Airbnb StockScreener Agent With MCP

Name: Airbnb StockScreener Agent With MCP
Author: ambideXtrous9

by ambideXtrous9

StockScreener MCP with Langchain

3 tools GitHub

No known CVEs

No license

Stale

Last commit 271d ago

Works with most clients

Transport: stdio

3 tools · ~208 tok

Grade A · 0.1% of 200K ctx

Edit this pageView history

Finance Analytics

Step 1

Install in your client

Config is the same across clients — only the file and path differ.

Supported in Claude Desktopstdio · Node 18+

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "airbnb-stockscreener-agent-with-mcp": {
      "command": "<see-readme>",
      "args": []
    }
  }
}

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Read me

What Airbnb StockScreener Agent With MCP does

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

Test This Server

No automated test available for this server. Check the GitHub README for setup instructions.

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Why this score

Five weighted categories — click any category to see the underlying evidence.

Score breakdown

61/100across 5 weighted dimensions

How we score →

0255075100

−39

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Security

OSV.dev

No known CVEs.

No package registry to scan.

Inventory

Tools (3)

Click any tool to inspect its schema.

~208 tokens total

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Frequently Asked Questions

Is Airbnb StockScreener Agent With MCP safe to use?: Airbnb StockScreener Agent With MCP has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.
How do I install Airbnb StockScreener Agent With MCP?: Airbnb StockScreener Agent With MCP can be installed by cloning its GitHub repository and following the setup instructions in the README.
What can Airbnb StockScreener Agent With MCP do?: Airbnb StockScreener Agent With MCP provides 3 tools: get_company_details, get_profit_analysis, get_shareholding_patterns. See the full tools list on the server page for descriptions and parameters.
What AI clients work with Airbnb StockScreener Agent With MCP?: Airbnb StockScreener Agent With MCP is compatible with claude-desktop, cursor, claude-code. It uses stdio transport.
Is Airbnb StockScreener Agent With MCP actively maintained?: Airbnb StockScreener Agent With MCP is less actively maintained — last commit was 271 days ago.

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Community

Discussion

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Has anyone used this with Cursor?How do you handle auth?Any alternatives?

🧠 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.

📦 Features

🔍 Company Details: Retrieve company name, current price, market cap, PE ratio, ROE, ROCE, and more. 📈 Profit Analysis: Extract quarterly and yearly net profit data. 👥 Shareholding Patterns: Analyze holdings by promoters, DIIs, FIIs, and the public. 🔧 Tool Integration: Seamless integration with MCP tools for enhanced functionality.

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

Frequently Asked Questions

Is Airbnb StockScreener Agent With MCP safe to use?

Airbnb StockScreener Agent With MCP has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.

How do I install Airbnb StockScreener Agent With MCP?

Airbnb StockScreener Agent With MCP can be installed by cloning its GitHub repository and following the setup instructions in the README.

What can Airbnb StockScreener Agent With MCP do?

Airbnb StockScreener Agent With MCP provides 3 tools: get_company_details, get_profit_analysis, get_shareholding_patterns. See the full tools list on the server page for descriptions and parameters.

What AI clients work with Airbnb StockScreener Agent With MCP?

Airbnb StockScreener Agent With MCP is compatible with claude-desktop, cursor, claude-code. It uses stdio transport.

Is Airbnb StockScreener Agent With MCP actively maintained?

Airbnb StockScreener Agent With MCP is less actively maintained — last commit was 271 days ago.

🧠 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.

📦 Features

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

📈 Profit Analysis: Extract quarterly and yearly net profit data.

👥 Shareholding Patterns: Analyze holdings by promoters, DIIs, FIIs, and the public.

🔧 Tool Integration: Seamless integration with MCP tools for enhanced functionality.

⚙️ 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

🛠️ Project Structure

├── StockMcp.py         # MCP server with tool definitions
├── requirements.txt    # Python dependencies
├── README.md           # Project documentation

📚 Resources

MCP Github

Ollama Documentation

LangChain MCP Documentation

BeautifulSoup Documentation