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compound-mcp

compound-mcp

Remote
compound.mcp.junct.devFinance0Updated 30w ago

About compound-mcp

compound-mcp is a hosted MCP server for agents and clients that need Compound lending data. It exposes eight tools generated from the Compound API specification, with each tool mapped to an API endpoint.

Key features

  1. 01Eight tools for lending data
  2. 02Supply and borrow data
  3. 03Lending rates
  4. 04Hosted, with no authentication required
  5. 05Tools generated from the API specification

Use cases

  1. 01Checking Compound lending rates
  2. 02Reviewing supply and borrow data

MCP support

Exposes Compound API endpoints as MCP tools over Streamable HTTP. MCP clients can connect to the hosted endpoint without authentication.

Configuration

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

Endpointhttps://compound.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

Compound MCP Server

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

Hosted at compound.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": {
    "compound": {
      "url": "https://compound.mcp.junct.dev/mcp",
      "transport": "streamable-http"
    }
  }
}

About

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

Links

Keywords

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

Comments

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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.