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Langalpha

v1.0.0•Finance & Fintech•stable

Claude Code for Finance

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What is Langalpha?

Langalpha is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to claude code for finance

Claude Code for Finance

This server falls under the Finance & Fintech and Coding Agents categories on MCPgee, the world's largest MCP server directory with 33,000+ servers.

Features

  • Claude Code for Finance

Use Cases

AI-powered investment analysis and trading workflows
Multi-agent financial skill orchestration
ginlix-ai

Maintainer

LicenseApache-2.0
Languagepython
Versionv1.0.0
UpdatedMay 22, 2026
Statushealthy
Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux
View SourceBrowse All Servers

Installation

Manual Installation

npx langalpha

Configuration

Configuration Details

Config File

claude_desktop_config.json

Performance

Response Metrics

Response Time< 200ms
ThroughputMedium

Resource Usage

Memory UsageLow
CPU UsageLow

How to Set Up and Use Langalpha

LangAlpha is a full-stack AI finance platform that connects Claude and other LLMs to live market data, SEC filings, fundamental databases, and Python execution sandboxes. It ships 23 pre-built financial skills covering DCF valuation, earnings analysis, macro economics, and automated report generation in PDF/DOCX/XLSX formats. Developers and analysts use it to run multi-agent research workflows that persist across sessions, pulling real-time price feeds, options chains, and economic calendars through its MCP-powered tool layer.

Prerequisites

  • Docker and Docker Compose installed on your machine
  • An LLM subscription (Claude, OpenAI, or compatible BYOK provider)
  • Optional: FMP_API_KEY (Financial Modeling Prep) for fundamentals and SEC filings
  • Optional: SERPER_API_KEY or TAVILY_API_KEY for web search capabilities
  • An MCP-compatible client such as Claude Desktop
1

Clone the repository

Clone the LangAlpha repository from GitHub to your local machine.

git clone https://github.com/ginlix-ai/langalpha.git
cd langalpha
2

Run the interactive configuration wizard

Run 'make config' to launch an interactive wizard that sets up your .env file. You will be prompted for your LLM API keys and optional data provider keys such as FMP_API_KEY for financial data, SERPER_API_KEY or TAVILY_API_KEY for web search, LANGSMITH_API_KEY for tracing, and GINLIX_DATA_URL for real-time price feeds.

make config
3

Start all services

Run 'make up' to start the PostgreSQL database, Redis cache, backend API, and frontend UI using Docker Compose.

make up
4

Verify the backend is healthy

Confirm the backend API is running and accepting requests before connecting your MCP client.

curl http://localhost:8000/health
5

Configure your MCP client

Add LangAlpha as an MCP server in your Claude Desktop or compatible client configuration file so the AI can access the financial tools.

{
  "mcpServers": {
    "langalpha": {
      "command": "npx",
      "args": ["langalpha"]
    }
  }
}
6

Create a research workspace

Once connected, instruct the agent to create a named workspace for your research goal. LangAlpha persists files, charts, and prior analysis across sessions so you can return and continue work later.

Langalpha Examples

Client configuration

Minimal Claude Desktop configuration to connect to a locally running LangAlpha instance.

{
  "mcpServers": {
    "langalpha": {
      "command": "npx",
      "args": ["langalpha"],
      "env": {
        "FMP_API_KEY": "your_fmp_key",
        "SERPER_API_KEY": "your_serper_key"
      }
    }
  }
}

Prompts to try

Example prompts that exercise LangAlpha's financial research, valuation, and report generation capabilities.

- "Create a workspace called 'energy-rotation' and pull sector performance for energy vs. utilities over the last 6 months"
- "Run a DCF valuation on MSFT using the last 3 years of free cash flow from FMP"
- "Fetch the latest earnings transcript for NVDA and summarize the key guidance comments"
- "Generate a PDF morning note covering today's macro calendar events and major index moves"
- "Search the web for recent analyst upgrades on semiconductor stocks and compile a summary table"

Troubleshooting Langalpha

Backend health check returns a connection error or 'make up' fails

Ensure Docker Desktop is running and no other service is using ports 8000 or 5173. Run 'docker compose logs backend' to inspect startup errors and verify your .env file contains valid API keys.

FMP data tools return empty results or 'unauthorized' errors

Confirm FMP_API_KEY is set correctly in your .env file and that your FMP plan supports the endpoints being called. The free tier covers basic quotes but not options or advanced fundamentals.

Agent loses context or prior workspace files between sessions

LangAlpha uses persistent workspaces stored in PostgreSQL. Make sure the database container is healthy ('docker compose ps') and that you are reconnecting to the same named workspace you created previously.

Frequently Asked Questions about Langalpha

What is Langalpha?

Langalpha is a Model Context Protocol (MCP) server that claude code for finance It connects AI assistants to external tools and data sources through a standardized interface.

How do I install Langalpha?

Follow the installation instructions on the Langalpha GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.

Which AI clients work with Langalpha?

Langalpha works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.

Is Langalpha free to use?

Yes, Langalpha is open source and available under the Apache-2.0 license. You can use it freely in both personal and commercial projects.

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Quick Config Preview

{ "mcpServers": { "langalpha": { "command": "npx", "args": ["-y", "langalpha"] } } }

Add this to your claude_desktop_config.json or .cursor/mcp.json

Read the full setup guide →

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