# Financial Datasets MCP Server

> Use this tool when you need to access comprehensive financial datasets, including stock prices and market news, to inform investment decisions or analyze market trends. It solves problems related to data sourcing and integration for AI-driven financial analysis, providing a unified interface through the Model Context Protocol. Ideal for use cases requiring real-time or historical financial data, such as portfolio optimization or risk assessment.

Canonical page: https://skillsregistry.net/skills/financial-datasets-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/financial-datasets-mcp-server

## Description

MCP server that provides AI assistants access to stock market data including financial statements, stock prices, and market news through a Model Context Protocol interface.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-02

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/m3b2i3303j)
- **Repository:** <https://github.com/financial-datasets/mcp-server>

## 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": "financial-datasets-mcp-server"
    }
  }
}
```

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