mcpField
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aarna-mcp

aarna-mcp

Remote
aarna.mcp.junct.devFinance0Updated 30w ago

About aarna-mcp

aarna-mcp exposes Aarna’s crypto API to AI agents through a hosted MCP server. It provides tools for swap quotes, liquidity pools, and trading data, with each tool generated to correspond to an API endpoint.

Key features

  1. 01Get swap quotes
  2. 02Access liquidity pool data
  3. 03Retrieve trading data
  4. 04Use endpoint-mapped tools

Use cases

  1. 01Check a swap quote
  2. 02Review liquidity pool information
  3. 03Retrieve crypto trading data

MCP support

A hosted Streamable HTTP MCP server exposes Aarna API tools to MCP clients. It requires no authentication or API key.

Configuration

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

Endpointhttps://aarna.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

Aarna MCP Server

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

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

About

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

Links

Keywords

Aarna, 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.