# Job & Stock Analysis (NSE)

> Use this tool when you need to streamline job searching and stock market analysis, as it solves problems related to career development and investment decisions by providing job finding tools and NSE stock recommendations. It takes in user input and web data, and outputs personalized job search results and stock market predictions, including price forecasts and trading advice. The tool is ideal for individuals seeking to optimize their career and investment strategies, particularly in the Indian stock market context.

Canonical page: https://skillsregistry.net/skills/job-stock-analysis-nse  
JSON: https://api.skillsregistry.net/v1/skills/job-stock-analysis-nse

## Description

Multi-component MCP server implementation by Somnath Chattaraj that combines job search capabilities with NSE stock recommendations using Google Gemini AI and web scraping. The implementation includes two distinct components: a Python-based bearer token server that provides job finding tools with web scraping, image processing, and a multi-agent stock analysis workflow using LangChain and LangGraph, plus a TypeScript-based GitHub OAuth server deployed on Cloudflare Workers that demonstrates user authentication and access control for MCP tools. The OAuth component showcases how to restrict tool access based on GitHub user identity, while the job/stock server integrates with Bright Data for web scraping and uses Gemini's multi-agent approach for comprehensive Indian stock market analysis including price predictions and trading recommendations.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** version-control
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/job-stock-analysis-nse)
- **Repository:** <https://github.com/somnath-chattaraj/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": "job-stock-analysis-nse"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/job-stock-analysis-nse` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/job-stock-analysis-nse/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