# mcp_sqlite_memory_bank

> Use this tool when you need to manage and query dynamic data stores with semantic search capabilities, or when integrating knowledge graphs with large language models. It solves problems related to data management, information retrieval, and knowledge representation for AI agents. The tool accepts input data and queries, and outputs relevant results and graph-based insights through a SQLite interface.

Canonical page: https://skillsregistry.net/skills/robertmeisner-mcp-sqlite-memory-bank  
JSON: https://api.skillsregistry.net/v1/skills/robertmeisner-mcp-sqlite-memory-bank

## Description

Dynamic SQLite memory bank with semantic search, table management, and knowledge graphs for LLM agents.

## Trust

- **Trust score (0–1):** 0.48
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ppsfg5z01b)
- **Repository:** <https://github.com/robertmeisner/mcp_sqlite_memory_bank>

## 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": "robertmeisner-mcp-sqlite-memory-bank"
    }
  }
}
```

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