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mpc-tally-api-server
Ein Modellkontext -Protokollserver (MCP), auf dem AI -Agenten mit der Tally -API interagieren und Zugriff auf DAO -Governance -Daten, Vorschläge und Metadaten gewährt. Erstellt mit TypeScript und GraphQL, bietet es eine sichere und effiziente Möglichkeit, DAO -Informationen durch standardisierte MCP -Funktionen zu holen und zu sortieren.
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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
- Create a
.env
file in the root directory:
TALLY_API_KEY=your_api_key_here
- 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
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Reviews

user_Kht1wfTc
The mpc-tally-api-server by crazyrabbitLTC is an outstanding tool for anyone needing efficient tally processing. The GitHub repository, accessible at https://github.com/crazyrabbitLTC/mpc-tally-api-server, provides all the necessary information and documentation. It's highly intuitive and the API server performs excellently, making it a must-have for developers in need of robust tally functionalities. Highly recommended!