# MCP Notes

> Use this tool when you need to manage complex knowledge graphs with entities, observations, and relations, and perform temporal queries and graph traversal. It solves problems related to persistent knowledge management, data integration, and querying, providing a standardized interface for inputs and outputs via the Model Context Protocol. Ideal for use cases requiring robust and scalable knowledge graph management, such as data analytics, artificial intelligence, and decision support systems.

Canonical page: https://skillsregistry.net/skills/hefnysco-agent-mcp-notes  
JSON: https://api.skillsregistry.net/v1/skills/hefnysco-agent-mcp-notes

## Description

Enables persistent knowledge graph management with entities, observations, relations, temporal queries, and graph traversal via Model Context Protocol.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/yoy10v4070)
- **Repository:** <https://github.com/HefnySco/agent_mcp_notes>

## 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": "hefnysco-agent-mcp-notes"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/hefnysco-agent-mcp-notes` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/hefnysco-agent-mcp-notes/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