Remote Memory MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| GITHUB_REPO | Yes | GitHub 저장소 이름 | |
| GITHUB_OWNER | Yes | GitHub 저장소 소유자 | |
| GITHUB_TOKEN | Yes | GitHub Personal Access Token (repo 권한 필요) | |
| GITHUB_BRANCH | No | 사용할 브랜치명 | main |
| SYNC_INTERVAL | No | 동기화 간격(초) | 300 |
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
| Name | Description |
|---|---|
| create_entitiesD | 새로운 엔티티들을 생성합니다 |
| create_relationsC | 엔티티 간의 관계를 생성합니다 |
| add_observationsC | 기존 엔티티에 관찰 내용을 추가합니다 |
| delete_entitiesC | 엔티티와 관련 관계를 삭제합니다 |
| delete_observationsC | 엔티티에서 특정 관찰 내용을 삭제합니다 |
| delete_relationsC | 특정 관계를 삭제합니다 |
| search_nodesD | 엔티티를 검색합니다 |
| open_nodesD | 특정 이름의 엔티티들을 조회합니다 |
| list_entitiesC | 엔티티 목록을 조회합니다 (필터링, 정렬, 페이지네이션 지원) |
| get_entity_namesB | 엔티티 이름 목록만 조회합니다 (가볍고 빠름) |
| get_entity_typesB | 모든 엔티티 타입과 각 타입별 개수를 조회합니다 |
| read_graphC | 전체 지식 그래프를 읽습니다 |
| sync_pullC | GitHub에서 데이터를 가져와 동기화합니다 |
| sync_pushC | 로컬 데이터를 GitHub로 푸시합니다 |
| force_syncB | 강제로 양방향 동기화를 수행합니다 |
| create_backupC | 현재 메모리 상태의 백업을 생성합니다 |
| get_commit_historyC | 최근 커밋 히스토리를 조회합니다 |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 17 tools
Most tools have distinct purposes, but there is some overlap between list_entities, get_entity_names, open_nodes, and search_nodes, which all involve retrieving entity information and could cause confusion. However, their descriptions provide enough detail to differentiate them in most cases.
The tool names follow a highly consistent verb_noun pattern throughout, such as add_observations, create_backup, and delete_entities. There are no deviations in naming conventions, making the set predictable and easy to understand.
With 17 tools, the count is slightly high but reasonable for a memory/graph management server, covering operations like CRUD, synchronization, and queries. It might feel a bit heavy, but each tool appears to serve a specific function without obvious redundancy.
The tool set provides comprehensive coverage for managing a knowledge graph with entities, relations, and observations, including full CRUD operations, synchronization with GitHub, backup, and various query methods. There are no apparent gaps that would hinder agent workflows in this domain.