# Tiger Memory MCP Server

> Use this tool when you need to enhance the memory capabilities of large language models (LLMs) by storing and retrieving information via the Model Context Protocol. It solves problems related to information retention and recall, enabling LLMs to maintain context and provide more accurate responses. The Tiger Memory MCP Server accepts input requests from LLMs and outputs stored information, making it ideal for use cases requiring contextual understanding and memory recall.

Canonical page: https://skillsregistry.net/skills/timescale-tiger-memory-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/timescale-tiger-memory-mcp-server

## Description

A simple memory system that allows LLMs to store and retrieve information via the Model Context Protocol.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/xiqydm8lmn)
- **Repository:** <https://github.com/timescale/tiger-memory-mcp-server>

## 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": "timescale-tiger-memory-mcp-server"
    }
  }
}
```

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