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Mpc Tally Api Server
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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Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
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
undefined
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
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
- Create a
.envfile 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
.envfile - 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 directorybun run build- Build the projectbun run start- Run the built serverbun run dev- Run in development mode with auto-reloadbun test- Run testsbun test --watch- Run tests in watch modebun 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 paginationsortBy(optional): How to sort the DAOs (default: popular)- Options: “id”, “name”, “explore”, “popular”
License
MIT
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.










