# factsets

> Use this tool when you need to manage and organize knowledge for AI agents, enabling persistent context and efficient information retrieval. It solves problems of data fragmentation and disorganization by providing a self-maintaining knowledge base that stores facts, resources, and skills. With factsets, AI agents can input and output data via MCP, utilizing tag-based organization for seamless access to relevant information.

Canonical page: https://skillsregistry.net/skills/joshua-auchincloss-factsets  
JSON: https://api.skillsregistry.net/v1/skills/joshua-auchincloss-factsets

## Description

A self-maintaining knowledge base for AI agents that manages facts, resources, skills, and execution logs via MCP, enabling persistent context and tag-based organization.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/cb898qnf8g)
- **Repository:** <https://github.com/joshua-auchincloss/factsets>

## 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": "joshua-auchincloss-factsets"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/joshua-auchincloss-factsets` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/joshua-auchincloss-factsets/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