# findata-mcp

> Use this tool when you need to evaluate and improve the quality of financial data and AI models, solving problems such as data bias, outliers, and model performance issues. It provides a range of inputs including financial data sets and model outputs, and generates outputs such as audit reports, bias detection scores, and KPI metrics. Use findata-mcp in contexts where data-driven decision making is critical, such as financial forecasting, risk management, and investment analysis.

Canonical page: https://skillsregistry.net/skills/msrikar7-findata-mcp  
JSON: https://api.skillsregistry.net/v1/skills/msrikar7-findata-mcp

## Description

A Financial Data Quality and AI Inference Evaluation MCP server that provides tools for auditing, bias detection, model evaluation, outlier scoring, A/B testing, and KPI reporting.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** data-analytics
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/s18o15o9o1)
- **Repository:** <https://github.com/MSrikar7/findata-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": "msrikar7-findata-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/msrikar7-findata-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/msrikar7-findata-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