# sg-finance-data-mcp

> Use this tool when you need to manage and process financial data, solving problems related to data inconsistency and inefficiency. It provides core functionality for data manipulation, handling inputs such as financial records and outputs like refined datasets. Ideal for use cases involving financial analysis, reporting, and planning, where accurate and organized data is crucial.

Canonical page: https://skillsregistry.net/skills/vdineshk-sg-finance-data-mcp  
JSON: https://api.skillsregistry.net/v1/skills/vdineshk-sg-finance-data-mcp

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/vdineshk/sg-finance-data-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": "vdineshk-sg-finance-data-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/vdineshk-sg-finance-data-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/vdineshk-sg-finance-data-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