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beefy-mcp

beefy-mcp

Remote
beefy.mcp.junct.devFinance0Updated 30w ago
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About beefy-mcp

beefy-mcp is a hosted MCP server that provides MCP clients and AI agents with access to Beefy API endpoints. Its tools are generated from the API specification, and the endpoint requires no authentication.

Key features

  1. 01Ten tools for Beefy data
  2. 02Tools map to API endpoints
  3. 03Streamable HTTP transport
  4. 04No authentication required

Use cases

  1. 01Retrieve Beefy protocol data
  2. 02Use Beefy API operations through MCP

MCP support

Exposes Beefy API endpoints as tools to MCP clients over Streamable HTTP. The hosted endpoint requires no authentication.

Configuration

Remote servers need no local install. Pick your client, then copy the config or install in one click.

Endpointhttps://beefy.mcp.junct.dev/mcp
Copy install command
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.

Tools

Details

From the project README

Beefy MCP Server

MCP server for Beefy. Agent-ready API for Beefy.

Hosted at beefy.mcp.junct.dev/mcp. Free to use. No auth. No API key required.

Part of Junct — the agent-readiness layer for the crypto stack.

Quick Start

Add to your MCP client config (Claude Desktop, Cursor, Windsurf):

{
  "mcpServers": {
    "beefy": {
      "url": "https://beefy.mcp.junct.dev/mcp",
      "transport": "streamable-http"
    }
  }
}

About

This MCP server is deterministically generated from the Beefy API specification. Every tool maps 1:1 to a real API endpoint — no hallucinated endpoints, no phantom tools.

Links

Keywords

Beefy, MCP server, DeFi, AI agent, agent-ready API, crypto tools, Model Context Protocol, hosted MCP

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.