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Glama
flrngel

Fuzzy Memory MCP Server

by flrngel

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
MEMORY_FILE_PATHNoPath to the memory storage JSON file (default: memory.json in the server directory)

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
create_entitiesB

Create multiple new entities in the knowledge graph

create_relationsB

Create multiple new relations between entities in the knowledge graph. Relations should be in active voice

add_observationsB

Add new observations to existing entities in the knowledge graph

delete_entitiesA

Delete multiple entities and their associated relations from the knowledge graph

delete_observationsB

Delete specific observations from entities in the knowledge graph

delete_relationsA

Delete multiple relations from the knowledge graph

read_graphB

Read the entire knowledge graph

search_nodesA

Performs a fuzzy semantic search for nodes in the knowledge graph based on a query. Returns a list of matching entities, each with a confidence score from 0.0 to 1.0 (higher is better).

open_nodesC

Open specific nodes in the knowledge graph by their names

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

A3.5/5.0

Scored across 9 tools

Disambiguation5/5

Each tool has a clearly distinct purpose targeting specific operations on the knowledge graph. For example, add_observations vs. delete_observations handle different lifecycle stages, while open_nodes and search_nodes serve distinct access patterns. There is no significant overlap that would cause agent misselection.

Naming Consistency5/5

All tools follow a consistent verb_noun naming pattern using snake_case, such as create_entities, delete_relations, and search_nodes. The naming is predictable and readable throughout the set, with no deviations in style or convention.

Tool Count5/5

With 9 tools, the server is well-scoped for managing a knowledge graph, covering core operations like creation, deletion, reading, and searching. Each tool earns its place without being overly sparse or bloated, fitting typical expectations for this domain.

Completeness4/5

The tool set provides strong coverage for CRUD operations on entities, relations, and observations, along with search and read capabilities. A minor gap exists in update operations (e.g., no update_entities or update_relations), but agents can work around this by deleting and recreating as needed.

Maintenance

ActivityInactive
ResponsivenessNo issues