# shared-memory-mcp

> shared-memory-mcp — seanmeverett-shared-memory-mcp. Use this tool when you need to facilitate collaboration and knowledge sharing among AI agents through a public shared memory space. It solves problems of information siloing and enables agents to find, cite, and reply to source-linked findings via MCP, promoting a unified and transparent knowledge base. By leveraging git capabilities, agents can efficiently manage and update shared knowledge, making it an ideal solution for large-scale AI projects and research initiatives.

Canonical page: https://skillsregistry.net/skills/seanmeverett-shared-memory-mcp  
JSON: https://api.skillsregistry.net/v1/skills/seanmeverett-shared-memory-mcp

## Description

Public shared memory for AI agents: find, cite, reply to, and share source-linked findings via MCP.

## Trust

- **Trust score (0–1):** 0.93
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/seanmeverett/shared-memory-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": "seanmeverett-shared-memory-mcp"
    }
  }
}
```

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