Skip to main content
Glama
ambideXtrous9

StockMcp

by ambideXtrous9
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Local

šŸ§  Stock Analysis using MCP Local LLM (Ollama Qwen3) with LangChain

This project demonstrates how to build a fully local AI assistant that provides detailed stock analysis using:

  • MCP (Model Context Protocol): Enables structured tool usage by the language model.

  • Ollama: A tool for running large language models locally.(Qwen3)

  • LangChain: A framework for developing applications powered by language models and run as MCP Client

  • BeautifulSoup: For web scraping financial data from Screener.in.

šŸ“¦ Features

šŸ” Company Details: Retrieve company name, current price, market cap, PE ratio, ROE, ROCE, and more.

šŸ“ˆ Profit Analysis: Extract quarterly and yearly net profit data.

šŸ‘„ Shareholding Patterns: Analyze holdings by promoters, DIIs, FIIs, and the public.

šŸ”§ Tool Integration: Seamless integration with MCP tools for enhanced functionality.

Related MCP server: stock-rag-mcp

āš™ļø Configuration

MCP Server Setup

The MCP server is defined in mcp_config.json.

{
  "mcpServers": {
    "stock": {
      "command": "python",
      "args": ["StockMcp.py"],
      "transport": "stdio"
    }
  }
}


Give me the company details of CREDITACC.NS

šŸ› ļø Project Structure

ā”œā”€ā”€ StockMcp.py         # MCP server with tool definitions
ā”œā”€ā”€ requirements.txt    # Python dependencies
ā”œā”€ā”€ README.md           # Project documentation

šŸ“š Resources

MCP Github

Ollama Documentation

LangChain MCP Documentation

BeautifulSoup Documentation

This server cannot be deployed

One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

Maintenance

ActivityInactive
ResponsivenessNo issues

Resources

Related MCP Connectors

Related MCP Servers

  • screener-mcp

    ronyv89
    A
    license
    A
    quality
    D
    maintenance
    Provides financial data for Indian listed companies from screener.in, enabling users to search companies and fetch financial statements, ratios, and peer comparisons.
    2
    7 npm
    1
    MIT

  • stock-rag-mcp

    hemanthkumarkp
    F
    license
    Not graded
    quality
    D
    maintenance
    Enables RAG-based querying of local stock company data using a local LLM and vector database, providing tools to ask questions, search raw chunks, and list documents.
    -

  • screener-mcp

    ashu017
    A
    license
    B
    quality
    B
    maintenance
    Exposes Screener.in data for Indian stocks (NSE/BSE) ā€” fundamentals, financial statements, peers, and price/EPS time-series ā€” as tools any MCP client can call.
    4
    7 npm
    5
    MIT

  • FinMCP

    Prem07a
    A
    license
    A
    quality
    B
    maintenance
    Enables LLM clients to perform fundamental analysis of NSE/BSE-listed Indian stocks, covering financial statements, ratios, valuation, screening, and investment memos using Yahoo Finance data.
    28
    1
    MIT