Job & Stock Analysis (NSE)
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.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-19.
Scan details: Circle-IR · 2026-09-19 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- version-control
- Source
- PulseMCP
- Repository
- github.com/somnath-chattaraj/mcp-server
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve Job & Stock Analysis (NSE) from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp --scope user for --scope project to commit it to .mcp.json.