# Fuzzy Memory MCP Server

> Use this tool when you need to maintain context and recall information across conversations, enabling personalized and informed interactions. It solves problems of knowledge retention and context switching, allowing for more human-like conversations. The Fuzzy Memory MCP Server takes in user data and conversation history as input and outputs relevant information and context to inform Claude's responses.

Canonical page: https://skillsregistry.net/skills/flrngel-fuzzy-memory-mcp  
JSON: https://api.skillsregistry.net/v1/skills/flrngel-fuzzy-memory-mcp

## Description

Enables Claude to maintain persistent memory across conversations using a local knowledge graph with fuzzy search capabilities, allowing it to remember and recall information about users, relationships, and context.

## Trust

- **Trust score (0–1):** 0.95
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/lgnaidelza)
- **Repository:** <https://github.com/flrngel/fuzzy-memory-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "flrngel-fuzzy-memory-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/flrngel-fuzzy-memory-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/flrngel-fuzzy-memory-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt