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lido-mcp

lido-mcp

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

lido-mcp is a hosted MCP server that exposes Lido staking, delegation, and rewards data through six tools. It is intended for MCP clients and maps each tool directly to an endpoint in the Lido API specification.

Key features

  1. 01Six tools for Lido data
  2. 02Staking and delegation information
  3. 03Rewards data
  4. 04Streamable HTTP transport
  5. 05No authentication required

Use cases

  1. 01Inspect Lido staking data
  2. 02Review delegation information
  3. 03Retrieve rewards data

MCP support

Exposes Lido 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://lido.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

Lido MCP Server

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

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

About

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

Links

Keywords

Lido, 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.