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Tally MCP Server

@dhananjay1405

Repository

Basic information

Category

AI & Agents

License

MIT

Transports

stdio

Author

dhananjay1405

About Tally MCP Server

Tally Prime MCP (Model Context Protocol) Server implementation to feed Tally ERP data to popular LLM like Claude, ChatGPT supporting MCP

#tally-mcp-server#tally-erp#llm-integration

Tally MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "Tally Prime": {
      "command": "node",
      "args": [
        "D:\\Software\\Tally MCP Server\\dist\\index.mjs"
      ]
    }
  }
}

Tally MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is tally-mcp-server?

The tally-mcp-server is a Model Context Protocol (MCP) server that feeds Tally Prime ERP data to LLMs like Claude and ChatGPT. It exposes Tally’s functionalities directly to AI clients via MCP.

How to use tally-mcp-server?

Install Node.js and enable Tally Prime’s XML port on port 9000. Download the server zip or the one‑click Claude Desktop extension (.mcpb). For Claude Desktop, either install via the extension (File > Settings > Extensions > Advanced Settings) or configure via the developer settings with a JSON config specifying the command "node" and the path to dist/index.mjs. For cloud setups, refer to the docs folder.

Key features of tally-mcp-server

  • 19 MCP tools for querying Tally Prime data
  • Supports local and remote (cloud) deployment modes
  • One‑click installer for Claude Desktop
  • Tested on Claude AI (local and remote) and ChatGPT (remote)
  • Tools include balance sheet, trial balance, profit/loss, stock summary, bills outstanding, and more

Use cases of tally-mcp-server

  • Generate financial reports (balance sheet, profit/loss, trial balance) via LL

Comments

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