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coinmarketcap-mcp

coinmarketcap-mcp

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coinmarketcap.mcp.junct.devFinance0Updated 30w ago
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About coinmarketcap-mcp

coinmarketcap-mcp turns the Coinmarketcap API specification into an MCP server for agents querying data, metrics, and on-chain analytics. It is hosted over Streamable HTTP and requires no authentication or API key.

Key features

  1. 0130 available tools
  2. 02Tools map to real API endpoints
  3. 03Hosted remote service
  4. 04No authentication or API key

Use cases

  1. 01Let agents query Coinmarketcap data
  2. 02Call data and metrics endpoints from MCP clients

MCP support

The MCP server exposes tools mapped to Coinmarketcap API endpoints over Streamable HTTP for MCP clients.

Configuration

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

Endpointhttps://coinmarketcap.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

Coinmarketcap MCP Server

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

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

Part of Junct — the agent-readiness layer for web3.

Quick Start

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

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

About

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

Links

Keywords: Coinmarketcap, MCP server, DeFi, AI agent, agent-ready API, crypto tools, Model Context Protocol

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.