# fable MCP server

> Use this tool when you need to enable conversational memory and recall for AI agents like Claude, allowing them to search and access their past conversations for context and informed responses. It solves problems of conversational continuity and knowledge retention by indexing conversations into a local SQLite database. Ideal for use cases requiring personalized and contextualized interactions, such as customer support or virtual assistance.

Canonical page: https://skillsregistry.net/skills/grooverlab-fable  
JSON: https://api.skillsregistry.net/v1/skills/grooverlab-fable

## Description

Enables Claude to search, recall, and remember its own past conversations by indexing them into a local SQLite vault, providing direct access to the full context of previous sessions.

## Trust

- **Trust score (0–1):** 0.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/c7820etx7u)
- **Repository:** <https://github.com/grooverLab/fable>

## 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": "grooverlab-fable"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/grooverlab-fable` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/grooverlab-fable/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