# MCP LTM Server

> Use this tool when you need to maintain persistent context across sessions for AI agents, enabling them to recall previous interactions and learn from experience. It solves problems of knowledge retention and consistency, providing a secure and scalable solution for multi-tenant environments. The MCP LTM Server accepts input from AI agents and outputs stored context via Server-Sent Events (SSE), making it ideal for applications requiring continuous learning and memory management.

Canonical page: https://skillsregistry.net/skills/kavierim-mcp-ltm-server  
JSON: https://api.skillsregistry.net/v1/skills/kavierim-mcp-ltm-server

## Description

A networked long-term memory server that enables AI agents to maintain persistent context across sessions via Server-Sent Events (SSE), with secure multi-tenancy and autonomous memory lifecycle management.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/m5ruc46vqk)
- **Repository:** <https://github.com/kavierim/MCP_LTM_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": "kavierim-mcp-ltm-server"
    }
  }
}
```

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