# fin-copilot-mcp

> fin-copilot-mcp — jedipercy-fin-copilot-mcp. Use this tool when you need to analyze complex financial data and generate accurate insights from natural language queries. It solves problems related to data extraction, validation, and verification, providing reliable results through a self-healing verification loop. The fin-copilot-mcp engine takes in natural language financial queries and outputs synthesized results, making it ideal for use cases requiring precise financial analytics and live market data processing.

Canonical page: https://skillsregistry.net/skills/jedipercy-fin-copilot-mcp  
JSON: https://api.skillsregistry.net/v1/skills/jedipercy-fin-copilot-mcp

## Description

An enterprise-grade, deterministic multi-agent financial analytics engine that processes natural language financial queries, generates dialect-validated SQL, pulls live market data, and executes a self-healing verification loop before presenting synthesized results.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** data-analytics
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ai7vts1so6)
- **Repository:** <https://github.com/JediPercy/fin-copilot-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": "jedipercy-fin-copilot-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jedipercy-fin-copilot-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jedipercy-fin-copilot-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