# LogicMem MCP Server

> Use this tool when you need to provide AI agents with persistent memory and advanced reasoning capabilities. It solves problems related to knowledge sharing, data consistency, and auditing by enabling agent-to-agent sharing and immutable audit trails. The LogicMem MCP Server accepts model context data as input and outputs shared knowledge and audit logs via the Model Context Protocol.

Canonical page: https://skillsregistry.net/skills/creedlab-logicmem-mcp  
JSON: https://api.skillsregistry.net/v1/skills/creedlab-logicmem-mcp

## Description

Provides persistent memory, reasoning engine, agent-to-agent sharing, and immutable audit trail for AI agents via the Model Context Protocol.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/tdeuw2jegn)
- **Repository:** <https://github.com/CreedLab/logicmem-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": "creedlab-logicmem-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/creedlab-logicmem-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/creedlab-logicmem-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
