Farcaster
Provides tools to interact with the Farcaster network, allowing AI models to fetch casts, search channels, and analyze content.
What is Farcaster?
Farcaster is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to provides tools to interact with the farcaster network, allowing ai models to fetch casts, search channels, and analyze content.
Provides tools to interact with the Farcaster network, allowing AI models to fetch casts, search channels, and analyze content.
This server falls under the Communication and APIs categories on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Provides tools to interact with the Farcaster network, allow
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx farcaster-mcp-serverConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about Farcaster
What is Farcaster?
Farcaster is a Model Context Protocol (MCP) server that provides tools to interact with the farcaster network, allowing ai models to fetch casts, search channels, and analyze content. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Farcaster?
Follow the installation instructions on the Farcaster GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with Farcaster?
Farcaster works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Farcaster free to use?
Yes, Farcaster is open source and available under the MIT License license. You can use it freely in both personal and commercial projects.
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Browse More Communication MCP Servers
Explore all communication servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.
Set Up Farcaster in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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