# engram-mcp

> engram-mcp — ankitjm-engram-mcp. Use this tool when you need to efficiently manage and retrieve memories from an Engram brain, solving problems of knowledge retrieval and memory storage. It provides an interface for searching, retrieving, and adding memories, taking in queries and memory inputs and outputting relevant information. Ideal for use cases requiring intelligent memory management and recall, such as knowledge base construction or cognitive architectures.

Canonical page: https://skillsregistry.net/skills/ankitjm-engram-mcp  
JSON: https://api.skillsregistry.net/v1/skills/ankitjm-engram-mcp

## Description

Integrates an Engram brain with Claude Code via MCP, providing tools for searching, retrieving, and adding memories.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/shuab0uq99)
- **Repository:** <https://github.com/ankitjm/engram-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": "ankitjm-engram-mcp"
    }
  }
}
```

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