# Numeratica — financial planning calculations

> Numeratica — financial planning calculations — com-numeratica-mcp. Use this tool when you need to perform complex financial planning calculations, such as retirement planning, tax optimization, and social security benefits analysis. It solves problems related to uncertain financial futures, tax liabilities, and retirement savings by providing deterministic and probabilistic outcomes. It takes financial data as input and outputs personalized planning recommendations, making it ideal for use in long-term financial planning and investment strategy development.

Canonical page: https://skillsregistry.net/skills/com-numeratica-mcp  
JSON: https://api.skillsregistry.net/v1/skills/com-numeratica-mcp

## Description

Deterministic US financial planning: retirement Monte Carlo, Roth conversion, RMD, tax, IRMAA, SS

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 0.1.2
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/com.numeratica%2Fmcp)
- **Repository:** <https://github.com/numeratica/mcp>

## Use it

MCP endpoint published by the skill: `https://api.numeratica.com/mcp`

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": "com-numeratica-mcp"
    }
  }
}
```

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

---
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
