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gmx-mcp

gmx-mcp

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

gmx-mcp exposes Gmx API endpoints to AI agents through a hosted MCP server. Its tools are generated from the API specification, with each tool corresponding to an endpoint.

Key features

  1. 01139 tools for Gmx API endpoints
  2. 02Hosted Streamable HTTP endpoint
  3. 03No authentication or API key required
  4. 04Tools map 1:1 to API endpoints

Use cases

  1. 01Query Gmx perpetuals and options data
  2. 02Access position data through an MCP client

MCP support

The hosted MCP server exposes Gmx API endpoints as tools to MCP clients. It uses Streamable HTTP and requires no authentication.

Configuration

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

Endpointhttps://gmx.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

Gmx MCP Server

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

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

About

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

Links

Keywords

Gmx, 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.