aggregates Component, Repo, Tech-specific, and Global layers,
sorted by architectural priority.

Parameters:
  - directory: The absolute path of the current workspace directory (REQUIRED).
read_lessonA
Retrieves the full content of a specific lesson by its unique ID.
Use this once you see a relevant title in list_context_lessons to read its full guidelines.
search_lessons_by_tagB

Searches for lessons globally matching a specific tag (e.g., 'security', 'css', 'concurrency'), regardless of repository or component context boundaries.

get_recent_merged_changesA
Retrieves recent committed/merged changes made by you in this project.
Use this to pull historical code patterns, review modifications, and study successful merges.
Works seamlessly in standard Git checkouts and Jujutsu (jj) co-located checkouts.

Parameters:
  - directory: The absolute path of the current workspace directory (REQUIRED).
  - count: The number of recent changes to retrieve (default: 10).

Prompts

Interactive templates invoked by user choice

NameDescription
reflect_on_milestone Launches a reflection prompt guiding you to store lessons learned from recent achievements, PR feedback, or bug fixes.

Resources

Contextual data attached and managed by the client

NameDescription
get_daruma_instructions Returns the operational core instructions for AI agents regarding Daruma. Agents should read this at start-up.
Deploy Server
One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

TDQS

A3.7/5.0

Scored across 6 tools

Disambiguation5/5

Each tool has a clearly distinct purpose: workspace context, recent changes, lesson listing, reading, searching, and storing. No two tools could be confused even with less-than-perfect descriptions.

Naming Consistency5/5

All tools use consistent verb_noun patterns with underscores (e.g., get_current_context, list_context_lessons, store_lesson). No mixing of cases or styles.

Tool Count5/5

Six tools is well-scoped for the server's domain of context-aware lesson management. Each tool earns its place without being excessive or insufficient.

Completeness3/5

Covers core CRUD for lessons (create via store_lesson, read via list/read/search) but lacks update and delete operations. Context and history tools are read-only, which is acceptable, but lesson lifecycle is incomplete.

Maintenance

ActivityStale
ResponsivenessNo issues

Resources