Skip to main content
Glama

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
PROJECT_ROOTYesThe path to your project directory where the MCP memory server will store data and track files

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
start_sessionC

Start a new AI coding session with a specific task

add_session_stepC

Record completion of a step in the current session

add_decisionC

Record an important technical decision

get_project_memoryB

Get current project memory and session state

set_file_approvalC

Set approval status for a file

get_file_approval_statusC

Get approval status for a file

check_before_modificationC

Check if a file can be modified according to AI metadata rules

get_modification_actionsC

Get actions that should be taken after modifying a file

parse_file_metadataC

Parse AI metadata from a file

update_file_metadataC

Update AI metadata in a file

find_files_with_metadataC

Find all files that contain AI metadata

add_changelog_entryC

Add an entry to the project changelog

get_file_changelogC

Get changelog entries for a specific file

get_recent_changesC

Get recent changelog entries

generate_folder_mapC

Generate or update a _map.md file for a specific folder

generate_all_folder_mapsB

Generate _map.md files for all folders in the project

update_last_editorC

Update @last-editor field in a file with Git author information

update_all_last_editorsB

Update @last-editor fields in all files with Git author information

get_file_last_editorC

Get the last editor of a file from Git history

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

B3.3/5.0

Scored across 19 tools

Disambiguation4/5

Most tools have distinct purposes, but there is some overlap between 'update_file_metadata' and 'parse_file_metadata' that could cause confusion, as both involve metadata handling. Additionally, 'get_file_last_editor' and 'update_last_editor' are closely related but serve different functions, which is acceptable. Overall, the tools are well-differentiated with only minor ambiguities.

Naming Consistency5/5

The tool names follow a consistent verb_noun pattern throughout, such as 'add_changelog_entry', 'find_files_with_metadata', and 'update_file_metadata'. All tools use snake_case without deviation, making the naming highly predictable and readable. This consistency aids in easy identification and usage by agents.

Tool Count4/5

With 19 tools, the count is slightly high but reasonable for a memory server that manages project metadata, changelogs, and sessions. The tools cover various aspects like file operations, session management, and metadata handling, so each seems to earn its place. However, it borders on being heavy, which could overwhelm agents if not well-organized.

Completeness5/5

The tool set provides comprehensive coverage for project memory management, including CRUD operations for metadata, changelogs, and approvals, as well as session lifecycle management. Tools like 'start_session', 'add_session_step', and 'get_project_memory' ensure full session handling, while others cover file-specific actions and metadata updates, leaving no obvious gaps for the domain.

Maintenance

ActivityInactive
ResponsivenessNo issues