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crazyrabbitLTC

mpc-tally-api-server

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A Model Context Protocol (MCP) server that enables AI agents to interact with the Tally API, providing access to DAO governance data, proposals, and metadata. Built with TypeScript and GraphQL, it offers a secure and efficient way to fetch and sort DAO information through standardized MCP functions.

6 stars TypeScriptSearch & Data Retrieval Updated May 26, 2025

Documentation

MPC Tally API Server

A Model Context Protocol (MCP) server for interacting with the Tally API. This server allows AI agents to fetch information about DAOs, including their governance data, proposals, and metadata.

Features

  • List DAOs sorted by popularity or exploration status
  • Fetch comprehensive DAO metadata including social links and governance information
  • Pagination support for handling large result sets
  • Built with TypeScript and GraphQL
  • Full test coverage with Bun's test runner

Installation

bash
# Clone the repository
git clone https://github.com/yourusername/mpc-tally-api-server.git
cd mpc-tally-api-server

# Install dependencies
bun install

# Build the project
bun run build

Configuration

1. Create a `.env` file in the root directory:

env
TALLY_API_KEY=your_api_key_here

2. Get your API key from Tally

⚠️ Security Note: Keep your API key secure:

  • Never commit your `.env` file
  • Don't expose your API key in logs or error messages
  • Rotate your API key if it's ever exposed
  • Use environment variables for configuration

Usage

Running the Server

bash
# Start the server
bun run start

# Development mode with auto-reload
bun run dev

Claude Desktop Configuration

Add the following to your Claude Desktop configuration:

json
{
  "tally": {
    "command": "node",
    "args": [
      "/path/to/mpc-tally-api-server/build/index.js"
    ],
    "env": {
      "TALLY_API_KEY": "your_api_key_here"
    }
  }
}

Available Scripts

  • `bun run clean` - Clean the build directory
  • `bun run build` - Build the project
  • `bun run start` - Run the built server
  • `bun run dev` - Run in development mode with auto-reload
  • `bun test` - Run tests
  • `bun test --watch` - Run tests in watch mode
  • `bun test --coverage` - Run tests with coverage

API Functions

The server exposes the following MCP functions:

list_daos

Lists DAOs sorted by specified criteria.

Parameters:

  • `limit` (optional): Maximum number of DAOs to return (default: 20, max: 50)
  • `afterCursor` (optional): Cursor for pagination
  • `sortBy` (optional): How to sort the DAOs (default: popular)
    • Options: "id", "name", "explore", "popular"

License

MIT

Frequently asked questions

What is mpc-tally-api-server?

mpc-tally-api-server is A Model Context Protocol (MCP) server that enables AI agents to interact with the Tally API, providing access to DAO governance data, proposals, and metadata. Built with TypeScript and GraphQL, it offers a secure and efficient way to fetch and sort DAO information through standardized MCP functions.

How do I install mpc-tally-api-server?

Open the GitHub repository and follow its README. Most MCP servers are added to your client's MCP config, then called by your agent.

Is mpc-tally-api-server open source?

Yes — it is hosted on GitHub at https://github.com/crazyrabbitLTC/mpc-tally-api-server and has 6 stars.

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