# mcp-engram

> Use this tool when you need to build and explore complex knowledge graphs, enabling search, graph traversal, and structured reasoning capabilities. It solves problems related to organizing and querying large amounts of data, particularly in applications involving temporal sequences and cognitive neuroscience-inspired models. The mcp-engram tool takes in data and outputs a navigable knowledge graph, ideal for use cases requiring advanced data modeling and analysis.

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

## Description

Enables LLMs to build and explore a cognitive neuroscience-inspired knowledge graph with SQLite, supporting search, graph traversal, temporal sequences, and structured reasoning.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/xf3l7hsa0l)
- **Repository:** <https://github.com/shuruheel/mcp-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": "shuruheel-mcp-engram"
    }
  }
}
```

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