mpc-tally-api-server
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.
No README could be loaded. View the project on GitHub for full documentation.
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.
Related MCP tools
🍒 Cherry Studio is a desktop client that supports for multiple LLM providers. Built for the Model Context Protocol to enhance AI capabilities.
Enhanced ChatGPT Clone: Features Agents, MCP, DeepSeek, Anthropic, AWS, OpenAI, Responses API, Azure, Groq, o1, GPT-5, Mistral, OpenRouter, Vertex AI, Gemini...
FastGPT is a knowledge-based platform built on the LLMs, offers a comprehensive suite of out-of-the-box capabilities such as data processing, RAG retrieval, ...
Composio equips your AI agents & LLMs with 100+ high-quality integrations via function calling for the Model Context Protocol. Enhance AI assistants with powerf
Playwright MCP server TypeScript-based implementation. Trusted by 22000+ developers. Trusted by 22000+ developers. Trusted by 22000+ developers.
📦 Repomix is a powerful tool that packs your entire repository into a single, AI-friendly file. Perfect for when you need to feed your codebase to Large Lan...
Run your own MCP server? See who uses it and what to fix.
Measure it with TrackMCP