# io.github.spectra-g/engram

> Use this tool when you need to integrate an organizational memory system into your AI agent, enabling it to store and retrieve knowledge and experiences. The Engram MCP adapter solves problems of knowledge retention and recall, providing a unified interface for inputting and outputting data. It is ideal for use cases where AI agents require a shared memory to learn, adapt, and make informed decisions.

Canonical page: https://skillsregistry.net/skills/io-github-spectra-g-engram  
JSON: https://api.skillsregistry.net/v1/skills/io-github-spectra-g-engram

## Description

MCP adapter for Engram - organizational memory for AI agents

## Trust

- **Trust score (0–1):** 0.80
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 0.2.11
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.spectra-g%2Fengram)
- **Repository:** <https://github.com/spectra-g/engram>

## 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": "io-github-spectra-g-engram"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-spectra-g-engram` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-spectra-g-engram/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