# fpf-memory

> Use this tool when you need to efficiently query patterns, routes, and relations within the First Principles Framework (FPF) spec without relying on vector databases. It provides a deterministic index, enabling agents to retrieve specific information and make informed decisions. Ideal for applications requiring fast and accurate FPF data retrieval, this tool simplifies complex queries and relations.

Canonical page: https://skillsregistry.net/skills/venikman-fpf-memory  
JSON: https://api.skillsregistry.net/v1/skills/venikman-fpf-memory

## Description

This MCP server provides a deterministic index of the First Principles Framework (FPF) spec, enabling agents to query patterns, routes, and relations without vector databases.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/jo17fubjaj)
- **Repository:** <https://github.com/venikman/fpf-memory>

## 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": "venikman-fpf-memory"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/venikman-fpf-memory` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/venikman-fpf-memory/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