How do I configure the 1mcpserver MCP Server in Cursor?

Add the server configuration to your `~/.cursor/mcp.json` file under the `mcpServers` object, specifying the URL as `https://mcp.1mcpserver.com/mcp/` and including required headers like `Accept: text/event-stream`, `Cache-Control: no-cache`, and your `API_KEY`.

Does the 1mcpserver MCP Server require an API key?

Yes, you need to provide an API key in the `API_KEY` header when configuring the server.

What is the purpose of the 1mcpserver MCP Server?

It allows AI developers to quickly find and integrate specialized MCP servers for their projects, enabling efficient building of complex applications without manual configuration.

MCP Connector

Discover and Configure MCP Servers Automatically

Name: 1mcpserver MCP Server
Availability: OnlineOnly
Author: particlefuture

MCP Server auto-discovers and configures other MCP servers, eliminating manual setup for AI tools.

Connect

Works with github

particlefuture

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Spark score

out of 100

Updated 5 months ago

Version 1.0.0

Models

universal

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Why it matters

Eliminate manual MCP server setup. This asset automatically discovers, selects, and configures necessary MCP servers for your tasks, streamlining your development and testing processes.

Outcomes

What it gets done

Automatically discover and configure MCP servers.

Perform quick and deep searches for specific MCP server needs.

Generate test code to verify MCP server functionality.

Build multi-step workflows using discovered MCP servers.

Install

Add it to your toolbox

Run in your project directory:

curl -fsSL https://spark.entire.vc/get/vb-1mcpserver | bash

Capabilities

Tools your agent gets

quick_search

Returns a list of MCP servers for specific purposes

deep_search

Breaks down complex tasks into components and finds suitable MCP servers

test_server_template_code

Returns sample test code for verifying MCP server functionality

Overview

1mcpserver MCP Server

This is a meta-MCP server that automates the discovery, selection, and configuration of other MCP servers. It eliminates the need for manual searching, installation, and setup of individual MCP servers, streamlining the process of integrating AI tools. Use this MCP server when you need to quickly find and integrate specialized MCP servers for your AI projects without the overhead of manual configuration. It's ideal for building multi-step workflows, performing complex task breakdowns, and testing server functionalities.

What it does

As an AI developer, I want to quickly find and integrate specialized MCP servers for my projects so that I can build complex applications efficiently without manual configuration.

For example, I can automatically configure the server by adding the following to my ~/.cursor/mcp.json file:

{
  "mcpServers": {
    "mcp-server-discovery": {
      "url": "https://mcp.1mcpserver.com/mcp/",
      "headers": {
        "Accept": "text/event-stream",
        "Cache-Control": "no-cache",
        "API_KEY": "value"
      }
    }
  }
}

Source README

A meta-MCP server that automatically discovers, selects, and configures other MCP servers for you. Eliminates the need to manually search, install, and configure individual MCP servers.

Installation

Remote Configuration

Add configuration to ~/.cursor/mcp.json or Claude desktop config - no installation required

From Source

git clone https://github.com/particlefuture/MCPDiscovery.git
cd MCPDiscovery
uv sync
uv run server.py

Configuration

Remote Configuration (Claude/Cursor)

{
  "mcpServers": {
    "mcp-server-discovery": {
      "url": "https://mcp.1mcpserver.com/mcp/",
      "headers": {
        "Accept": "text/event-stream",
        "Cache-Control": "no-cache",
        "API_KEY": "value"
      }
    }
  }
}

Local STDIO Configuration

{
  "mcpServers": {
    "mcp-servers-discovery": {
      "command": "/Users/jiazhenghao/.local/bin/uv",
      "args": [
        "--directory",
        "{PATH_TO_THE_CLONED_REPO}",
        "run",
        "server.py",
        "--local"
      ]
    }
  }
}

Available Tools

Tool	Description
`quick_search`	Returns a list of MCP servers for specific purposes
`deep_search`	Breaks down complex tasks into components and finds suitable MCP servers
`test_server_template_code`	Returns sample test code for verifying MCP server functionality

Features

Automatic discovery and configuration of MCP servers
No need for manual installation commands or API key retrieval
Quick search for specific MCP server requirements
Deep search with agentic planning for complex tasks
Automatic API key configuration and setup instructions
mcp.json file modification handling
Server testing capabilities
Building multi-step workflows using discovered MCP servers

Environment Variables

Optional

API_KEY - API key for accessing the remote server

Usage Examples

I want a MCP server that handles payment

Build me a website that analyzes other websites

Notes

Demo video is available at https://youtu.be/W4EAmaTTb2A. The server performs horizontal scaling for independent components and vertical scaling for sequential steps. Includes planning, testing, and execution phases for complex workflows.

FAQ

Common questions

Discussion