ta-lib-mcp

Read-only Python MCP server for TA-Lib indicator discovery and computation.

What It Exposes

• talib_list_indicators: list available indicators with group, category, and search filters.

• talib_get_indicator_info: inspect one indicator's inputs, outputs, parameters, and category.

• talib_compute_indicator: compute an indicator from numeric OHLCV-like arrays.

• talib_list_categories: list indicator categories (Trend, Momentum, Volume, etc.) with descriptions.

• talib_get_version_info: report MCP, Python, and TA-Lib versions.

Related MCP server: backtest360-mcp

Requirements

• Python 3.13+

• mcp[cli]

• Optional: TA-Lib (pip install "ta-lib-mcp-server[talib]")

If TA-Lib is missing, the server still starts and returns actionable errors for TA-Lib tools.

Install

pip install -e ".[dev,talib]"

Run

ta-lib-mcp

MCP Client Configuration

Claude Desktop

{
  "mcpServers": {
    "ta-lib": {
      "command": "ta-lib-mcp",
      "env": {
        "TALIB_MCP_LOG_LEVEL": "INFO"
      }
    }
  }
}

Codex

[mcp_servers.talib]
command = "ta-lib-mcp"
args = []

[mcp_servers.talib.env]
TALIB_MCP_LOG_LEVEL = "INFO"

Gemini CLI

{
  "mcpServers": {
    "ta-lib": {
      "command": "ta-lib-mcp",
      "env": {
        "TALIB_MCP_LOG_LEVEL": "INFO"
      }
    }
  }
}

Development

pip install -e ".[dev,talib]"
pytest
ruff check src tests
ruff format src tests
mypy src

Engineering Rules

• Read-only server behavior only; no stateful or exchange-connected operations.

• External MCP tool inputs are validated in src/ta_lib_mcp/validators.py.

• Do not use eval or exec.