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Mpc Tally Api Server

@crazyrabbitLTCon a year ago
6 MIT
FreeCommunity
AI Systems
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.

Overview

What is Mpc Tally Api Server

The mpc-tally-api-server is a Model Context Protocol (MCP) server designed for AI agents to interact with the Tally API. It provides access to decentralized autonomous organization (DAO) governance data, proposals, and metadata, enabling efficient data retrieval and management.

Use cases

Use cases for the mpc-tally-api-server include integrating DAO governance data into AI applications, enabling automated proposal management, and providing insights into DAO activities for developers and researchers.

How to use

To use the mpc-tally-api-server, clone the repository, install dependencies using ‘bun install’, and build the project with ‘bun run build’. Configure your API key in a ‘.env’ file, and start the server using ‘bun run start’. For development mode, use ‘bun run dev’.

Key features

Key features include listing DAOs sorted by popularity or exploration status, fetching comprehensive DAO metadata, pagination support for large result sets, built with TypeScript and GraphQL, and full test coverage with Bun’s test runner.

Where to use

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Content

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

# 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:
TALLY_API_KEY=your_api_key_here
  1. 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

# 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:

{
  "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

Tools

No tools

Comments

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