# Financial Context Engine

> Financial Context Engine — piyushdubey007-financial-context-engine-mcp. Use this tool when you need to analyze and reason about personal financial data, such as transaction history, portfolio performance, and market trends, to inform investment decisions or risk assessments. It provides standardized access to computed financial metrics, enabling natural language queries and insights. Ideal for use cases requiring data-driven financial analysis, planning, and optimization.

Canonical page: https://skillsregistry.net/skills/piyushdubey007-financial-context-engine-mcp  
JSON: https://api.skillsregistry.net/v1/skills/piyushdubey007-financial-context-engine-mcp

## Description

An MCP server that exposes personal financial data — transaction ledger, portfolio holdings, live/historical market prices, and quantitative risk metrics — as standardized tools, resources, and prompts, enabling natural language reasoning over real computed numbers.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/iswos0r923)
- **Repository:** <https://github.com/PiyushDubey007/financial-context-engine-mcp>

## 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": "piyushdubey007-financial-context-engine-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/piyushdubey007-financial-context-engine-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/piyushdubey007-financial-context-engine-mcp/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