# S&P 500 Data

> Use this tool when you need to query and retrieve structured data on S&P 500 companies for financial research and portfolio analysis. It solves problems related to searching and accessing company information through fuzzy search by ticker symbol, company name, or sector. The tool accepts search queries as input and outputs detailed company data, making it ideal for use cases requiring accurate and efficient company data retrieval.

Canonical page: https://skillsregistry.net/skills/zhensherlock-sp500  
JSON: https://api.skillsregistry.net/v1/skills/zhensherlock-sp500

## Description

Enables querying S&P 500 company data through fuzzy search by ticker symbol, company name, or sector via MCP tools. Built on Next.js 15 and Supabase, it offers both stdio and SSE transport options with Vercel-compatible deployment. Provides structured company details suitable for financial research and portfolio analysis workflows.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-01

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/zhensherlock-sp500)
- **Repository:** <https://github.com/zhensherlock/sp500-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": "zhensherlock-sp500"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/zhensherlock-sp500` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/zhensherlock-sp500/pull`

---
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