Introducing Beyond MCP Server

Beyond MCP Server is an open-source implementation of the Model Context Protocol (MCP) that streamlines how Large Language Models (LLMs) access and use contextual data from external platforms. Initially built to integrate with Farcaster, it is designed from the ground up to be extendable, enabling developers to add new data sources or platforms (e.g., Twitter, Telegram, Blockchain and other custom APIs) with minimal effort.

Hosted at Beyond MCP GitHub Repo, this server is a powerful backbone for AI-driven applications requiring rich, real-time context. Whether creating a social media assistant, a knowledge-base bot, or a multi-platform “Utility AI Agent,” the Beyond MCP Server provides a consistent protocol and interface for retrieving, storing, and supplying conversation data to any LLM.

Part of the Beyond Network

The Beyond Network (beyondnetwork.xyz) is a broader ecosystem focused on building AI-native products and services. By incorporating the Beyond MCP Server, developers can tap into:

A Unified Context Layer: Gather thread histories, user profiles, trending topics, or any domain-specific data from multiple platforms in one place.

LLM Integration via Beyond AI SDK: Easily connect to state-of-the-art language models (Centralized and open-source LLMs) using the Beyond AI SDK.

Utility AI Agents: Rapidly prototype and deploy AI agents capable of performing tasks, answering questions, and automating workflows across various channels. (Coming soon 🤫)

How It All Fits Together: Architecture Diagram

Below is a simplified architecture diagram illustrating how agents leverage the Beyond MCP Server and the Beyond AI SDK to build powerful AI-driven applications:   

AI Apps and Agents – An application or interface like Beyond Chat that requests context and actions via the Model Context Protocol.

Beyond MCP Server – The central hub that provides “tools” or endpoints for retrieving data (e.g., Farcaster threads, Telegram chat or an onchain transaction). It normalizes and returns this data in a consistent format for any AI model to consume.

Beyond AI SDK – The layer that interfaces with LLMs, enabling your AI agent to generate intelligent responses or perform tasks based on the contextual data retrieved from the MCP Server.

Beyond Inference Network - Unified inference layer that orchestrates and routes AI requests across multiple SOTA Opensource foundation models including Deep Seek, Mistral, LLaMA, Qwen and More.

Beyond Blockchain: A specialized appchain built on Coinbase's Base L2 blockchain that provides fast, low-cost decentralized transactions and streamlined user onboarding through Beyond Passport (Smart Wallet).

This modular approach means you can plug in additional data providers—whether it’s a new social platform or a custom enterprise API—without altering the rest of the system. The MCP Server remains the single source of truth for context, and the Beyond AI SDK remains the engine that transforms that context into actionable AI outputs.

Getting Started

Clone the Repository
Head to Beyond MCP on GitHub and clone or fork the repository.

Configure Providers
Implement or enable the desired platform providers (e.g., Farcaster, Twitter, Onchain etc).

Integrate with Beyond AI SDK
Hook up your LLM of choice - OpenAI, Anthropic, or an open-source model through the Beyond Inference Network..

Build Your Agent
Develop a custom AI agent that consumes context from the MCP Server and responds or acts using the LLM’s capabilities.

As you iterate, you’ll discover that the Beyond MCP Server’s modular design and the Beyond Network’s supportive ecosystem make it straightforward to add new platforms, experiment with new AI features, and share your innovations with the community.

Learn More

Beyond MCP GitHub: github.com/Beyond-Network-AI/beyond-mcp-server

Beyond Network: beyondnetwork.xyz

Whether you are planning to integrate AI into social communities like Farcaster or build intelligent agents that plug into multiple services, Beyond MCP Server offers a solid foundation for the next generation of AI-driven applications.