# MCP Financial Data Gateway

> Use this tool when you need to access diverse financial data from a single interface, solving problems of data fragmentation and integration for AI models. It provides 10 financial data tools, including market data, economic indicators, and news, as inputs and outputs relevant financial insights. Ideal for use cases requiring unified financial data access, such as market analysis, risk assessment, and investment research.

Canonical page: https://skillsregistry.net/skills/ranjittilekar-financial-data-gateway-mcp  
JSON: https://api.skillsregistry.net/v1/skills/ranjittilekar-financial-data-gateway-mcp

## Description

Provides 10 financial data tools (market data, economic indicators, news, insider trades, and calendars) via a single MCP layer, enabling any MCP-compatible LLM to access diverse financial data through a unified interface.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/vqh8glqekf)
- **Repository:** <https://github.com/ranjittilekar/financial-data-gateway-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": "ranjittilekar-financial-data-gateway-mcp"
    }
  }
}
```

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