# Neotoma

> Use this tool when you need to manage and store versioned entities with immutable observations and provenance for AI agents. It solves problems related to data consistency and auditing by providing a deterministic state layer for storing contacts, tasks, transactions, and decisions. It accepts entity data as input and outputs a tamper-proof record, ideal for use cases requiring data integrity and transparency in local-first applications.

Canonical page: https://skillsregistry.net/skills/markmhendrickson-neotoma  
JSON: https://api.skillsregistry.net/v1/skills/markmhendrickson-neotoma

## Description

Deterministic state layer for AI agents that stores versioned entities such as contacts, tasks, transactions, and decisions with immutable observations and full provenance. Local-first SQLite memory shared across Claude, Cursor, ChatGPT, Codex, and OpenClaw via MCP and native plugins.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-06-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/aa2avrutjt)
- **Repository:** <https://github.com/markmhendrickson/neotoma>

## 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": "markmhendrickson-neotoma"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/markmhendrickson-neotoma` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/markmhendrickson-neotoma/pull`

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