B

Beyond Social (Farcaster)

A scalable server based on the Model Context Protocol, providing the ability to access social platform and on-chain data in a standardized manner.
2.5 points
27

What is Beyond MCP Server?

Beyond MCP Server is a server that implements the Model Context Protocol specification, enabling AI models to access data from multiple social platforms in a standardized manner. It currently supports Farcaster (through the Neynar API) and Twitter (placeholder), and will support more platforms such as Telegram and on-chain data in the future.

How to use Beyond MCP Server?

You can integrate the server with AI desktop applications such as Claude through simple configuration, or directly call its functions via the HTTP interface.

Use cases

Suitable for AI application development that requires integrating multi-platform social data, social data analysis, and application scenarios that need to combine on-chain and social data.

Main features

MCP complianceFully adheres to the Model Context Protocol specification, ensuring interoperability with other MCP-compatible systems.
Multi-platform supportDesigned to support multiple social platforms. Currently, Farcaster is implemented, and the Twitter interface is reserved.
Extensible architectureThrough a clear interface design, new platform data sources can be easily added.
Optimized data formatThe data is specially formatted, making it more suitable for processing and understanding by large language models.
User balance querySupports querying the wallet balance of Farcaster users by FID or username.
Channel searchSupports single-channel and batch-channel search functions to obtain detailed channel information.

Advantages and limitations

Advantages
The standardized interface simplifies multi-platform data access.
The optimized data structure improves the processing efficiency of AI models.
Flexible deployment options (stdio or HTTP).
Automatically handles the conversion from username to FID.
Supports batch channel search to improve efficiency.
Limitations
The Twitter function is not fully implemented yet.
An API key is required to use the Farcaster function.
Some advanced features require technical knowledge for configuration.

How to use

Installation preparation
Ensure that Node.js version 16+ is installed and obtain a Neynar API key.
Install the server
Clone the repository and install the dependencies.
Configure the environment
Copy the.env example file and fill in your API key.
Run the server
Choose the running mode that suits your needs.
Integrate into Claude desktop version
Modify the Claude configuration file to add the server configuration.

Usage examples

Analyze user social activitiesGet the user's social profile and recent activities, and generate a comprehensive analysis report.
Track trending topicsDiscover and analyze trending topics and trends on the current platform.
Wallet association analysisFind the associated social profile through the wallet address and analyze the activity pattern.

Frequently asked questions

How to get a Neynar API key?
Which social platforms are supported?
Can I query the profiles of multiple users at the same time?
How to add support for a new platform?
What's the difference between a username and an FID?

Related resources

Model Context Protocol specification
The official specification document of the MCP protocol
Neynar API documentation
The official documentation of the Farcaster API
GitHub repository
Project source code and issue tracking
Claude desktop version
A compatible AI desktop application
Installation
Copy the following command to your Client for configuration
{
  "mcpServers": {
    "beyond-social": {
      "command": "/usr/local/bin/node",
      "args": [
        "/full/path/to/beyond-mcp-server/dist/index.js",
        "--stdio"
      ]
    }
  }
}

{
  "mcpServers": {
    "beyond-social": {
      "command": "/usr/local/bin/node",
      "args": [
        "/full/path/to/beyond-mcp-server/dist/index.js",
        "--stdio"
      ],
      "env": {
        "NEYNAR_API_KEY": "YOUR_API_KEY_HERE",
        "ENABLE_FARCASTER": "true",
        "ENABLE_TWITTER": "false"
      }
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.
Featured MCP Services
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
85
4.3 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
140
4.5 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
1.7K
5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
829
4.3 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
6.7K
4.5 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
564
5 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
282
4.5 points
M
Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
753
4.8 points
AIbase
Zhiqi Future, Your AI Solution Think Tank
© 2025AIbase