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Ta Lib Mcp Server

Ta Lib Mcp Server

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github.com/hanaiFinance3Updated 67w ago
Repository

About Ta Lib Mcp Server

Ta Lib Mcp Server provides TA-Lib technical analysis indicators to AI assistants and other MCP clients. It is intended for calculating indicators from financial data.

Key features

  1. 01Access TA-Lib indicators
  2. 02Calculate technical analysis values
  3. 03Use with financial data

Use cases

  1. 01Calculating technical indicators from financial data
  2. 02Providing indicator calculations to an MCP client

MCP support

It exposes access to TA-Lib technical analysis indicators for MCP clients to perform calculations on financial data.

#mcp#finance#ta-lib#indicator

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
  "mcpServers": {
    "ta-lib": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/hanai/ta-lib-mcp-server:main"
      ]
    }
  }
}
Run commanddocker run -i --rm ghcr.io/hanai/ta-lib-mcp-server:main

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
ocighcr.io/hanai/ta-lib-mcp-server:main

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

TA-Lib MCP Server

A Model Context Protocol (MCP) server that provides access to TA-Lib technical analysis indicators. This server enables AI assistants and other MCP clients to perform technical analysis calculations on financial data.

Features

For full API reference and examples, see: TA-Lib Python Documentation

Usage

Add the following JSON block to your IDE MCP settings.

{
  "mcp": {
    "servers": {
      "ta-lib": {
        "command": "docker",
        "args": ["run", "-i", "--rm", "ghcr.io/hanai/ta-lib-mcp-server:main"]
      }
    }
  }
}

Dependencies

  • TA-Lib: Technical analysis library
  • MCP: Model Context Protocol implementation
  • NumPy: Numerical computing
  • Pydantic: Data validation

License

This project is open source.

Comments

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From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.